Publications — Dr. Jayanta Das

2026
Book Publications
  • Das, J. & Alam, A. (2026). Exploring New Dimensions for Sustainable Development Goals - Innovative Approaches in Geographical Research 2024. Springer Nature Switzerland AG.DOI
  • Das, J., Mondal, T., Mawale, G.N., Kamruzzaman, M., & Alam, G. M. (2026). The Nexus between Geography and Sustainability: Exploring Emerging Tools and Techniques. Springer Nature Switzerland AG. DOI
Journal Articles
  • Abdo, H.G., Richi, S.M., Alqadhi, S., Prasad, P., Katipoğlu, O.M., Nguyen-Huy, T., Das, J., Almohamad, H., & Mallick, J. (2026). Advancing Forest Fire Susceptibility Mapping in the Eastern Mediterranean Using Multi-Algorithm Machine Learning. Fire Technol 62, 103. DOI
  • Mohanta, A., Banerjee, B., Mishra, S., & Das, J. (2026). The Future of Blue Carbon Under Climate Change: A Systematic Synthesis and Scenario-Based Assessment of Global Coastal Carbon Stocks. Regional Studies in Marine Science. DOI
  • Mandal, S., Das, D., Hoque, A. M., Chaki, R., Das, J., & Ghosh, D. (2026). Bridging Modelled and Lived Flood Risk: A Participatory GIS Approach to Community-Based Flood Vulnerability Mapping in North Bengal, India. Global and Earth Surface Processes Change. DOI
Chapters in Books
    • Singh, A., Maity, S., Sahoo, S., Govind, A., Das, J., & Biswas, B. (2026). Exploring the Seasonal Variability of the Ecosystem Quality in the Sagar Islands of the Indian Sundarbans. In: Singha, C., Sahoo, S., & Govind, A. (eds) Sustainable Management of Delta Ecosystems Resilience. Deltas of the World. Springer, Cham. DOI
    • Maity, S., Sutradhar, C., Biswas, B., Das, J., Sahoo, S., & Govind, A. (2026). Developing the Agricultural Performance Index (API) Using the Open-Source SAR Data on Google Earth Engine (GEE): A Study in Paschim Medinipur of West Bengal, Eastern India. In: Das, J., & Alam, A. (eds) Exploring New Dimensions for Sustainable Development Goals. Springer Proceedings in Geography and Sustainability. Springer, Cham. DOI
    • Goswami, K., Bora, S.L., Das, J., Bhuyan, K., & Hazarika, P.J. (2026). Assessing Agricultural Drought in Tinsukia District Using Remote Sensing Indices. In: Das, J., & Alam, A. (eds) Exploring New Dimensions for Sustainable Development Goals. Springer Proceedings in Geography and Sustainability. Springer, Cham. DOI
    • Bora, S.L., Das, J., Nath, S.J., Bhuyan, K., & Hazarika, P.J. (2026). Predicting Vehicular CO2 Emissions Using Machine Learning: Insights for Climate Mitigation. In: Das, J., & Alam, A. (eds) Exploring New Dimensions for Sustainable Development Goals. Springer Proceedings in Geography and Sustainability. Springer, Cham. DOI
    • Das, J., Mandal, T., Mawale, G., Kamruzzaman, M., & Alam, G. M. M. (2026). Geography and sustainability in the era of emerging technologies. In: Das, J., Mandal, T., Mawale, G., Kamruzzaman, M., & Alam, G. M. M. (eds) The Nexus Between Geography and Sustainability. Sustainability Solutions. Springer, Cham. DOI
    • Olia, N. J., Rupom, M. S. A., Tamim, A., Hossain, A., Das, J., Kamruzzaman, M., & Imon, A. H. M. R. (2026). Air quality prediction and public health risk assessment using machine learning: A case study of Dhaka and Rajshahi in Bangladesh. In: Das, J., Mandal, T., Mawale, G., Kamruzzaman, M., & Alam, G. M. M. (eds) The Nexus Between Geography and Sustainability. Sustainability Solutions. Springer, Cham. DOI
    • Tamim, A., Asadujjaman, D. M., Hossain, A., Rahman, M. M., Das, J., Kamruzzaman, M., & Imon, A. H. M. R. (2026). A machine learning approach to address food security: Predicting household food consumption in Bangladesh. In: Das, J., Mandal, T., Mawale, G., Kamruzzaman, M., & Alam, G. M. M. (eds) The Nexus Between Geography and Sustainability. Sustainability Solutions. Springer, Cham. DOI
    • Bora, S. L., Bharali, S., Bhuyan, K., Das, J., & Hazarika, P. J. (2026). Geospatial analysis of urbanization, climate change, and environmental impacts in Tinsukia District, Assam. In: Das, J., Mandal, T., Mawale, G., Kamruzzaman, M., & Alam, G. M. M. (eds) The Nexus Between Geography and Sustainability. Sustainability Solutions. Springer, Cham. DOI
    • Alam, N. S., Mitu, M. A., Siddik, M. F., Hossain, A., Das, J., Kamruzzaman, M., & Imon, A. H. M. R. (2026). Modeling and predicting air quality index of Bangladesh and India using machine learning approach. In: Das, J., Mandal, T., Mawale, G., Kamruzzaman, M., & Alam, G. M. M. (eds) The Nexus Between Geography and Sustainability. Sustainability Solutions. Springer, Cham. DOI
    • Sajol, M. M. A., Naorin, M. A. A., Promy, S. S., Hossain, A., Das, J., Kamruzzaman, M., & Imon, A. H. M. R. (2026). Rice yield prediction of Rajshahi, Dhaka, Chattogram, and Khulna districts based on climatic variables: A machine learning approach. In: Das, J., Mandal, T., Mawale, G., Kamruzzaman, M., & Alam, G. M. M. (eds) The Nexus Between Geography and Sustainability. Sustainability Solutions. Springer, Cham. DOI
2025
Book Publications
  • Biswas, B., Ghute, B., & Das, J. (2025). Geoinformatics for Flood Risk Management: Applications and Strategies. CRC Press. DOI
  • Das, J., Pradhan, B., Mitra, R., Chouhan, P., & Le, C. (2025). Technology-Based Solutions for Sustainable Groundwater Management: Challenges, Models, and Strategies. Elsevier. ISBN: 9780443337871
  • Das, J., & Halder, S. (2025). Progress in Multicriteria Decision Making Models: A New Paradigm to Monitor Hazards. Springer, Cham. DOI
  • Chouhan, P., Das, K.C., Roy, A., Kapasia, N., Rahaman, M., & Das, J. (2025). Women's Health Dynamics in South Asia: Perspectives, Challenges, and Innovations. Springer, Cham. DOI
  • Das, J. & Alam, J. (2025). Recent Advancement in Geographical Research: Instances from India. Springer, Cham. DOI
Journal Articles
  • Das, J., & Rahman, A. T. M. (2025). Integrating geospatial intelligence and machine learning for smart environmental monitoring and management. Environmental Science and Pollution Research, 1-4. .DOI
  • Kar, S., Barman, B. & Das, J. (2025). Identification of Groundwater Potential Zones in North-Western Bankura, West Bengal, India, Using GIS Based MCDA Techniques TOPSIS and CoCoSo Journal of the Indian Society of Remote Sensing (2025) .DOI
  • Kunwar, S., Khali, H., Praveenkumar, TR, Meer, M.S., & Das J. (2025). Integrating GIS and ensemble learning models to predict landslide-prone zones in Chamoli District, India Discover Applied Sciences, 7, 1320 (2025) .DOI
  • Qaraghulia, K., Mursheda, M.F., Said, M.A.M., Sa’adi, Z. & Das, J. (2025) Statistical Evaluation of Gridded Meteorological Datasets Aggregated Through Compromise Programming: A Case Study in Nineveh, Iraq Jurnal Kejuruteraan 37(7): 3255-3278 .DOI
  • Naskar, S., Biswas, B., Das, J. & Osman, S. A. (2025). Identification of dengue risk-prone areas using multicriteria decision-making model and machine learning algorithm in Kolkata and Howrah municipal corporation areas Discover Applied Sciences .DOI
  • Mandal, T., Das, J., Rahman, A.T.M.S., Saha, P., & Saha, S. (2025). Understanding the Teleconnections of ENSO and IOD with Rainfall Variation in India Environmental Modeling & Assessment.DOI
  • Patel, S.K., Ghosh, P., Gupta, D.S.,Gahlot, N., & Das, J., (2025). Assessment of flood hazards using morphometric compound factor and hypsometric integral in lower Gandak basin, India.J. Environ Monit Assess A,197, 1088. DOI
  • Bora, S.L., Bharali, S., Bhuyan, K., Das, J., Hazarika, P., Eliwa, M., Abdalla, G. S. & Abouelenein, M. (2025). Detecting Warming Trends and Climate Regime Transitions Using Satellite-Derived Temperature Data in Northeast India. European Journal of Pure and Applied Mathematics, 18(3), 6655. DOI
  • Golder, J., Das, J. & Bhandari, G. (2025). Impact of Climate Change and Anthropogenic Activities on Shallow Landslide Initiation in Pangthang, East Sikkim: A Geospatial Technology and FAHP-Based Approach. J. Inst. Eng. India Ser. A. DOI
  • Meer, M.S., Mishra, A.K., Nagaraju, V., Das, J., & Tariq, A. (2025). Satellite-based assessment of extreme rainfall during the 2019 Indian monsoon: climatic linkages to IOD and ENSO. Model. Earth Syst. Environ., 11, 305. DOI
  • Rajput, S., Mohanta, A., Banerjee, B., Das, J., Mishra, S., & Sankar, H. (2025). Harnessing GIS, remote sensing, and machine learning for sustainable management and carbon sequestration of non-timber forest products in Gujarat, India. Agroforest Syst, 99, 92. DOI
  • Barman, J., Biswas, B., Das, J., Hasher F.F.B., & Zhran, M. (2025). Least cost path analysis for alternative road network assessment of landslide-prone NH-2, Mizoram, NE India. Geocarto International, 40(1), 2490268. DOI
  • Roy, S.K., Dey, S., Das, J., Hossen, B., Das, S., Hasan, M.M., & Mojumder, P. (2025). Utilising Machine Learning Approaches for Enhanced Landslide Susceptibility Mapping in Sikkim, India. Geological Journal. DOI
  • Mitra, R., & Das, J. (2025). Identification of channel shifting patterns and bank erosion-prone sites and challenges of riverine livelihood in the lower Tista River basin. Environ Sci Pollut Res. DOI
Chapters in Books
  • Guria, R., Mishra, M., & Das, J. (2025). Application of MARCOS, CoCoSo, and GRA MCDM Models in a Hybrid Approach for Landslide Susceptibility Assessment in Wayanad District, Kerala (India). In: Das, J., & Halder, S. (eds) Progress in Multicriteria Decision Making Models. Springer. DOI
  • Barman, J., Kar, S., Barman, B., Das, J., Biswas, B., & Roy, S. (2025). Flood Susceptibility Modeling of Tripura, India: An Application of Preference Selection Index (PSI) and Geospatial Technology. In: Das, J., & Halder, S. (eds) Progress in Multicriteria Decision Making Models. Springer. DOI
  • Halder, S., Saha, S., Sarda, R., & Das, J. (2025). Usage and Future Path of MCDM for Hazard Monitoring and Risk Assessment. In: Das, J., & Halder, S. (eds) Progress in Multicriteria Decision Making Models. Springer. DOI
2024
Book Publications
  • Das, J., & Halder, S. (2024). New Advancement in Geomorphological Research: Issues and Challenges in Quantitative Spatial Science. Springer, Cham. DOI
  • Chouhan, P., Roy, A., Kapasia, N., Das, J., & Rahaman, M. (2024). Sexual and Reproductive Health of Women - Dimensions and Perspectives. Springer, Cham. DOI
Journal Articles
  • Barman, J., Halder, S., Das, J., Ali, S. S., Hasher, F. F. B., Rukhsana & Zhran, M. (2024). Sustainable Ecotourism Suitability Assessment Using the Integrated TOPSIS Model in the State of Mizoram, India. Sustainability, 16(24), 11066. DOI
  • Abraham, M., Santhanam, K., Meer, M.S., & Das, J. (2024). An approach to demarcate prospective areas for groundwater recharge: A case Study of Upper Thurinjalar, Tamil Nadu, India. Physics and Chemistry of the Earth, 136, 103780. DOI
  • Zhran, M., Ghanem, K., Tariq, A., Alshehri, F., Jin, S., Das, J., et al. (2024). Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch. Environ Sci Eur, 36, 184. DOI
  • Arefin, R., Rahman, A.T.M.S., Das, J., Jahan, C.S., Mazumder, Q.H., Gomaa, E., Abd El Aal, A.K., Radwan, A.E. & Youssef, Y.M. (2024). Megacity solid waste disposal suitability mapping in Dhaka, Bangladesh: an integrated approach using remote sensing, GIS and statistics. Environ Monit Assess, 196, 910. DOI
  • Osman, S.A., & Das, J. (2024). A robust ensemble of hybrid and bivariate statistical models for flood prediction mapping in Lower Damodar River Basin of India. Geosystems and Geoenvironment, 3(4), 100312. DOI
  • Saha, P., Mitra, R., Das, J., & Mandal, D.K. (2024). Urban Flash flood prediction modelling using probabilistic and statistical approaches. Results in Earth Sciences, 2, 100032. DOI
  • Barman, J., & Das, J. (2024). Assessing classification system for landslide susceptibility using Frequency Ratio, AHP and geospatial technology mapping in Aizawl district, NE India. Advances in Space Research, 74(3), 1197–1224. DOI
  • Barman, J., & Das, J. (2024). Comprehensive landslide prediction mapping using bivariate statistical models of Mizoram state of Northeast India. Journal of Spatial Science, 69, 963–993. DOI
  • Nagamani, K., Mishra, A.K., Meer, M.S., & Das, J. (2024). Understanding flash flooding in the Himalayan Region: a case study. Scientific Reports, 14, 7060. DOI
Chapters in Books
  • Rahman, S., Hossain, A., Munam, A.M., Lima, A.A., Bhuiya, R.A., Das, J., & Kamruzzaman, M. (2024). Mental Health of Pregnant Women in Bangladesh During the COVID-19 Pandemic: A Cross-Sectional Study. In: Chouhan, P., Roy, A., Kapasia, N., Das, J., Rahaman, M. (eds.), Sexual and Reproductive Health of Women. Springer. DOI
  • Halder, S., & Das, J. (2024). Raising the Agenda of 'Paradigm Shift' in Applied Geomorphology: Question(s) or Acceptability. In: Das, J., & Halder, S. (eds.), New Advancements in Geomorphological Research. Springer. DOI
  • Mitra, R., Das, J., & Mandal, D.K. (2024). Geospatial Modelling of Tista River Flood Hazard and Its Impact on the Riparian Inhabitants in Eastern India. In: Das, J., & Halder, S. (eds.), New Advancements in Geomorphological Research. Springer. DOI
2023
Book Publications / Edited Volumes
  • Das, J., & Bhattacharya, S.K. (eds.) (2023). Monitoring and Managing Multi-hazards: A Multidisciplinary Approach. Springer, Cham. DOI
  • Das, J., & Halder, S. (eds.) (2023). Advancement of GI-Science and Sustainable Agriculture: A Multi-dimensional Approach. Springer, Cham. DOI
  • Das, J., & Alam, A. (eds.) (2023). Recent Advancement in Geographical Studies: A Multidimensional Outlook. Rajesh Publications. ISBN: 9789391139605
Journal Articles
  • Sutradhar, C., Poddar, D., & Das, J. (2023). Optimization of conditioning factors for groundwater potential zonation using GIS-based single parameter and map removal sensitivity analysis in Alipurduar district, West Bengal, India. Modeling Earth Systems and Environment, 10, 1671–1694. DOI
  • Barman, J., Ali, S.S., Biswas, B., & Das, J. (2023). Application of index of entropy and geospatial techniques for landslide prediction in Lunglei district, Mizoram, India. Natural Hazards Research, 3(3), 508–521. DOI
  • Mitra, R., Das, J., & Kamruzzaman, M. (2023). Application of TOPSIS method for flood susceptibility mapping using Excel and GIS. MethodsX, 11, 102263. DOI
  • Das, J., Saha, P., Mitra, R., Alam, A., & Kamruzzaman, M. (2023). GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India. Heliyon, 9(5), e16186. DOI
  • Osman, S.A., & Das, J. (2023). GIS-based flood risk assessment using multi-criteria decision analysis of Shebelle River Basin in southern Somalia. SN Applied Sciences, 5, 134. DOI
  • Alam, J., Saha, P., Mitra, R., & Das, J. (2023). Investigation of spatio-temporal variability of meteorological drought in the Luni River Basin, Rajasthan, India. Arabian Journal of Geosciences, 16(3), 201. DOI
Chapters in Books
  • Saha, S., Das, J., & Halder, S. (2023). Nexus Between GIScience and Sustainable Agriculture. In: Advancement of GI-Science and Sustainable Agriculture: A Multi-dimensional Approach (pp. 3-11). Cham: Springer Nature Switzerland. DOI
  • Poddar, I., Basak, A., Alam, J., Das, J., & Alam, A. (2023). Application of RS-GIS-Based Multi-Criteria Decision-Making Model (MCDM) on Site Suitability Analysis for Potato Cultivation in Jalpaiguri District, West Bengal, India. In: Advancement of GI-Science and Sustainable Agriculture: A Multi-dimensional Approach (pp. 81-98). Cham: Springer Nature Switzerland. DOI
  • Kamruzzaman, M., Al Mamun, M. A., Das, J., Kamruzzaman, & Alam, G. M. (2023). Employment Potential of Sericulture for Underprivileged Section: Assessment of Value Chain Analysis in Bangladesh. In: Advancement of GI-Science and Sustainable Agriculture: A Multi-dimensional Approach (pp. 185-198). Cham: Springer Nature Switzerland. DOI
  • Mitra, R., Sarkar, A., Hossain, G., Roy, D., Mandal, G., Das, J., & Mandal, D. K. (2023). Development of Objective-Based Multi-criteria Decision-Making Approach in Crop Suitability Assessment for Maize Production Using GIS. In: Advancement of GI-Science and Sustainable Agriculture: A Multi-dimensional Approach (pp. 199-215). Cham: Springer Nature Switzerland. DOI
  • Poddar, D., Mandal, T., & Das, J. (2023). Spatio-Temporal Changes of Rainfall Pattern Under Changing Climate in West Bengal, India. In: Alam, A., Rukhsana (eds), Climate Change, Agriculture and Society. Springer, Cham. DOI
  • Barman, J., Biswas, B., & Das, J. (2023). Active Tectonics and Associated Channel Shifting Pattern of Neora River Basin, Darjeeling Himalaya. In: Monitoring and Managing Multi-hazards (pp. 19-31). Springer, Cham. DOI
  • Hlanze, D. K., Mulungu, D. M. M., Ndomba, P., Tfwala, S., Mabaso, S., Dlamini, W. M., & Das, J. (2023). Estimating Soil Loss Rate and Sediment Yield of the Proposed Ngololweni Earth Dam, Kingdom of Eswatini. In: Monitoring and Managing Multi-hazards (pp. 33-64). Springer, Cham. DOI
  • Bora, S. L., Das, J., Bhuyan, K., & Hazarika, P. J. (2023). Flood Susceptibility Mapping Using GIS and Multi-criteria Decision Analysis in Dibrugarh District of Assam, North-East India. In: Monitoring and Managing Multi-hazards (pp. 65-79). Springer, Cham. DOI
  • Al Mamun, M., Rahman, A. T. M., Shabee, M., Aziz, S. S., Das, J., Alam, G. M., & Kamruzzaman, M. (2023). Effects of Climatic Hazards on Agriculture in the Teesta Basin of Bangladesh. In: Monitoring and Managing Multi-hazards (pp. 81-96). Springer, Cham. DOI
  • Barman, J., Biswas, B., & Das, J. (2023). Mizoram, the Capital of Landslide: A Review of Articles Published on Landslides in Mizoram, India. Monitoring and Managing Multi-hazards, 97-104. DOI
  • Poddar, I., Alam, J., Basak, A., Mitra, R., & Das, J. (2023). Application of a Geospatial-Based Subjective MCDM Method for Flood Susceptibility Modeling in Teesta River Basin, West Bengal, India. In: Monitoring and Managing Multi-hazards (pp. 135-152). Springer, Cham. DOI
  • Poddar, D., Mukhopadhyay, S., & Das, J. (2023). Assessment of the Social Impact of Arsenicosis Through Groundwater Arsenic Poisoning in Malda District. In: Monitoring and Managing Multi-hazards (pp. 221-235). Springer, Cham. DOI
  • Gupta, P., Tignath, S., Kathal, D., Choudhury, S., Mukherjee, K., & Das, J. (2023). Groundwater Depletion Zonation Using Geospatial Technique and TOPSIS in Raipur District, Chhattisgarh, India. In: Monitoring and Managing Multi-hazards (pp. 237-251). Springer, Cham. DOI
  • Mamun, M., Al, A., Rahman, A. T. M., Shabee, M., Aziz, S. S., Das, J., ...& Kamruzzaman, M. (2023). Adaptation to Climate Change in Agriculture at Teesta Basin in Bangladesh. In: Monitoring and Managing Multi-hazards (pp. 293-306). Springer, Cham. DOI
  • Rahaman, A., Biswas, B., Barman, J., Suresh, V. M., Kishor, B., & Das, J. (2023). Delineation of Groundwater Potential Zones Through AHP: A Case Study from Tamil Nadu, India. In: Monitoring and Managing Multi-hazards (pp. 315-329). Springer, Cham. DOI
2022
Journal Articles
  • Mitra, R., Das, J. (2022). A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India. Environmental Science and Pollution Research, 30, 16036–16067. DOI
  • Mitra, R., Saha, P., & Das, J. (2022). Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India. Geomatics, Natural Hazards and Risk, 13(1), 2183–2226. DOI
  • Basak, A., Rahman, A.T.M.S., Das, J., Hosono, T., & Kisi, O. (2022). Drought forecasting using the Prophet Model in semi-arid climate region of western India. Hydrological Sciences Journal, 67(9), 1397–1417. DOI
  • Kamruzzaman, M., Rahman, A.T.M.S., Basak, A., Alam, J., & Das, J. (2022). Assessment and adaptation strategies of climate change through the prism of farmers' perception: A case study. International Journal of Environmental Science and Technology, 20(5), 5609–5628. DOI
  • Saha, S., Das, J., & Mandal, T. (2022). Investigation of the watershed hydro-morphologic characteristics through the morphometric analysis: a study on Rayeng basin in Darjeeling Himalaya. Environmental Challenges, 7, 100463. DOI
  • Mandal, T., Saha, S., Das, J., & Sarkar, A. (2022). Groundwater depletion susceptibility zonation using TOPSIS model in Bhagirathi river basin, India. Modeling Earth Systems and Environment, 8(2), 1711–1731. DOI
  • Choudhury, S., Basak, A., Biswas, S., & Das, J. (2022). Flash Flood Susceptibility Mapping Using GIS-Based AHP Method. In Pradhan, B., Shit, P.K., Bhunia, G.S., et al. (eds.), Spatial Modelling of Flood Risk and Flood Hazards. Springer. DOI
2021
  • Basak, A., Das, J., Rahman, A.T.M., & Pham, Q.B. (2021). An Integrated Approach for Delineating and Characterizing Groundwater Depletion Hotspots in a Coastal State of India. Journal of the Geological Society of India, 97(11), 1429–1440. DOI
  • Das, J., Mandal, T., Rahman, A.S., & Saha, P. (2021). Spatio-temporal characterization of rainfall in Bangladesh: an innovative trend and discrete wavelet transformation approaches. Theoretical and Applied Climatology, 143(3), 1557–1579. DOI
  • Das, J., Rahman, A.S., Mandal, T., & Saha, P. (2021). Exploring driving forces of large-scale unsustainable groundwater development for irrigation in lower Ganga River basin in India. Environment, Development and Sustainability, 23(5), 7289–7309. DOI
  • Mandal, T., Sarkar, A., Das, J., Rahman, A.S., & Chouhan, P. (2021). Comparison of Classical Mann–Kendall Test and Graphical Innovative Trend Analysis for Analyzing Rainfall Changes in India. In: Climate Change Impacts, Mitigation and Adaptation in Developing Countries. DOI
2020
  • Das, J., Gayen, A., Saha, P., & Bhattacharya, S.K. (2020). Meteorological drought analysis using Standardized Precipitation Index over Luni River Basin in Rajasthan, India. SN Applied Sciences, 2(9). DOI
  • Das, J., Rahman, A.S., Mandal, T., & Saha, P. (2020). Challenges of sustainable groundwater management for large scale irrigation under changing climate in Lower Ganga River basin in India. Groundwater for Sustainable Development, 11, 100449. DOI
  • Rahman, A.T.M.S., Hosono, T., Quilty, J.M., Das, J., & Basak, A. (2020). Multiscale Groundwater Level Forecasting: Coupling New Machine Learning Approaches with Wavelet Transforms. Advances in Water Resources, 141, 103595. DOI
  • Das, J., Mandal, T., Saha, P., & Bhattacharya, S.K. (2020). Variability and trends of rainfall using non-parametric approaches: A case study of semi-arid area. MAUSAM, 71(1), 33–44.
2019
  • Das, J., Mandal, T., & Saha, P. (2019). Spatio-temporal trend and change point detection of winter temperature of North Bengal, India. Spatial Information Research, 27(4), 411–424. DOI
2018
  • Das, J., & Bhattacharya, S.K. (2018). Trend analysis of long-term climatic parameters in Dinhata of Koch Bihar district, West Bengal. Spatial Information Research, 26(3), 271–280. DOI
  • Das, J. (2018). Regional disparity in the level of development in West Bengal: A geographical analysis. Indian Journal of Regional Science, 50(1), 53–63.
  • Das, J., & Bhattacharya, S.K. (2018). Tobacco Cultivation: Time to Ban Its Production in Dinhata Subdivision of Koch Bihar District, West Bengal. Research Directions, 6(1), 1–10.
  • Poddar, D., Das, J., & Mandal, T. (2018). Identification of Factors and Spatial Variation in the Level of Development in India: An Empirical Analysis. Review of Research, 7(10), 1–17.
  • Mandal, T., Poddar, D., & Das, J. (2018). Nature and determinates of labour Migration: A case study of Koch Bihar district. International Journal of Research and Analytical Reviews, 5(3), 515–527.
2016
  • Das, J., & Bhattacharya, S.K. (2016). Profitable and viable alternative to tobacco crop in Dinhata Subdivision of Koch Behar district, West Bengal. Indian Journal of Landscape System and Ecological Studies, 39(2), 70–88.
  • Das, J. (2016). Role of Self-Help Groups in Socioeconomic Change of Rural Women: A Micro Level Study. Indian Streams Research Journal, 6(1), 1–11.
2012
  • Das, J. (2012). Probability and variability analysis of rainfall characteristics of Dinhata in Koch Behar district of West Bengal. Golden Research Thoughts, 2(1), 1–9.
2011
  • Das, J. (2011). Factors influencing the socio-economic status of Toto tribe in Madarihat block of Jalpaiguri district, West Bengal. Geo Analyst, 1(2), 66–71.
Editorial Work & Special Issues
  • Lead Guest editor for special issue on Integrating Geospatial Intelligence and Machine Learning for Smart Environmental Monitoring and Management, Journal of Environmental Science and Pollution Research (Springer), IF 5.8 (2022).
  • Editor: Journal of Water (Open Access Pub) — editorial board member.
  • Lead Guest editor — Indian Journal of Spatial Science, Volume 15 (Special issue), 2024.
  • Lead Guest editor — Hill Geographer special issue on climate change & hydro-geomorphological hazards.