My publications

1. Masroor, M., Sajjad, H., Rehman, S., Singh, R., Rahaman, M. H., Sahana, M., ... & Avtar, R. (2022). Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin, India. Geoscience Frontiers, 13(2), 101312.https://doi.org/10.1016/j.gsf.2021.101312, Elsevier Impact Factor: 12.7, Science Citation Index Expanded, Scopus

2. Masroor, M., Rehman, S., Avtar, R., Sahana, M., Ahmed, R., & Sajjad, H. (2020). Exploring climate variability and its im pact on drought occurrence: Evidence from Godavari Middle sub-basin, India. Weather and Climate Extremes, 30, 100277. https://doi.org/10.1016/j.wace.2020.100277, Elsevier Impact Factor: 7.2, Science Citation Index Expanded, Scopus

3. Masroor, M., Rehman, S., Sajjad, H., Rahaman, M. H., Sahana, M., Ahmed, R., & Singh, R. (2021). Assessing the impact of drought conditions on groundwater potential in Godavari Middle Sub-Basin, India using analytical hierarchy process and random forest machine learning algorithm. Groundwater for Sustainable Development, 13, 100554. https://doi.org/10.1016/j.gsd.2021.100554, Elsevier Impact Factor: 5.8, Science Citation Index Expanded, Scopus

4. Masroor, M., Rahaman, M. H., & Sajjad, H. (2023). Assessing farmers’ perception based composite drought vulnerability in Godavari Middle Sub-basin, India. International Journal of Disaster Risk Reduction, 92, 103747, Elsevier Impact Factor: 4.8, Science Citation Index Expanded, Scopus

5. Masroor, M., Razavi-Termeh, S. V., Rahaman, M. H., Choudhari, P., Kulimushi, L. C., & Sajjad, H. (2023). Adaptive neuro fuzzy inference system (ANFIS) machine learning algorithm for assessing environmental and socio-economic vulnerability to drought: A study in Godavari middle sub-basin, India. Stochastic Environmental Research and Risk Assessment, 37(1), 233-259, Springer Impact Factor: 3.9, Emerging Sources Citation Index, Scopus

6. Masroor, M., Avtar, R., Sajjad, H., Choudhari, P., Kulimushi, L. C., Khedher, K. M., ... & Sahu, N. (2022). Assessing the Influence of Land Use/Land Cover Alteration on Climate Variability: An Analysis in the Aurangabad District of Maharashtra State, India. Sustainability, 14(2), 642. Impact Factor: 3.3, Science Citation Index Expanded, Social Science Citation Index

7. Masroor, M., Sajjad, H., Kumar, P., Saha, T. K., Rahaman, M. H., Choudhari, P., ... & Saito, O. (2023). Novel Ensemble Machine Learning Modeling Approach for Groundwater Potential Mapping in Parbhani District of Maharashtra, India. Water, 15(3), 419. Impact Factor: 3.0, Web of Science, Science Citation Index Expanded, Scopus

8. Masroor, M., & Sajjad, H. (2024). Understanding Climate Change Dynamics in the Godavari Middle Sub-basin Using Parametric and Non-parametric Models. Geosystems and Geoenvironment, 100269. https://doi.org/10.1016/j.geogeo.2024.100269 Elsevier, Scopus

9. Roshani., Sajjad, H., Rahaman, M. H., Masroor, M., Sharma, Y., Sharma, A., & Saha, T. K. (2024). Vulnerability assessment of forest ecosystem based on exposure, sensitivity and adaptive capacity in the Valmiki Tiger Reserve, India: A geospatial analysis. Ecological Informatics, 80, 102494. Elsevier Impact Factor: 5.9, Science Citation Index Expanded, Scopus

10.  Roshani, Sajjad, H., Rahaman, M. H., Rehman, S., Masroor, M., & Ahmed, R. (2023). Assessing forest health using remote sensing-based indicators and fuzzy analytic hierarchy process in Valmiki Tiger Reserve, India. International Journal of Environmental Science and Technology, 20(8), 8579-8598. Springer Impact Factor: 3.4, Emerging Sources Citation Index, Scopus

11.  Roshani, Rahaman, M. H., Masroor, M., Sajjad, H., & Saha, T. K. (2024). Assessment of habitat suitability and potential corridors for Bengal tiger (Panthera tigris tigris) in Valmiki Tiger Reserve, India, using MaxEnt model and Least-cost modeling approach. Environmental Modeling & Assessment, 29(2), 405-422. Springer Impact Factor: 2.7, Science Citation Index Expanded, Scopus

12.  Roshani, Sajjad, H., Saha, T. K., Rahaman, M. H., Masroor, M., Sharma, Y., & Pal, S. (2023). Analyzing trend and forecast of rainfall and temperature in Valmiki Tiger Reserve, India, using non-parametric test and random forest machine learning algorithm. Acta Geophysica, 71(1), 531-552. Springer Impact Factor: 2.0, Science Citation Index Expanded, Scopus

13.  Roshani, Rahaman, H., Masroor, Rehman, S., & Sajjad, H. (2022). Indicator-based inherent forest vulnerability using multicriteria decision-making analysis in the Darjeeling District of West Bengal. In Towards Sustainable Natural Resources: Monitoring and Managing Ecosystem Biodiversity (pp. 51-67). Cham: Springer International Publishing.

14.  Rahaman, M. H., Masroor, M., & Sajjad, H. (2023). Integrating remote sensing derived indices and machine learning algorithms for precise extraction of small surface water bodies in the lower Thoubal river watershed, India. Journal of Cleaner Production, 422, 138563.http://dx.doi.org/10.1016/j.jclepro.2023.138563, Elsevier Impact Factor: 10.7, Emerging Sources Citation Index, Scopus

15.  Rahaman, M. H., Sajjad, H., Hussain, S., Masroor, M., & Sharma, A. (2024). Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis. Journal of Environmental Chemical Engineering, 12(3), 112915. Elsevier Impact Factor: 7.5, Scopus

16.  Bhuyan, N., Sajjad, H., Saha, T. K., Sharma, Y., Masroor, M., Rahaman, M. H., & Ahmed, R. (2024). Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms. Catena, 234, 107581. Elsevier Impact Factor: 5.4, Emerging Sources Citation Index, Scopus

17.  Sahana, M., Areendran, G., Sivadas, A., Masroor, M., Abhijita, C. S., Raj, K., ... & Imdad, K. (2025). A mixed‐methods approach for identifying high conservation value areas in the high‐altitude landscapes of the Indian Himalayan region. Geo: Geography and Environment, 12(1), e70002. Impact Factor: 1.7, Emerging Sources Citation Index (Clarivate Analytics), SCOPUS (Elsevier), Web of Science (Clarivate Analytics)

18.  Rahaman, M. H., Saha, T. K., Masroor, M., Roshani, & Sajjad, H. (2023). Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models. Modeling Earth Systems and Environment, 1-27. Impact Factor: 2.7, Emerging Sources Citation Index, Scopus

19.  Rehman, S., Sajjad, H., Masroor, M., Rahaman, M. H., Ahmed, R., & Sahana, M. (2022). Assessment of evidence-based climate variability in Bhagirathi sub-basin of India: a geostatistical analysis. Acta Geophysica, 1-19. https://doi.org/10.1007/s11600-022-00726-6. Springer Impact Factor: 2.0, Science Citation Index Expanded, Scopus

20.  Rahaman, M., Masroor, M., Rehman, S. et al. State of Art of Review on Climate Variability and Water Resources: Bridging Knowledge Gaps and the Way Forward. Water Resour 49, 699–710 (2022). https://doi.org/10.1134/S009780782204016. Springer Impact Factor: 0.9, Emerging Sources Citation Index, Scopus

21.  Rehman, S., Rahaman, M. H., Masroor, M., Roshani, Sajjad, H., Ahmed, R., ... & Sahana, M. (2023). Analyzing vulnerability of communities to flood using composite vulnerability index: evidence from Bhagirathi Sub-basin, India. Natural Hazards, 119(3), 1341-1377.http://dx.doi.org/10.1007/s11069-023-06170-z Springer Impact Factor: 3.3, Science Citation Index Expanded, Scopus

22.  Kulimushi, L. C., Bigabwa, J. B., Choudhari, P., Masroor, M., & Sajjad, H. (2021). Novel combination of analytical hierarchy process and weighted sum analysis for watersheds prioritization. A study of Ulindi catchment, Congo River Basin. Geocarto International, 1-37. https://doi.org/10.1080/10106049.2021.2002426. Taylor & Francis Impact Factor: 3.3, Science Citation Index Expanded, Web of Science, Scopus.

23.  Sahana, M., Patel, P. P., Rehman, S., Rahaman, H., Masroor, M., Imdad, K., & Sajjad, H. (2023). Assessing the effectiveness of existing early warning systems and emergency preparedness towards reducing cyclone-induced losses in the Sundarban Biosphere Region, India. International Journal of Disaster Risk Reduction, 103645. Elsevier Impact Factor: 4.2, Science Citation Index Expanded, Scopus

24.  Pham, Binh Thai, Abolfazl Jaafari, Trung Nguyen-Thoi, Tran Van Phong, Huu Duy Nguyen, Neelima Satyam, Md Masroor et al. "Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides." International Journal of Digital Earth (2020): 1-22. https://doi.org/10.1080/17538947.2020.1860145 Springer Impact Factor: 3.7, Science Citation Index Expanded, Scopus

25.  Ali, R., Sajjad, H., Saha, T. K., Rahaman, M. H., Masroor, M., Roshani, & Sharma, A. (2025). Assessment of climate change in Upper Jhelum Sub-catchment, India, using nonparametric methods and random forest model. Acta Geophysica, 73(3), 2987-3006. Springer Impact Factor: 2.0, Science Citation Index Expanded, Scopus

26.  Sharma, A., Sajjad, H., Saha, T. K., Masroor, M., Sharma, Y., & Kumari, G. (2024). Analyzing trend and forecasting of temperature and rainfall in Shimla district of Himachal Pradesh, India using non-parametric and bagging REPTree machine learning approaches. Journal of Atmospheric and Solar-Terrestrial Physics, 265, 106352. Elsevier Impact Factor: 2.0, Science Citation Index Expanded, Scopus

27.  Ali, R., Sajjad, H., Masroor, M., Saha, T. K., Roshani, & Rahaman, M. H. (2024). Morphometric parameters based prioritization of watersheds for soil erosion risk in Upper Jhelum Sub-catchment, India. Environmental Monitoring and Assessment, 196(1), 82. Springer, Impact Factor: 2.9, Emerging Sources Citation Index, Scopus

28.  Ali, R., Sajjad, H., Saha, T. K., Roshani, Masroor, M., & Rahaman, M. H. (2024). Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India. Acta Geophysica, 72(4), 2843-2856. Springer Impact Factor: 2.0, Science Citation Index Expanded, Scopus

29.  Kumari, G., Sajjad, H., Rahaman, M. H., Masroor, M., Roshani, Ahmed, R., & Sahana, M. (2023). Climate variability induced livelihood vulnerability: A systematic review and future prospects. Area, 55(1), 116-124. Royal Geographical Society, Wiley Blackwell Impact Factor: 1.6, Social Science Citation Index, Scopus

30.  Kulimushi, L. C., Bashagaluke, J. B., Prasad, P., Heri-Kazi, A. B., Kushwaha, N. L., Masroor, M. D., ... & Mohammed, S. (2023). Soil erosion susceptibility mapping using ensemble machine learning models: A case study of upper Congo river sub-basin. Catena, 222, 106858. Elsevier Impact Factor: 5.4, Emerging Sources Citation Index, Scopus

31.  Roshani, Sajjad, H., Kumar, P., Masroor, M., Rahaman, M. H., Rehman, S., ... & Sahana, M. (2022). Forest vulnerability to climate change: A review for future research framework. Forests, 13(6), 917. Impact Factor: 2.4, Web of Science, Science Citation Index Expanded, Scopus

32.  Rahaman, M. H., Sajjad, H., Roshani, Masroor, M., Bhuyan, N., & Rehman, S. (2022). Delineating groundwater potential zones using geospatial techniques and fuzzy analytical hierarchy process (FAHP) ensemble in the data-scarce region: evidence from the lower Thoubal river watershed of Manipur, India. Arabian Journal of Geosciences, 15(8), 677.

33.  Mandal, V. P., Rehman, S., Ahmed, R., Masroor, M. D., Kumar, P., & Sajjad, H. (2020). Land suitability assessment for optimal cropping sequences in Katihar district of Bihar, India using GIS and AHP. Spatial Information Research, 28, 589-599. Springer Impact Factor: 2.0, Emerging Sources Citation Index, Scopus

34.  Mandal, V. P., Ahmad, R., Rehman, S., Masroor, M., & Sajjad, H. (2019). Exploring optimal cereal crop sequence using cultivated land utilization index and yield in Katihar district, India: a sub division level analysis. Asian Journal of Agriculture and Rural Development, 9(1), 62-81. AESS Publications., Scopus

35.  Ali, R., Sajjad, H., Rahaman, M. H., Saha, T. K., Masroor, M., Roshani, & Sharma, A. (2025). A systematic review on climate change-induced flood susceptibility, vulnerability and risk: future research perspective. Environmental monitoring and assessment, 197(10), 1127. Springer Impact Factor: 3.6, Emerging Sources Citation Index, Scopus

36.  Sharma, A., Sajjad, H., Rahaman, M. H., Saha, T. K., Bhuyan, N., Masroor, M., & Ganaie, D. B. (2025). Landslide risk using Geospatial techniques and machine learning: Shimla district of Himachal Pradesh, India. Environmental earth sciences, 84(18), 510. Springer Impact Factor: 3.3, Emerging Sources Citation Index, Scopus

37.  Ganaie, D. B., Sajjad, H., Ali, R., Sharma, A., Rahaman, M. H., & Masroor, M. (2025). Climate change induced storm surge flood: A systematic review for future research progression. Regional Studies in Marine Science, 104374. Elsevier Impact Factor: 2.7, Emerging Sources Citation Index, Scopus

38.  Kumari, G., Sajjad, H., Saha, T. K., Sharma, A., Ali, R., Masroor, M., ... & Avtar, R. (2026). Analyzing Climate Variability Using Non-Parametric and Machine Learning Approaches: Empirical Evidence from Dimapur District of Nagaland, India: G. Kumari et al. Pure and Applied Geophysics, 183(5), 2465-2490. Springer Impact Factor: 2.1, Emerging Sources Citation Index, Scopus

39.  Ganaie, D. B., Sajjad, H., Iqbal, M., Rahaman, M. H., Ali, R., & Masroor, M. (2026). Long-term trend analysis and seasonal forecasting of temperature and rainfall in Sundarban Biosphere Reserve, India using non-parametric and hybrid deep learning approaches. Meteorology and Atmospheric Physics, 138(5), 94. Springer Impact Factor: 2.0, Emerging Sources Citation Index, Scopus

40.  Kumari, G., Sajjad, H., Saha, T. K., Sharma, A., Ali, R., Masroor, M., ... & Avtar, R. (2026). Analyzing Climate Variability Using Non-Parametric and Machine Learning Approaches: Empirical Evidence from Dimapur District of Nagaland, India: G. Kumari et al. Pure and Applied Geophysics, 183(5), 2465-2490. Springer Impact Factor: 2.1, Emerging Sources Citation Index, Scopus