Sunil Saha

5.0k total citations
90 papers, 3.7k citations indexed

About

Sunil Saha is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Environmental Engineering. According to data from OpenAlex, Sunil Saha has authored 90 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Global and Planetary Change, 41 papers in Management, Monitoring, Policy and Law and 32 papers in Environmental Engineering. Recurrent topics in Sunil Saha's work include Flood Risk Assessment and Management (49 papers), Landslides and related hazards (33 papers) and Soil erosion and sediment transport (22 papers). Sunil Saha is often cited by papers focused on Flood Risk Assessment and Management (49 papers), Landslides and related hazards (33 papers) and Soil erosion and sediment transport (22 papers). Sunil Saha collaborates with scholars based in India, Australia and Iran. Sunil Saha's co-authors include Jagabandhu Roy, Tusar Kanti Hembram, Alireza Arabameri, Amiya Gayen, Gopal Chandra Paul, Anik Saha, Biswajeet Pradhan, Dieu Tien Bui, Thomas Blaschke and Hamid Reza Pourghasemi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Sunil Saha

88 papers receiving 3.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sunil Saha India	37	2.3k	1.6k	1.1k	842	671	90	3.7k
Christian Conoscenti Italy	31	1.7k 0.7×	1.4k 0.9×	801 0.7×	1.4k 1.6×	610 0.9×	60	3.1k
Mehebub Sahana India	37	2.8k 1.2×	1.4k 0.9×	943 0.8×	435 0.5×	662 1.0×	84	4.5k
Rabin Chakrabortty India	40	2.6k 1.1×	946 0.6×	1.5k 1.3×	1.1k 1.3×	1.6k 2.3×	112	4.3k
Luigi Lombardo Netherlands	36	1.9k 0.8×	2.4k 1.5×	713 0.6×	736 0.9×	390 0.6×	116	3.7k
Indrajit Chowdhuri India	37	2.0k 0.9×	781 0.5×	1.1k 1.0×	594 0.7×	1.2k 1.8×	80	3.4k
Alireza Arabameri Iran	50	3.6k 1.6×	1.8k 1.1×	2.1k 1.9×	1.6k 1.9×	1.8k 2.6×	111	5.7k
Fatemeh Rezaie South Korea	29	1.7k 0.7×	1.1k 0.7×	1.0k 0.9×	289 0.3×	775 1.2×	64	3.2k
Øystein B. Dick Norway	15	1.3k 0.6×	1.3k 0.8×	688 0.6×	397 0.5×	249 0.4×	22	2.5k
Seyed Amir Naghibi Iran	30	2.7k 1.2×	1.1k 0.7×	2.5k 2.2×	349 0.4×	1.7k 2.6×	48	4.6k
Abolfazl Jaafari Iran	43	3.6k 1.6×	2.3k 1.5×	1.3k 1.1×	325 0.4×	955 1.4×	89	5.4k

Countries citing papers authored by Sunil Saha

Since Specialization

Citations

This map shows the geographic impact of Sunil Saha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sunil Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Saha more than expected).

Fields of papers citing papers by Sunil Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Saha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sunil Saha. The network helps show where Sunil Saha may publish in the future.

Co-authorship network of co-authors of Sunil Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Saha. A scholar is included among the top collaborators of Sunil Saha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunil Saha. Sunil Saha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Das, Arijit, Suman Singha, Raju Sarkar, Sunil Saha, & Manob Das. (2025). Unveiling the spatial heterogeneity of urban heat island pattern in mining cities (India). Advances in Space Research. 76(9). 4906–4924.

Sarkar, Raju, et al.. (2023). Preparing coastal erosion vulnerability index applying deep learning techniques in Odisha state of India. International Journal of Disaster Risk Reduction. 96. 103986–103986. 8 indexed citations

Danumah, Jean Homian, Sunil Saha, K.S. Sajinkumar, et al.. (2023). Vulnerability evaluation utilizing AHP and an ensemble model in a few landslide-prone areas of the Western Ghats, India. Environment Development and Sustainability. 27(3). 6423–6466. 18 indexed citations

Balaji, S., Jean Homian Danumah, Romulus Costache, et al.. (2023). Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps. Land. 12(2). 468–468. 44 indexed citations

Ajin, R. S., Jean Homian Danumah, Sunil Saha, et al.. (2023). Wildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models. Fire. 6(2). 44–44. 38 indexed citations

Paul, Gopal Chandra & Sunil Saha. (2023). Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India. Environmental Science and Pollution Research. 31(41). 54295–54310. 3 indexed citations

Danumah, Jean Homian, et al.. (2023). Prediction capability of the MCDA-AHP model in wildfire risk zonation of a protected area in the Southern Western Ghats. Environmental Sustainability. 6(1). 59–72. 16 indexed citations

Saha, Sunil, et al.. (2023). Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models. Stochastic Environmental Research and Risk Assessment. 37(7). 2513–2540. 14 indexed citations

Das, Raju J & Sunil Saha. (2022). Spatial mapping of groundwater potentiality applying ensemble of computational intelligence and machine learning approaches. Groundwater for Sustainable Development. 18. 100778–100778. 18 indexed citations

10.

Saha, Sunil, Jagabandhu Roy, Tusar Kanti Hembram, et al.. (2021). Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping. Water. 13(19). 2664–2664. 29 indexed citations

11.

Band, Shahab S., Saeid Janizadeh, Sunil Saha, et al.. (2020). Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data. Land. 9(10). 346–346. 13 indexed citations

12.

Ghosh, Sasanka, Arijit Das, Tusar Kanti Hembram, et al.. (2020). Impact of COVID-19 Induced Lockdown on Environmental Quality in Four Indian Megacities Using Landsat 8 OLI and TIRS-Derived Data and Mamdani Fuzzy Logic Modelling Approach. Sustainability. 12(13). 5464–5464. 57 indexed citations

13.

Saha, Sunil, Anik Saha, Tusar Kanti Hembram, Biswajeet Pradhan, & Abdullah Alamri. (2020). Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya. Applied Sciences. 10(11). 3772–3772. 63 indexed citations

14.

Arabameri, Alireza, Sunil Saha, Kaustuv Mukherjee, et al.. (2020). Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran. Remote Sensing. 12(20). 3423–3423. 60 indexed citations

15.

Arabameri, Alireza, Sunil Saha, Jagabandhu Roy, et al.. (2020). A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility. The Science of The Total Environment. 726. 138595–138595. 90 indexed citations

16.

Das, Manob, Arijit Das, Raju Sarkar, Sunil Saha, & Ashis Kumar Mandal. (2020). Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India. Stochastic Environmental Research and Risk Assessment. 35(6). 1301–1317. 19 indexed citations

17.

Gayen, Amiya, Sunil Saha, & Hamid Reza Pourghasemi. (2019). Soil erosion assessment using RUSLE model and its validation by FR probability model. Geocarto International. 35(15). 1750–1768. 64 indexed citations

18.

Hembram, Tusar Kanti, Gopal Chandra Paul, & Sunil Saha. (2019). Comparative Analysis between Morphometry and Geo-Environmental Factor Based Soil Erosion Risk Assessment Using Weight of Evidence Model: a Study on Jainti River Basin, Eastern India. Environmental Processes. 6(4). 883–913. 32 indexed citations

19.

Gayen, Amiya, Hamid Reza Pourghasemi, Sunil Saha, Saskia Keesstra, & Shibiao Bai. (2019). Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms. The Science of The Total Environment. 668. 124–138. 220 indexed citations

20.

Pasupuleti, Srinivas, et al.. (2018). Delineation of groundwater potential zones utilising geospatial techniques in Kadiri watershed of Anantapur district, Andhra Pradesh, India. Journal of Environmental Biology. 40(1). 61–68. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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