Prolay Mondal

1.3k total citations
33 papers, 909 citations indexed

About

Prolay Mondal is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Prolay Mondal has authored 33 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 18 papers in Global and Planetary Change and 17 papers in Water Science and Technology. Recurrent topics in Prolay Mondal's work include Groundwater and Watershed Analysis (18 papers), Hydrology and Watershed Management Studies (14 papers) and Flood Risk Assessment and Management (13 papers). Prolay Mondal is often cited by papers focused on Groundwater and Watershed Analysis (18 papers), Hydrology and Watershed Management Studies (14 papers) and Flood Risk Assessment and Management (13 papers). Prolay Mondal collaborates with scholars based in India, Australia and South Korea. Prolay Mondal's co-authors include Debabrata Sarkar, Subhasish Sutradhar, Niladri Das, Ranajit Ghosh, Rabin Chakrabortty, Subodh Chandra Pal, Biswajeet Pradhan, Sunil Saha, Manisa Shit and Sadikul Islam and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Science and Technology and Applied Water Science.

In The Last Decade

Prolay Mondal

31 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prolay Mondal India 16 566 469 359 148 104 33 909
Habib Abida Tunisia 21 497 0.9× 396 0.8× 402 1.1× 69 0.5× 125 1.2× 73 1.1k
Friday Uchenna Ochege China 16 428 0.8× 226 0.5× 321 0.9× 116 0.8× 159 1.5× 44 871
Shereif H. Mahmoud Saudi Arabia 19 926 1.6× 614 1.3× 562 1.6× 142 1.0× 114 1.1× 31 1.3k
Balamurugan Guru India 18 457 0.8× 322 0.7× 258 0.7× 218 1.5× 73 0.7× 37 923
M. Rajasekhar India 20 791 1.4× 698 1.5× 412 1.1× 175 1.2× 315 3.0× 59 1.4k
R. K. Jaiswal India 14 612 1.1× 381 0.8× 498 1.4× 62 0.4× 196 1.9× 49 1.1k
Tesfa Gebrie Andualem Ethiopia 18 640 1.1× 671 1.4× 506 1.4× 155 1.0× 58 0.6× 47 1.1k
Ali Essahlaoui Morocco 19 555 1.0× 466 1.0× 345 1.0× 172 1.2× 67 0.6× 77 1.2k
Dhruvesh Patel India 17 770 1.4× 598 1.3× 686 1.9× 102 0.7× 141 1.4× 62 1.2k

Countries citing papers authored by Prolay Mondal

Since Specialization
Citations

This map shows the geographic impact of Prolay Mondal'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 Prolay Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prolay Mondal more than expected).

Fields of papers citing papers by Prolay Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prolay Mondal. 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 Prolay Mondal. The network helps show where Prolay Mondal may publish in the future.

Co-authorship network of co-authors of Prolay Mondal

This figure shows the co-authorship network connecting the top 25 collaborators of Prolay Mondal. A scholar is included among the top collaborators of Prolay Mondal 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 Prolay Mondal. Prolay Mondal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Sarkar, Debabrata, et al.. (2024). Application of Machine Learning Algorithms for Soil Erosion Susceptibility Estimation in Gumani River Basin, Eastern India. Journal of the Geological Society of India. 100(3). 320–334. 4 indexed citations
4.
Ghosh, Ranajit, et al.. (2023). A comparative evaluation of GIS based flood susceptibility models: a case of Kopai river basin, Eastern India. Arabian Journal of Geosciences. 16(11). 7 indexed citations
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Sarkar, Debabrata, et al.. (2023). Delineation of Flood Susceptibility Zone Using Analytical Hierarchy Process and Frequency Ratio Methods: A Case Study of Dakshin Dinajpur District, India. Journal of the Indian Society of Remote Sensing. 51(12). 2447–2465. 7 indexed citations
8.
Mondal, Prolay, et al.. (2023). GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India. SHILAP Revista de lepidopterología. 3(3). 420–436. 48 indexed citations
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Sutradhar, Subhasish & Prolay Mondal. (2022). Prioritization of watersheds based on morphometric assessment in relation to flood management: A case study of Ajay river basin, Eastern India. SHILAP Revista de lepidopterología. 5. 1–11. 31 indexed citations
11.
Mondal, Prolay, et al.. (2022). Assessing and mapping soil erosion risk zone in Ratlam District, central India. SHILAP Revista de lepidopterología. 3(4). 373–390. 8 indexed citations
12.
Das, Niladri, Subhasish Sutradhar, Ranajit Ghosh, & Prolay Mondal. (2021). Asymmetric nexus between air quality index and nationwide lockdown for COVID-19 pandemic in a part of Kolkata metropolitan, India. Urban Climate. 36. 100789–100789. 14 indexed citations
13.
Sarkar, Debabrata, et al.. (2021). GIS-based frequency ratio and Shannon's entropy techniques for flood vulnerability assessment in Patna district, Central Bihar, India. International Journal of Environmental Science and Technology. 19(9). 8911–8932. 52 indexed citations
14.
Sutradhar, Subhasish, Prolay Mondal, & Niladri Das. (2021). Delineation of groundwater potential zones using MIF and AHP models: A micro-level study on Suri Sadar Sub-Division, Birbhum District, West Bengal, India. Groundwater for Sustainable Development. 12. 100547–100547. 49 indexed citations
15.
Das, Niladri, Prolay Mondal, Subhasish Sutradhar, & Ranajit Ghosh. (2020). Assessment of variation of land use/land cover and its impact on land surface temperature of Asansol subdivision. The Egyptian Journal of Remote Sensing and Space Science. 24(1). 131–149. 95 indexed citations
16.
Saha, Sunil, et al.. (2020). GIS and multi-criteria decision-making assessment of sites suitability for agriculture in an anabranching site of sooin river, India. Modeling Earth Systems and Environment. 7(1). 571–588. 38 indexed citations
17.
Chakrabortty, Rabin, Biswajeet Pradhan, Prolay Mondal, & Subodh Chandra Pal. (2020). The use of RUSLE and GCMs to predict potential soil erosion associated with climate change in a monsoon-dominated region of eastern India. Arabian Journal of Geosciences. 13(20). 59 indexed citations
18.
Ghosh, Ranajit, Subhasish Sutradhar, Prolay Mondal, & Niladri Das. (2020). Application of DRASTIC model for assessing groundwater vulnerability: a study on Birbhum district, West Bengal, India. Modeling Earth Systems and Environment. 7(2). 1225–1239. 31 indexed citations
19.
Das, Niladri, Prolay Mondal, Ranajit Ghosh, & Subhasish Sutradhar. (2019). Groundwater quality assessment using multivariate statistical technique and hydro-chemical facies in Birbhum District, West Bengal, India. SN Applied Sciences. 1(8). 33 indexed citations
20.
Mondal, Prolay & Manisa Shit. (2018). Socio-Economic Status of Dokra Artisans in Bankura-II C.D. Block, Bankura District, West Bengal. Asian Journal of Research in Social Sciences and Humanities. 8(6). 200–200. 3 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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