Kousik Das

662 total citations
16 papers, 396 citations indexed

About

Kousik Das is a scholar working on Environmental Engineering, Soil Science and Global and Planetary Change. According to data from OpenAlex, Kousik Das has authored 16 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 8 papers in Soil Science and 7 papers in Global and Planetary Change. Recurrent topics in Kousik Das's work include Soil erosion and sediment transport (8 papers), Groundwater and Watershed Analysis (7 papers) and Hydrology and Watershed Management Studies (6 papers). Kousik Das is often cited by papers focused on Soil erosion and sediment transport (8 papers), Groundwater and Watershed Analysis (7 papers) and Hydrology and Watershed Management Studies (6 papers). Kousik Das collaborates with scholars based in India and Cameroon. Kousik Das's co-authors include Nilanjana Das Chatterjee, Raj Kumar Bhattacharya, Santanu Dinda, Subrata Ghosh, Prasenjit Acharya and Debarati Jana and has published in prestigious journals such as The Science of The Total Environment, Journal of Environmental Management and Environmental Science and Pollution Research.

In The Last Decade

Kousik Das

16 papers receiving 388 citations

Peers

Kousik Das

GPC

WST

ECOLO

Raj Kumar Bhattacharya India

Minučer Mesaroš Serbia

Ratko Ristić Serbia

Vitor Matheus Bacani Brazil

Yuewei Duan China

Bojie Fu China

Gour Dolui India

Hongwei Wu China

Shuangyun Peng China

M. M. Singh India

Raj Kumar Bhattacharya India

Kousik Das

150 ×0.8

GPC

162 ×0.9

172 ×1.0

WST

149 ×1.2

95 ×1.1

ECOLO

Citations per year, relative to Kousik Das Kousik Das (= 1×) peers Raj Kumar Bhattacharya

Countries citing papers authored by Kousik Das

Since Specialization

Citations

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

Fields of papers citing papers by Kousik Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kousik Das

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

All Works

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16 of 16 papers shown

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2024). Linkages between gully erosion susceptibility and hydrological connectivity in Tropical sub-humid river basin: Application of Machine learning algorithms and Connectivity Index. CATENA. 243. 108186–108186. 4 indexed citations

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2024). Modelling of soil erosion susceptibility incorporating sediment connectivity and export at landscape scale using integrated machine learning, InVEST-SDR and Fragstats. Journal of Environmental Management. 353. 120164–120164. 13 indexed citations

Das, Kousik, Nilanjana Das Chatterjee, Debarati Jana, & Raj Kumar Bhattacharya. (2023). Application of land-use regression model with regularization algorithm to assess PM2.5 and PM10 concentration and health risk in Kolkata Metropolitan. Urban Climate. 49. 101473–101473. 14 indexed citations

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2022). Multifunctional resilience of river health to human service demand in an alluvial quarried reach: a comparison amongst fuzzy logic, entropy, and AHP-based MCDM models. Environmental Science and Pollution Research. 29(56). 84137–84165. 9 indexed citations

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2022). Channel instability and hydrogeomorphic adjustment in alluvial reach of Kangsabati River, India using Digital Shoreline Analysis System and Acoustic Doppler Current Profiler. Geocarto International. 37(27). 16232–16260. 6 indexed citations

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, Prasenjit Acharya, & Kousik Das. (2021). Morphometric analysis to characterize the soil erosion susceptibility in the western part of lower Gangetic River basin, India. Arabian Journal of Geosciences. 14(6). 26 indexed citations

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2020). Sub-basin prioritization for assessment of soil erosion susceptibility in Kangsabati, a plateau basin: A comparison between MCDM and SWAT models. The Science of The Total Environment. 734. 139474–139474. 97 indexed citations

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2020). Land use and Land Cover change and its resultant erosion susceptible level: an appraisal using RUSLE and Logistic Regression in a tropical plateau basin of West Bengal, India. Environment Development and Sustainability. 23(2). 1411–1446. 55 indexed citations

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2020). An integrated GIS approach to analyze the impact of land use change and land cover alteration on ground water potential level: A study in Kangsabati Basin, India. Groundwater for Sustainable Development. 11. 100399–100399. 41 indexed citations

10.

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2019). Geomorphic response to riverine land cover dynamics in a quarried alluvial river Kangsabati, South Bengal, India. Environmental Earth Sciences. 78(22). 12 indexed citations

11.

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2019). Multi-criteria-based sub-basin prioritization and its risk assessment of erosion susceptibility in Kansai–Kumari catchment area, India. Applied Water Science. 9(4). 29 indexed citations

12.

Das, Kousik, et al.. (2019). Analysis of eve-teasing potential zones using geospatial technologies and AHP: a study in Midnapore town, West Bengal, India. GeoJournal. 86(3). 1043–1072. 4 indexed citations

13.

Bhattacharya, Raj Kumar, Nilanjana Das Chatterjee, & Kousik Das. (2019). Impact of instream sand mining on habitat destruction or transformation using coupling models of HSI and MLR. Spatial Information Research. 28(1). 67–85. 6 indexed citations

14.

Ghosh, Subrata, et al.. (2018). The spatial clustering of dengue disease and risk susceptibility mapping: an approach towards sustainable health management in Kharagpur city, India. Spatial Information Research. 27(2). 187–204. 10 indexed citations

15.

Ghosh, Subrata, Santanu Dinda, Nilanjana Das Chatterjee, & Kousik Das. (2018). Analyzing risk factors for shrinkage and transformation of East Kolkata Wetland, India. Spatial Information Research. 26(6). 661–677. 30 indexed citations

16.

Dinda, Santanu, Kousik Das, Nilanjana Das Chatterjee, & Subrata Ghosh. (2018). Integration of GIS and statistical approach in mapping of urban sprawl and predicting future growth in Midnapore town, India. Modeling Earth Systems and Environment. 5(1). 331–352. 40 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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