Ashvin K. Gosain

654 total citations
9 papers, 513 citations indexed

About

Ashvin K. Gosain is a scholar working on Water Science and Technology, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Ashvin K. Gosain has authored 9 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Water Science and Technology, 6 papers in Ocean Engineering and 5 papers in Global and Planetary Change. Recurrent topics in Ashvin K. Gosain's work include Hydrology and Watershed Management Studies (7 papers), Water resources management and optimization (6 papers) and Flood Risk Assessment and Management (3 papers). Ashvin K. Gosain is often cited by papers focused on Hydrology and Watershed Management Studies (7 papers), Water resources management and optimization (6 papers) and Flood Risk Assessment and Management (3 papers). Ashvin K. Gosain collaborates with scholars based in India, United Kingdom and Netherlands. Ashvin K. Gosain's co-authors include Boini Narsimlu, B. R. Chahar, Prashant K. Srivastava, Sudhir Kumar Singh, Andy Wiltshire, Eddy Moors, Markus Stoffel, Christian Huggel, Jeff Ridley and Daniela Jacob and has published in prestigious journals such as Environmental Science & Policy, Water Resources Management and Environment Development and Sustainability.

In The Last Decade

Ashvin K. Gosain

9 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashvin K. Gosain India 6 399 321 162 96 85 9 513
Sirak Tekleab Ethiopia 11 440 1.1× 417 1.3× 174 1.1× 82 0.9× 111 1.3× 31 606
Francis Mutua Kenya 7 365 0.9× 355 1.1× 89 0.5× 67 0.7× 71 0.8× 23 499
Simone Giertz Germany 11 365 0.9× 286 0.9× 97 0.6× 101 1.1× 147 1.7× 15 535
Yali E. Woyessa South Africa 13 271 0.7× 300 0.9× 117 0.7× 59 0.6× 82 1.0× 39 461
Jon Franczyk United States 5 277 0.7× 298 0.9× 99 0.6× 64 0.7× 36 0.4× 8 418
Deogratias M. M. Mulungu Tanzania 13 264 0.7× 259 0.8× 111 0.7× 67 0.7× 47 0.6× 37 401
J. E. Paturel France 13 308 0.8× 304 0.9× 85 0.5× 68 0.7× 58 0.7× 27 433
Woonsup Choi United States 14 372 0.9× 405 1.3× 183 1.1× 43 0.4× 46 0.5× 35 559
Tatenda Lemann Switzerland 10 243 0.6× 221 0.7× 80 0.5× 51 0.5× 144 1.7× 16 400
Anju Gaur United States 12 231 0.6× 226 0.7× 128 0.8× 144 1.5× 91 1.1× 21 477

Countries citing papers authored by Ashvin K. Gosain

Since Specialization
Citations

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

Fields of papers citing papers by Ashvin K. Gosain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashvin K. Gosain. 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 Ashvin K. Gosain. The network helps show where Ashvin K. Gosain may publish in the future.

Co-authorship network of co-authors of Ashvin K. Gosain

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

All Works

9 of 9 papers shown
1.
Narsimlu, Boini, Ashvin K. Gosain, B. R. Chahar, Sudhir Kumar Singh, & Prashant K. Srivastava. (2015). SWAT Model Calibration and Uncertainty Analysis for Streamflow Prediction in the Kunwari River Basin, India, Using Sequential Uncertainty Fitting. Environmental Processes. 2(1). 79–95. 167 indexed citations
2.
Narsimlu, Boini, Ashvin K. Gosain, & B. R. Chahar. (2013). Assessment of Future Climate Change Impacts on Water Resources of Upper Sind River Basin, India Using SWAT Model. Water Resources Management. 27(10). 3647–3662. 150 indexed citations
3.
Pande, Saket, H. H. G. Savenije, L. A. Bastidas, & Ashvin K. Gosain. (2011). A Parsimonious Hydrological Model for a Data Scarce Dryland Region. Water Resources Management. 26(4). 909–926. 23 indexed citations
4.
Moors, Eddy, Annemarie Groot, Hester Biemans, et al.. (2011). Adaptation to changing water resources in the Ganges basin, northern India. Environmental Science & Policy. 14(7). 758–769. 116 indexed citations
5.
Gosain, Ashvin K., et al.. (2008). Impact of watershed management on livelihoods: Quantification and Assessment. AgEcon Search (University of Minnesota, USA). 8. 1–7. 5 indexed citations
6.
Gosain, Ashvin K., et al.. (2007). Externalities in watershed management. IAHS-AISH publication. 56–61. 1 indexed citations
7.
Calder, Ian R., et al.. (2007). Watershed development in India. 1. Biophysical and societal impacts. Environment Development and Sustainability. 10(4). 537–557. 31 indexed citations
8.
Calder, Ian R., et al.. (2007). Watershed development in India. 2. New approaches for managing externalities and meeting sustainability requirements. Environment Development and Sustainability. 10(4). 427–440. 18 indexed citations
9.
Singh, Abhinav, et al.. (2004). Resolving conflicts over transboundary watercourses: an Indian perspective. AgEcon Search (University of Minnesota, USA). 4. 1–5. 2 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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