Rajeev Sahay

25 papers and 372 indexed citations i.

About

Rajeev Sahay is a scholar working on Artificial Intelligence, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Rajeev Sahay has authored 25 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Water Science and Technology and 7 papers in Environmental Engineering. Recurrent topics in Rajeev Sahay’s work include Hydrology and Watershed Management Studies (8 papers), Adversarial Robustness in Machine Learning (7 papers) and Hydrological Forecasting Using AI (7 papers). Rajeev Sahay is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Adversarial Robustness in Machine Learning (7 papers) and Hydrological Forecasting Using AI (7 papers). Rajeev Sahay collaborates with scholars based in United States, India and Italy. Rajeev Sahay's co-authors include Som Dutta, Vinit Sehgal, Chandranath Chatterjee, Christopher G. Brinton, David J. Love, Aly El Gamal, Minjun Zhang, Joel B. Harley, Sungwon Kim and Daniel O. Adams and has published in prestigious journals such as IEEE Access, IEEE/ACM Transactions on Networking and IEEE Sensors Journal.

In The Last Decade

Co-authorship network of co-authors of Rajeev Sahay i

Fields of papers citing papers by Rajeev Sahay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rajeev Sahay

Since Specialization
Citations

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

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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2025