Rajeev Sahay

60 total papers · 546 total citations
26 papers, 407 citations indexed

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 26 papers receiving a total of 407 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), Hydrological Forecasting Using AI (7 papers) and Adversarial Robustness in Machine Learning (6 papers). Rajeev Sahay is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Hydrological Forecasting Using AI (7 papers) and Adversarial Robustness in Machine Learning (6 papers). Rajeev Sahay collaborates with scholars based in United States, India and Canada. Rajeev Sahay's co-authors include Som Dutta, Vinit Sehgal, Christopher G. Brinton, Chandranath Chatterjee, David J. Love, Minjun Zhang, Daniel O. Adams, Joel B. Harley, Sungwon Kim and Seyyedali Hosseinalipour and has published in prestigious journals such as IEEE Access, IEEE/ACM Transactions on Networking and IEEE Sensors Journal.

In The Last Decade

Rajeev Sahay

25 papers receiving 397 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rajeev Sahay	244	203	98	98	60	26	407
Bahrudin Hrnjica	285 1.2×	226 1.1×	80 0.8×	164 1.7×	53 0.9×	15	455
Jean-Baptiste Aubin	156 0.6×	135 0.7×	34 0.3×	53 0.5×	23 0.4×	19	444
Anne Johannet	267 1.1×	205 1.0×	48 0.5×	169 1.7×	22 0.4×	43	421
Nathaniel Karst	87 0.4×	196 1.0×	25 0.3×	158 1.6×	61 1.0×	32	408
Yusuf Essam	183 0.8×	145 0.7×	92 0.9×	75 0.8×	72 1.2×	10	376
Kichul Jung	116 0.5×	204 1.0×	19 0.2×	166 1.7×	67 1.1×	39	439
Jihoon Shin	149 0.6×	179 0.9×	71 0.7×	55 0.6×	22 0.4×	34	474
Kadri Yürekli	179 0.7×	176 0.9×	39 0.4×	189 1.9×	67 1.1×	33	398
Fazlı Öztürk	217 0.9×	207 1.0×	36 0.4×	187 1.9×	51 0.8×	20	421
Cihan Mert	189 0.8×	90 0.4×	117 1.2×	91 0.9×	82 1.4×	14	425

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).

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.

Co-authorship network of co-authors of Rajeev Sahay

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

All Works

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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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