Sanjeev Jha

160 total papers · 3.8k total citations
94 papers, 2.6k citations indexed

About

Sanjeev Jha is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Sanjeev Jha has authored 94 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 20 papers in Water Science and Technology and 19 papers in Atmospheric Science. Recurrent topics in Sanjeev Jha's work include Hydrology and Watershed Management Studies (20 papers), Climate variability and models (13 papers) and Meteorological Phenomena and Simulations (10 papers). Sanjeev Jha is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Climate variability and models (13 papers) and Meteorological Phenomena and Simulations (10 papers). Sanjeev Jha collaborates with scholars based in India, United States and Australia. Sanjeev Jha's co-authors include J. Christopher Westland, Siddhartha Bhattacharyya, Fabián A. Bombardelli, Kevin C. Desouza, Peter Baloh, Yukika Awazu, Jeffrey Y. Kim, Sridhar S. Papagari, Bellie Sivakumar and Caroline Dombrowski and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Water Resources Research.

In The Last Decade

Sanjeev Jha

85 papers receiving 2.5k citations

Hit Papers

Data mining for credit ca... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Sanjeev Jha 669 448 383 336 275 94 2.6k
Haixiang Guo 1.6k 2.4× 489 1.1× 491 1.3× 147 0.4× 213 0.8× 104 4.3k
Philip James 230 0.3× 574 1.3× 226 0.6× 273 0.8× 66 0.2× 171 4.3k
Xuan Liu 548 0.8× 746 1.7× 470 1.2× 175 0.5× 30 0.1× 116 3.5k
Max Henrion 1.2k 1.8× 703 1.6× 527 1.4× 242 0.7× 40 0.1× 54 5.1k
Ferenc Szidarovszky 300 0.4× 333 0.7× 606 1.6× 597 1.8× 74 0.3× 291 4.8k
Tim Bedford 479 0.7× 423 0.9× 232 0.6× 159 0.5× 85 0.3× 108 4.6k
Emanuele Borgonovo 206 0.3× 294 0.7× 714 1.9× 276 0.8× 128 0.5× 108 4.9k
Andrea Emilio Rizzoli 509 0.8× 653 1.5× 344 0.9× 643 1.9× 49 0.2× 130 4.3k
John J. Beauchamp 585 0.9× 344 0.8× 198 0.5× 204 0.6× 47 0.2× 89 4.1k
George Philip 260 0.4× 316 0.7× 321 0.8× 164 0.5× 26 0.1× 145 2.8k

Countries citing papers authored by Sanjeev Jha

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeev Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Jha. A scholar is included among the top collaborators of Sanjeev Jha 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 Sanjeev Jha. Sanjeev Jha 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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