Jitendra Kumar

3.1k total citations
86 papers, 1.2k citations indexed

About

Jitendra Kumar is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jitendra Kumar has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 18 papers in Environmental Engineering. Recurrent topics in Jitendra Kumar's work include Climate change and permafrost (21 papers), Atmospheric and Environmental Gas Dynamics (14 papers) and Cryospheric studies and observations (13 papers). Jitendra Kumar is often cited by papers focused on Climate change and permafrost (21 papers), Atmospheric and Environmental Gas Dynamics (14 papers) and Cryospheric studies and observations (13 papers). Jitendra Kumar collaborates with scholars based in United States, India and China. Jitendra Kumar's co-authors include Forrest M. Hoffman, William W. Hargrove, Colleen M. Iversen, Stan D. Wullschleger, Richard T. Mills, J. M. Warren, Anthony P. Walker, Paul J. Hanson, Zachary Langford and Peter Thornton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Jitendra Kumar

80 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jitendra Kumar United States 19 467 339 330 182 168 86 1.2k
Zhongyi Sun China 16 708 1.5× 243 0.7× 382 1.2× 194 1.1× 149 0.9× 76 1.4k
Fuan Tsai Taiwan 16 259 0.6× 267 0.8× 502 1.5× 245 1.3× 127 0.8× 76 1.4k
Annalisa Molini United States 22 726 1.6× 467 1.4× 152 0.5× 302 1.7× 126 0.8× 43 1.4k
Tianjie Lei China 21 1.1k 2.4× 302 0.9× 289 0.9× 259 1.4× 140 0.8× 59 1.6k
Koreen Millard Canada 19 551 1.2× 238 0.7× 668 2.0× 445 2.4× 72 0.4× 32 1.3k
Tongxi Hu United States 13 343 0.7× 278 0.8× 286 0.9× 412 2.3× 97 0.6× 27 979
Markus Möller Germany 19 359 0.8× 123 0.4× 315 1.0× 289 1.6× 287 1.7× 49 1.2k
Shuqing Zhang China 20 368 0.8× 188 0.6× 402 1.2× 147 0.8× 108 0.6× 91 1.1k
Iftikhar Ali Ireland 10 304 0.7× 164 0.5× 527 1.6× 449 2.5× 167 1.0× 10 1.1k

Countries citing papers authored by Jitendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Jitendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitendra Kumar

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

All Works

20 of 20 papers shown
1.
Kumar, Jitendra, Amy Breen, Forrest M. Hoffman, et al.. (2025). PAVC: The foundation for a Pan-Arctic Vegetation Cover database. Scientific Data. 12(1). 1271–1271.
2.
Rajput, Jitendra, Nand Lal Kushwaha, Aman Srivastava, et al.. (2025). Developing machine learning models for predicting daily relative humidity and solar radiation using lagged time series data inputs in a semi-arid climate. Journal of Atmospheric and Solar-Terrestrial Physics. 276. 106619–106619. 2 indexed citations
3.
Hoffman, Forrest M., et al.. (2025). Long Short‐Term Memory Model to Forecast River Ice Breakup Throughout Alaska USA. Water Resources Research. 61(9). 1 indexed citations
4.
Das, Uddalak, et al.. (2025). Identification of potential natural BCL-2 inhibitors for leukemia through an integrated virtual screening approach. BMC Pharmacology and Toxicology. 26(1). 176–176.
5.
Hai, Tao, et al.. (2024). Innovative clean hybrid energy system driven by flame-assisted SOFC: Multi-criteria optimization with ANN and genetic algorithm. International Journal of Hydrogen Energy. 63. 193–206. 8 indexed citations
6.
Wang, Zhuonan, Jitendra Kumar, Samantha R. Weintraub, et al.. (2024). Upscaling Soil Organic Carbon Measurements at the Continental Scale Using Multivariate Clustering Analysis and Machine Learning. Journal of Geophysical Research Biogeosciences. 129(2). 7 indexed citations
8.
Kumar, Jitendra, et al.. (2023). Carbon cycle extremes accelerate weakening of the land carbon sink in the late 21st century. Biogeosciences. 20(10). 1829–1841. 11 indexed citations
9.
Yadav, Manish, et al.. (2023). A review on drug stability. International Journal of Science and Research Archive. 9(1). 474–485. 5 indexed citations
10.
Novick, Kimberly A., Stefan Metzger, William R. L. Anderegg, et al.. (2022). Informing Nature‐based Climate Solutions for the United States with the best‐available science. Global Change Biology. 28(12). 3778–3794. 50 indexed citations
11.
Pallandt, Martijn, Jitendra Kumar, Marguerite Mauritz, et al.. (2022). Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements. Biogeosciences. 19(3). 559–583. 32 indexed citations
12.
Pallandt, Martijn, Jitendra Kumar, Marguerite Mauritz, et al.. (2021). Representativeness assessment of the pan-Arctic eddy-covariance site network, and optimized future enhancements. 3 indexed citations
13.
Bennett, Katrina E., Robert Busey, Min Chen, et al.. (2021). Spatial Patterns of Snow Distribution for Improved Earth System Modelling in the Arctic. 5 indexed citations
14.
Mao, Jiafu, Jitendra Kumar, Sarat Sreepathi, et al.. (2020). Land Model Testbed: Accelerating Development, Benchmarking and Analysis of Land Surface Models. OSF Preprints (OSF Preprints). 2020. 1 indexed citations
15.
Kumar, Jitendra, et al.. (2019). The impact of measure and time on quality wine-food pairing.. 8(2). 19–35. 2 indexed citations
16.
Devarakonda, Ranjeet, et al.. (2019). Big Federal Data Centers Implementing FAIR Data Principles: ARM Data Center Example. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6033–6036. 7 indexed citations
17.
Hoffman, Forrest M., et al.. (2017). Integrating Statistical and Expert Knowledge to Develop Phenoregions for the Continental United States. Japan Geoscience Union. 2 indexed citations
18.
Tang, Guoping, Fengming Yuan, Gautam Bisht, et al.. (2016). Addressing numerical challenges in introducing a reactive transport code into a land surface model: a biogeochemical modeling proof-of-concept with CLM–PFLOTRAN 1.0. Geoscientific model development. 9(3). 927–946. 22 indexed citations
19.
Biondi, Francesco, et al.. (2013). Integrating Statistical and Expert Knowledge to Develop Phenoregions for the Continental United States. AGUFM. 2013. 2 indexed citations
20.
Vundavilli, Pandu R., et al.. (2012). Parameter optimization of wire electric discharge machining process using GA and PSO. IEEE-International Conference On Advances In Engineering, Science And Management. 180–185. 4 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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