Bipin Kumar

1.5k total citations
44 papers, 1.0k citations indexed

About

Bipin Kumar is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Bipin Kumar has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 24 papers in Atmospheric Science and 20 papers in Oceanography. Recurrent topics in Bipin Kumar's work include Oceanographic and Atmospheric Processes (20 papers), Ocean Waves and Remote Sensing (13 papers) and Climate variability and models (13 papers). Bipin Kumar is often cited by papers focused on Oceanographic and Atmospheric Processes (20 papers), Ocean Waves and Remote Sensing (13 papers) and Climate variability and models (13 papers). Bipin Kumar collaborates with scholars based in India, United States and France. Bipin Kumar's co-authors include Jérôme Vialard, Michael J. McPhaden, Matthieu Lengaigne, V. S. N. Murty, Jörg Schumacher, Raymond A. Shaw, Wojciech W. Grabowski, T. M. Balakrishnan Nair, P. G. Remya and Meghan F. Cronin and has published in prestigious journals such as Journal of Fluid Mechanics, Scientific Reports and Journal of Climate.

In The Last Decade

Bipin Kumar

38 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bipin Kumar India 16 789 662 546 133 129 44 1.0k
Ramsey R. Harcourt United States 19 493 0.6× 1.3k 2.0× 779 1.4× 65 0.5× 152 1.2× 37 1.4k
Luke Van Roekel United States 14 461 0.6× 769 1.2× 601 1.1× 19 0.1× 110 0.9× 47 1.0k
Aurélien Ponte France 16 335 0.4× 794 1.2× 343 0.6× 31 0.2× 58 0.4× 35 866
Chuanyu Liu China 15 358 0.5× 530 0.8× 255 0.5× 67 0.5× 63 0.5× 46 635
Kay Sušelj United States 15 741 0.9× 391 0.6× 873 1.6× 37 0.3× 129 1.0× 31 1.1k
Jacques Piazzola France 16 330 0.4× 185 0.3× 380 0.7× 50 0.4× 198 1.5× 42 610
Sophia Merrifield United States 14 242 0.3× 504 0.8× 297 0.5× 66 0.5× 87 0.7× 48 660
Fabian Wolk Japan 11 185 0.2× 526 0.8× 288 0.5× 50 0.4× 51 0.4× 18 640
J. B. Edson United States 11 284 0.4× 587 0.9× 531 1.0× 20 0.2× 114 0.9× 13 792
Jose-Henrique Alves United States 18 179 0.2× 960 1.5× 764 1.4× 70 0.5× 390 3.0× 39 1.1k

Countries citing papers authored by Bipin Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Bipin Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bipin Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Bipin Kumar. A scholar is included among the top collaborators of Bipin 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 Bipin Kumar. Bipin 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, Bipin, et al.. (2025). Spatially Inhomogeneous Phase Change, and Its Effect on Cloud Turbulence. Geophysical Research Letters. 52(22).
2.
Bisht, Himani, et al.. (2025). Modeling daily reference evapotranspiration and evaluating uncertainty analysis in machine learning under limited meteorological data conditions for Northern India. Journal of Atmospheric and Solar-Terrestrial Physics. 278. 106696–106696.
3.
Kumar, N. Suresh, et al.. (2025). Internal Tidal Beams and Their Scattering in Nonuniform Stratification—Observations at a Continental Slope in the Northwest Bay of Bengal. Journal of Geophysical Research Oceans. 130(5). 1 indexed citations
4.
Kumar, Bipin, et al.. (2024). Deep learning-based bias correction of ISMR simulated by GCM. Atmospheric Research. 309. 107589–107589. 10 indexed citations
5.
Kumar, Bipin, M. C. R. Kalapureddy, Bhupendra Bahadur Singh, et al.. (2024). Utilizing deep learning for near real-time rainfall forecasting based on Radar data. Physics and Chemistry of the Earth Parts A/B/C. 135. 103600–103600. 5 indexed citations
6.
Thomas, Lois, et al.. (2023). CCN activation in homogeneous isotropic turbulence: Response to particle characteristics and environmental conditions. Atmospheric Research. 297. 107095–107095. 2 indexed citations
7.
Kumar, Bipin, Gaurav Govardhan, Santosh H. Kulkarni, et al.. (2023). Harnessing deep learning for forecasting fire-burning locations and unveiling $$PM_{2.5}$$ emissions. Modeling Earth Systems and Environment. 10(1). 927–941. 5 indexed citations
8.
Bhirud, Sunil, et al.. (2023). Quantum Computing to Study Cloud Turbulence Properties. IEEE Access. 11. 70679–70690. 6 indexed citations
9.
Kumar, Bipin, et al.. (2023). Machine learning based quantification of VOC contribution in surface ozone prediction. Chemosphere. 326. 138474–138474. 14 indexed citations
10.
Singh, Manmeet, Nachiketa Acharya, Pratiman Patel, et al.. (2023). A modified deep learning weather prediction using cubed sphere for global precipitation. Frontiers in Climate. 4. 4 indexed citations
11.
Kumar, Bipin, et al.. (2022). Development of NCL equivalent serial and parallel python routines for meteorological data analysis. The International Journal of High Performance Computing Applications. 36(3). 337–355. 2 indexed citations
12.
Kumar, Bipin, Rajib Chattopadhyay, Bhupendra Bahadur Singh, et al.. (2022). Deep learning based short-range forecasting of Indian summer monsoon rainfall using earth observation and ground station datasets. Geocarto International. 37(27). 17994–18021. 11 indexed citations
13.
Remya, P. G., et al.. (2022). Exploring the impact of southern ocean sea ice on the Indian Ocean swells. Scientific Reports. 12(1). 12360–12360. 9 indexed citations
14.
Kumar, Bipin, et al.. (2021). Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges. Parallel Computing. 107. 102811–102811.
15.
Kumar, Bipin, et al.. (2021). Impact of high- and low-vorticity turbulence on cloud–environment mixing and cloud microphysics processes. Atmospheric chemistry and physics. 21(16). 12317–12329. 9 indexed citations
16.
Grabowski, Wojciech W., Lois Thomas, & Bipin Kumar. (2021). Impact of Cloud-Base Turbulence on CCN Activation: Single-Size CCN. Journal of the Atmospheric Sciences. 79(2). 551–566. 15 indexed citations
17.
Thomas, Lois, Wojciech W. Grabowski, & Bipin Kumar. (2020). Diffusional growth of cloud droplets in homogeneous isotropic turbulence: DNS, scaled-up DNS, and stochastic model. Atmospheric chemistry and physics. 20(14). 9087–9100. 18 indexed citations
18.
Chatterjee, Abhisek, Bipin Kumar, Satya Prakash, & Prerna Singh. (2019). Annihilation of the Somali upwelling system during summer monsoon. Scientific Reports. 9(1). 7598–7598. 34 indexed citations
19.
Kumar, Bipin, et al.. (2018). Scale Dependence of Cloud Microphysical Response to Turbulent Entrainment and Mixing. Journal of Advances in Modeling Earth Systems. 10(11). 2777–2785. 38 indexed citations
20.
Kumar, Bipin, et al.. (2016). Latent Heat Flux Sensitivity to Sea Surface Temperature: Regional Perspectives. Journal of Climate. 30(1). 129–143. 36 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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