Sumit Kumar

496 total citations
26 papers, 307 citations indexed

About

Sumit Kumar is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Sumit Kumar has authored 26 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 6 papers in Oceanography. Recurrent topics in Sumit Kumar's work include Atmospheric aerosols and clouds (13 papers), Climate variability and models (12 papers) and Meteorological Phenomena and Simulations (11 papers). Sumit Kumar is often cited by papers focused on Atmospheric aerosols and clouds (13 papers), Climate variability and models (12 papers) and Meteorological Phenomena and Simulations (11 papers). Sumit Kumar collaborates with scholars based in India, United Kingdom and Croatia. Sumit Kumar's co-authors include P. C. S. Devara, R. C. Owen, Swarup China, Bo Zhang, B. Scarnato, Detlev Helmig, Lynn Mazzoleni, Judith A. Perlinger, K. Džepina and Jacques Hueber and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and International Journal of Remote Sensing.

In The Last Decade

Sumit Kumar

24 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumit Kumar India 8 292 237 83 29 14 26 307
J. Feichter Germany 5 295 1.0× 282 1.2× 69 0.8× 6 0.2× 8 0.6× 5 322
T. J. Breider United Kingdom 6 258 0.9× 209 0.9× 63 0.8× 17 0.6× 18 1.3× 7 282
P. J. Reddy United States 8 324 1.1× 286 1.2× 76 0.9× 20 0.7× 44 3.1× 9 362
H. Barjat United Kingdom 7 309 1.1× 277 1.2× 67 0.8× 26 0.9× 25 1.8× 8 336
Jutta Kesti Finland 6 250 0.9× 154 0.6× 119 1.4× 5 0.2× 15 1.1× 11 263
Maximilian Dollner Austria 12 393 1.3× 335 1.4× 106 1.3× 15 0.5× 24 1.7× 26 431
Melanie B. Follette‐Cook United States 11 307 1.1× 252 1.1× 100 1.2× 14 0.5× 53 3.8× 21 354
Filippo Giorgi Italy 8 302 1.0× 302 1.3× 43 0.5× 10 0.3× 16 1.1× 9 332
M. Roja Raman India 11 325 1.1× 272 1.1× 80 1.0× 18 0.6× 30 2.1× 20 358

Countries citing papers authored by Sumit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Kumar. A scholar is included among the top collaborators of Sumit 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 Sumit Kumar. Sumit 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, Sumit, et al.. (2024). Hydrometeor categorization in stratiform and convective precipitation systems over a tropical coastal region. Theoretical and Applied Climatology. 155(10). 9305–9325.
2.
Rani, S. Indira, Gibies George, Sumit Kumar, et al.. (2023). Assimilation of aircraft observations over the Indian monsoon region: Investigation of the effects of COVID‐19 on a reanalysis. Quarterly Journal of the Royal Meteorological Society. 149(752). 894–910. 2 indexed citations
3.
Kumar, Sumit, et al.. (2023). Modelling of bidirectional functionally graded plates with geometric nonlinearity: A comparative dynamic study using whole domain and finite element method. Communications in Nonlinear Science and Numerical Simulation. 130. 107698–107698. 1 indexed citations
4.
Rani, S. Indira, et al.. (2022). Assessing the quality of novel Aeolus winds for NWP applications at NCMRWF. Quarterly Journal of the Royal Meteorological Society. 148(744). 1344–1367. 11 indexed citations
5.
Kumar, Sumit, et al.. (2022). Raindrop size distribution of stratiform precipitation over Southwest India – The Gateway of Indian Summer Monsoon. Atmospheric Research. 272. 106125–106125. 4 indexed citations
6.
Dube, Anumeha, Sumit Kumar, S. Indira Rani, et al.. (2022). Improved skill of NCMRWF Unified Model (NCUM-G) in forecasting tropical cyclones over NIO during 2015–2019. Journal of Earth System Science. 131(2). 4 indexed citations
7.
8.
Rani, S. Indira, et al.. (2021). Evaluation of the benefits of assimilation of Meteosat-8 observations in an NWP system over the Indian Ocean region. Meteorology and Atmospheric Physics. 133(5). 1555–1576. 4 indexed citations
9.
Rani, S. Indira, et al.. (2021). Role of Space-Borne Sea Surface Winds on the Simulation of Tropical Cyclones Over the Indian Seas. Pure and Applied Geophysics. 178(11). 4665–4686. 5 indexed citations
10.
Mohapatra, M., et al.. (2021). Frequency of genesis and landfall of different categories of tropical cyclones over the North Indian Ocean. MAUSAM. 72(1). 1–26. 15 indexed citations
11.
George, Gibies, et al.. (2021). Impact of Aeolus horizontal line of sight wind observations in a global NWP system. Atmospheric Research. 261. 105742–105742. 14 indexed citations
12.
Routray, Ashish, et al.. (2020). Study of cyclogenesis of developing and non-developing tropical systems of NIO using NCUM forecasting system. Meteorology and Atmospheric Physics. 133(2). 379–397. 7 indexed citations
13.
Kumar, Sumit, et al.. (2016). Comparison of INSAT-3D AOD over Indian region with satellite- and ground-based measurements: a data assimilation perspective. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9876. 98762A–98762A. 1 indexed citations
14.
Kumar, Sumit, et al.. (2016). Dust forecast over North Africa: verification with satellite and ground based observations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9876. 98762I–98762I. 2 indexed citations
15.
Das, Prasenjit, John P. George, & Sumit Kumar. (2016). Verification of dust forecast over the Indian region with satellite and ground based observations. International Journal of Remote Sensing. 37(22). 5388–5411. 2 indexed citations
16.
Devara, P. C. S., Sumit Kumar, K. Vijayakumar, & G. Pandithurai. (2014). Sun-Sky Radiometer Synthesis of Interplay Between Aerosols and Monsoon Activity Over Pune, India. Pure and Applied Geophysics. 171(9). 2501–2517. 4 indexed citations
17.
Devara, P. C. S., Sumit Kumar, G. Pandithurai, P.D. Safai, & Sudhakar Dipu. (2013). Comparison between urban aerosol products retrieved from collocated Cimel and Prede Sun/sky radiometers at Pune, India. Meteorology and Atmospheric Physics. 120(3-4). 189–200. 4 indexed citations
18.
Kumar, Sumit & P. C. S. Devara. (2012). A long-term study of aerosol modulation of atmospheric and surface solar heating over Pune, India. Tellus B. 64(1). 18420–18420. 24 indexed citations
19.
Kumar, Sumit, P. C. S. Devara, K. K. Dani, S. M. Sonbawne, & Sanjoy Kumar Saha. (2011). Sun-sky radiometer–derived column-integrated aerosol optical and physical properties over a tropical urban station during 2004–2009. Journal of Geophysical Research Atmospheres. 116(D10). 28 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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