Shailendra Kumar

933 total citations
38 papers, 721 citations indexed

About

Shailendra Kumar is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Shailendra Kumar has authored 38 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 30 papers in Global and Planetary Change and 3 papers in Astronomy and Astrophysics. Recurrent topics in Shailendra Kumar's work include Meteorological Phenomena and Simulations (32 papers), Precipitation Measurement and Analysis (25 papers) and Atmospheric aerosols and clouds (17 papers). Shailendra Kumar is often cited by papers focused on Meteorological Phenomena and Simulations (32 papers), Precipitation Measurement and Analysis (25 papers) and Atmospheric aerosols and clouds (17 papers). Shailendra Kumar collaborates with scholars based in Peru, India and United States. Shailendra Kumar's co-authors include G. S. Bhat, Yamina Silva, Aldo S. Moya-Álvarez, Daniel Martínez-Castro, René Estevan, Stuart Bowyer, Francesco Paresce, L. Ruby Leung, Chandan Sarangi and Yun Qian and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Astrophysical Journal and Geophysical Research Letters.

In The Last Decade

Shailendra Kumar

37 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shailendra Kumar Peru 18 644 562 73 66 13 38 721
G. N. Shur Russia 9 487 0.8× 415 0.7× 27 0.4× 99 1.5× 28 2.2× 15 585
Quentin Errera Belgium 16 801 1.2× 689 1.2× 48 0.7× 46 0.7× 14 1.1× 44 843
D. Lambert France 17 478 0.7× 497 0.9× 89 1.2× 86 1.3× 88 6.8× 37 607
E. Pavelin United Kingdom 13 510 0.8× 432 0.8× 38 0.5× 103 1.6× 34 2.6× 14 554
Alison D. Nugent United States 9 315 0.5× 272 0.5× 21 0.3× 49 0.7× 37 2.8× 23 384
Andreas Giez Germany 11 427 0.7× 394 0.7× 111 1.5× 37 0.6× 36 2.8× 24 490
Hélène Brogniez France 16 652 1.0× 612 1.1× 28 0.4× 26 0.4× 62 4.8× 40 701
Donato Summa Italy 17 664 1.0× 706 1.3× 87 1.2× 16 0.2× 11 0.8× 55 777
H. Herbin France 10 813 1.3× 766 1.4× 50 0.7× 23 0.3× 23 1.8× 14 892
D. Narayana Rao India 12 371 0.6× 253 0.5× 55 0.8× 64 1.0× 14 1.1× 25 406

Countries citing papers authored by Shailendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Shailendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailendra Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Shailendra Kumar. A scholar is included among the top collaborators of Shailendra 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 Shailendra Kumar. Shailendra 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, Shailendra, et al.. (2024). Hydrometeors Distribution in Intense Precipitating Cloud Cells Over the Earth’s During Two Rainfall Seasons. Journal of the Indian Society of Remote Sensing. 52(1). 95–111. 2 indexed citations
2.
Kumar, Shailendra, et al.. (2023). Characteristics of cloud properties over South America and over Andes observed using CloudSat and reanalysis data. International Journal of Remote Sensing. 44(6). 1976–2004. 4 indexed citations
3.
Gatlin, Patrick, et al.. (2022). The GPM-DPR Blind Zone Effect on Satellite-Based Radar Estimation of Precipitation over the Andes from a Ground-Based Ka-band Profiler Perspective. Journal of Applied Meteorology and Climatology. 61(4). 441–456. 8 indexed citations
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Kumar, Shailendra & Yamina Silva. (2020). Distribution of hydrometeors in monsoonal clouds over the South American continent during the austral summer monsoon: GPM observations. International Journal of Remote Sensing. 41(10). 3677–3707. 13 indexed citations
8.
Kumar, Shailendra, et al.. (2020). Effect of low-level flow and Andes mountain on the tropical and mid-latitude precipitating cloud systems: GPM observations. Theoretical and Applied Climatology. 141(1-2). 157–172. 11 indexed citations
9.
Martínez-Castro, Daniel, et al.. (2019). The Impact of Microphysics Parameterization in the Simulation of Two Convective Rainfall Events over the Central Andes of Peru Using WRF-ARW. Atmosphere. 10(8). 442–442. 34 indexed citations
10.
Cuxart, Joan, et al.. (2019). Seasonal and Diurnal Cycles of Surface Boundary Layer and Energy Balance in the Central Andes of Perú, Mantaro Valley. Atmosphere. 10(12). 779–779. 12 indexed citations
11.
Martínez-Castro, Daniel, et al.. (2019). Estudio de tormentas convectivas sobre los Andes Centrales del Perú usando los radares PR-TRMM y KuPR-GPM. 25(1). 59–75. 6 indexed citations
12.
Moya-Álvarez, Aldo S., Daniel Martínez-Castro, Shailendra Kumar, René Estevan, & Yamina Silva. (2019). Response of the WRF model to different resolutions in the rainfall forecast over the complex Peruvian orography. Theoretical and Applied Climatology. 137(3-4). 2993–3007. 39 indexed citations
13.
Moya-Álvarez, Aldo S., et al.. (2018). Extreme Rainfall Forecast with the WRF-ARW Model in the Central Andes of Peru. Atmosphere. 9(9). 362–362. 40 indexed citations
14.
Kumar, Shailendra. (2017). Vertical Characteristics of Reflectivity in Intense Convective Clouds using TRMM PR Data. Environment and Natural Resources Research. 7(2). 58–58. 14 indexed citations
15.
Kumar, Shailendra & G. S. Bhat. (2016). Vertical Profiles of Radar Reflectivity Factor in Intense Convective Clouds in the Tropics. Journal of Applied Meteorology and Climatology. 55(5). 1277–1286. 33 indexed citations
16.
Bhat, G. S. & Shailendra Kumar. (2015). Vertical structure of cumulonimbus towers and intense convective clouds over the South Asian region during the summer monsoon season. Journal of Geophysical Research Atmospheres. 120(5). 1710–1722. 57 indexed citations
17.
Kumar, Shailendra. (1982). Photochemistry of SO2in the atmosphere of Io and implications on atmospheric escape. Journal of Geophysical Research Atmospheres. 87(A3). 1677–1684. 47 indexed citations
18.
Kumar, Shailendra, Stuart Bowyer, & Francesco Paresce. (1974). An observation of O+ 834 Å nightglow emission. Geophysical Research Letters. 1(3). 109–111. 8 indexed citations
19.
Paresce, Francesco, Stuart Bowyer, & Shailendra Kumar. (1973). Evidence for an Interstellar or Interplanetary Source of Diffuse he i 584 Å Radiation. The Astrophysical Journal. 183. L87–L87. 18 indexed citations
20.
Kumar, Shailendra, Stuart Bowyer, Francesco Paresce, & J. B. Kumer. (1973). Polarization of the 584- and 304-Angstrom emissions of helium in the geocorona and interplanetary medium. Journal of Geophysical Research Atmospheres. 78(34). 8065–8077. 5 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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