Ramesh Kumar Yadav

1.4k total citations
38 papers, 1.1k citations indexed

About

Ramesh Kumar Yadav is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Ramesh Kumar Yadav has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 34 papers in Global and Planetary Change and 17 papers in Oceanography. Recurrent topics in Ramesh Kumar Yadav's work include Climate variability and models (32 papers), Meteorological Phenomena and Simulations (22 papers) and Tropical and Extratropical Cyclones Research (19 papers). Ramesh Kumar Yadav is often cited by papers focused on Climate variability and models (32 papers), Meteorological Phenomena and Simulations (22 papers) and Tropical and Extratropical Cyclones Research (19 papers). Ramesh Kumar Yadav collaborates with scholars based in India, United States and Saudi Arabia. Ramesh Kumar Yadav's co-authors include M. Rajeevan, K. Rupa Kumar, Jasti S. Chowdary, K. Rupa Kumar, G. Srinivas, Dandi A. Ramu, Fred Kucharski, Jin Yoo, Muhammad Adnan Abid and Mathew Koll Roxy and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Ramesh Kumar Yadav

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Kumar Yadav India 20 1.0k 926 287 59 48 38 1.1k
Hui Gao China 18 876 0.9× 758 0.8× 205 0.7× 32 0.5× 55 1.1× 65 992
Forest Cannon United States 19 878 0.9× 966 1.0× 74 0.3× 26 0.4× 55 1.1× 43 1.2k
Satoshi Iizuka Japan 21 1.2k 1.2× 998 1.1× 860 3.0× 18 0.3× 22 0.5× 58 1.4k
Noel E. Davidson Australia 25 1.3k 1.3× 1.5k 1.6× 575 2.0× 22 0.4× 56 1.2× 57 1.6k
Xiaoming Hu China 14 500 0.5× 465 0.5× 155 0.5× 17 0.3× 21 0.4× 46 625
S. Khodayar Germany 13 703 0.7× 637 0.7× 136 0.5× 17 0.3× 121 2.5× 33 871
Rosario Romero‐Centeno Mexico 14 319 0.3× 280 0.3× 246 0.9× 24 0.4× 24 0.5× 29 538
Mong‐Ming Lu Taiwan 17 731 0.7× 648 0.7× 398 1.4× 12 0.2× 26 0.5× 38 818
Yuxiang Zhu China 10 669 0.7× 641 0.7× 115 0.4× 23 0.4× 29 0.6× 20 791

Countries citing papers authored by Ramesh Kumar Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Kumar Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Kumar Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Kumar Yadav. A scholar is included among the top collaborators of Ramesh Kumar Yadav 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 Ramesh Kumar Yadav. Ramesh Kumar Yadav 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.
Kant, Shiva, et al.. (2024). Biomass and carbon stock assessment under different land use systems of semi-arid region of Bundelkhand, Northern India. International Journal of Advanced Biochemistry Research. 8(8S). 909–916.
2.
Yadav, Ramesh Kumar. (2024). The recent trends in the Indian summer monsoon rainfall. Environment Development and Sustainability. 27(6). 13565–13579. 12 indexed citations
3.
Yadav, Ramesh Kumar, et al.. (2024). Reasons for 2022 deficient Indian summer monsoon rainfall over Gangetic Plain. Meteorology and Atmospheric Physics. 136(5). 1 indexed citations
4.
Yadav, Ramesh Kumar, et al.. (2022). Gharial (Gavialis gangeticus, Gmelin, 1789) abundance in the Rapti River, Chitwan National Park, Nepal. Ecology and Evolution. 12(10). e9425–e9425. 3 indexed citations
5.
Yadav, Ramesh Kumar. (2021). Relationship between Azores High and Indian summer monsoon. npj Climate and Atmospheric Science. 4(1). 14 indexed citations
6.
Yadav, Ramesh Kumar, et al.. (2021). Role of equatorial central Pacific sea surface temperature in modulating rainfall over north India during Indian summer monsoon. International Journal of Climatology. 41(13). 6017–6030. 6 indexed citations
7.
8.
Ram, Somaru, et al.. (2019). Reconstruction of potential evapotranspiration over western Himalaya in India based on tree ring-width records. Quaternary International. 547. 145–151. 2 indexed citations
9.
Yadav, Ramesh Kumar, G. Srinivas, & Jasti S. Chowdary. (2018). Atlantic Niño modulation of the Indian summer monsoon through Asian jet. npj Climate and Atmospheric Science. 1(1). 55 indexed citations
10.
Attada, Raju, et al.. (2018). Prominent mode of summer surface air temperature variability and associated circulation anomalies over the Arabian Peninsula. Atmospheric Science Letters. 19(11). 30 indexed citations
11.
Chowdary, Jasti S., Dandi A. Ramu, G. Srinivas, et al.. (2018). Impact of multiyear La Niña events on the South and East Asian summer monsoon rainfall in observations and CMIP5 models. Climate Dynamics. 52(11). 6989–7011. 24 indexed citations
12.
Yadav, Ramesh Kumar & Bhupendra Bahadur Singh. (2016). North Equatorial Indian Ocean Convection and Indian Summer Monsoon June Progression: a Case Study of 2013 and 2014. Pure and Applied Geophysics. 174(2). 477–489. 6 indexed citations
13.
Yadav, Ramesh Kumar. (2016). On the relationship between Iran surface temperature and northwest India summer monsoon rainfall. International Journal of Climatology. 36(13). 4425–4438. 41 indexed citations
14.
Pradhan, Maheswar, et al.. (2016). Shift in MONSOON–SST teleconnections in the tropical Indian Ocean and ENSEMBLES climate models' fidelity in its simulation. International Journal of Climatology. 37(5). 2280–2294. 13 indexed citations
15.
Yadav, Ramesh Kumar, Dandi A. Ramu, & A. P. Dimri. (2013). On the relationship between ENSO patterns and winter precipitation over North and Central India. Global and Planetary Change. 107. 50–58. 47 indexed citations
16.
Yadav, Ramesh Kumar. (2012). Emerging role of Indian ocean on Indian northeast monsoon. Climate Dynamics. 41(1). 105–116. 25 indexed citations
17.
Yadav, Ramesh Kumar, K. Rupa Kumar, & M. Rajeevan. (2012). Characteristic features of winter precipitation and its variability over northwest India. Journal of Earth System Science. 121(3). 611–623. 76 indexed citations
18.
Yadav, Ramesh Kumar, K. Rupa Kumar, & M. Rajeevan. (2008). Climate change scenarios for Northwest India winter season. Quaternary International. 213(1-2). 12–19. 19 indexed citations
19.
Yadav, Ramesh Kumar, et al.. (2008). Condition based maintenance of power transformer: A case study. 502–504. 8 indexed citations
20.
Yadav, Ramesh Kumar, K. Rupa Kumar, & M. Rajeevan. (2006). Role of Indian Ocean sea surface temperatures in modulating northwest Indian winter precipitation variability. Theoretical and Applied Climatology. 87(1-4). 73–83. 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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