Medha Deshpande

1.0k total citations
27 papers, 566 citations indexed

About

Medha Deshpande is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Medha Deshpande has authored 27 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 10 papers in Oceanography. Recurrent topics in Medha Deshpande's work include Climate variability and models (18 papers), Tropical and Extratropical Cyclones Research (17 papers) and Meteorological Phenomena and Simulations (12 papers). Medha Deshpande is often cited by papers focused on Climate variability and models (18 papers), Tropical and Extratropical Cyclones Research (17 papers) and Meteorological Phenomena and Simulations (12 papers). Medha Deshpande collaborates with scholars based in India, United States and Japan. Medha Deshpande's co-authors include Vineet Kumar Singh, Mathew Koll Roxy, P. S. Salvekar, Sandeep Pattnaik, Umesh Kumar, P. Mukhopadhyay, Suryachandra A. Rao, B. N. Goswami, Bidyut Bikash Goswami and Subodh Kumar Saha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Atmospheric Environment.

In The Last Decade

Medha Deshpande

26 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Medha Deshpande India 11 486 453 233 20 18 27 566
Sourav Taraphdar United States 12 612 1.3× 561 1.2× 207 0.9× 18 0.9× 17 0.9× 23 669
Yuan Sun China 16 631 1.3× 544 1.2× 319 1.4× 23 1.1× 28 1.6× 59 691
Tongtong Xu United States 9 496 1.0× 625 1.4× 408 1.8× 34 1.7× 17 0.9× 18 710
Hosmay Lopez United States 15 485 1.0× 591 1.3× 378 1.6× 32 1.6× 19 1.1× 39 692
Giovanni Liguori United States 14 419 0.9× 512 1.1× 304 1.3× 30 1.5× 16 0.9× 25 609
Natalia Tilinina Russia 13 447 0.9× 404 0.9× 187 0.8× 32 1.6× 6 0.3× 30 568
P. J. Gleckler United States 10 302 0.6× 365 0.8× 183 0.8× 26 1.3× 11 0.6× 13 425
Dirk Olonscheck Germany 10 514 1.1× 519 1.1× 191 0.8× 29 1.4× 15 0.8× 16 676
Rosana Nieto Ferreira United States 13 590 1.2× 629 1.4× 194 0.8× 20 1.0× 21 1.2× 26 700
Sujata Pattanayak India 13 480 1.0× 378 0.8× 233 1.0× 8 0.4× 18 1.0× 25 520

Countries citing papers authored by Medha Deshpande

Since Specialization
Citations

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

Fields of papers citing papers by Medha Deshpande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Medha Deshpande

This figure shows the co-authorship network connecting the top 25 collaborators of Medha Deshpande. A scholar is included among the top collaborators of Medha Deshpande 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 Medha Deshpande. Medha Deshpande 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.
Deshpande, Sachin M., et al.. (2025). Spatiotemporal Variations in the Characteristics of Mesoscale Convective Systems Over Indian Monsoon Zone. Journal of Geophysical Research Atmospheres. 130(4). 1 indexed citations
2.
Ganai, Malay, et al.. (2025). Effective forecast diagnostics for predicting extreme rainfall events: A statistics-based approach. Journal of Earth System Science. 134(3).
3.
4.
Deshpande, Medha, et al.. (2023). Statistical Analysis of Rainfall Data using non-parametric methods of Solapur District, Maharashtra, India. SHILAP Revista de lepidopterología. 405. 4046–4046. 1 indexed citations
5.
Camargo, Suzana J., Hiroyuki Murakami, Nadia Bloemendaal, et al.. (2023). An update on the influence of natural climate variability and anthropogenic climate change on tropical cyclones. SHILAP Revista de lepidopterología. 12(3). 216–239. 24 indexed citations
6.
Kumar, K. Sunil, Subrata Kumar Das, Sachin M. Deshpande, Medha Deshpande, & G. Pandithurai. (2022). Regional variability of precipitation characteristics in Tropical Cyclones over the North Indian Ocean from GPM-DPR measurements. Atmospheric Research. 283. 106568–106568. 10 indexed citations
7.
Pattanaik, D. R., et al.. (2022). Tropical cyclone track and intensity prediction skill of GFS model over NIO during 2019 & 2020. SHILAP Revista de lepidopterología. 11(1). 36–49. 7 indexed citations
8.
Deshpande, Medha, R. Phani, P. Mukhopadhyay, et al.. (2021). Global Ensemble Forecast System (GEFS T1534) evaluation for tropical cyclone prediction over the North Indian Ocean. MAUSAM. 72(1). 119–128. 7 indexed citations
9.
Singh, Vineet Kumar, Mathew Koll Roxy, & Medha Deshpande. (2021). Role of warm ocean conditions and the MJO in the genesis and intensification of extremely severe cyclone Fani. Scientific Reports. 11(1). 3607–3607. 31 indexed citations
10.
Konwar, Mahen, et al.. (2021). Vertical profile of aerosol characteristics including activation over a rain shadow region in India. Atmospheric Environment. 262. 118653–118653. 3 indexed citations
11.
Singh, Vineet Kumar, Mathew Koll Roxy, & Medha Deshpande. (2020). The Unusual Long Track and Rapid Intensification of Very Severe Cyclone Ockhi. Current Science. 119(5). 771–771. 32 indexed citations
12.
Deshpande, Medha, et al.. (2020). Evaluation of convective parameterization schemes in simulation of tropical cyclones by Climate Forecast System model: Version 2. Journal of Earth System Science. 129(1). 4 indexed citations
13.
Mukhopadhyay, P., V. S. Prasad, R. Phani, et al.. (2019). Performance of a very high-resolution global forecast system model (GFS T1534) at 12.5 km over the Indian region during the 2016–2017 monsoon seasons. Journal of Earth System Science. 128(6). 53 indexed citations
14.
Samanta, Dhrubajyoti, Saji N. Hameed, Dachao Jin, et al.. (2018). Impact of a Narrow Coastal Bay of Bengal Sea Surface Temperature Front on an Indian Summer Monsoon Simulation. Scientific Reports. 8(1). 17694–17694. 39 indexed citations
15.
Deshpande, Medha, et al.. (2018). Employment Trends in India. RePEc: Research Papers in Economics. 10(2). 77–103. 4 indexed citations
16.
Deshpande, Medha, et al.. (2016). Development, calibration and testing of three axis force sensor. 285–289. 2 indexed citations
17.
Goswami, Bidyut Bikash, Medha Deshpande, P. Mukhopadhyay, et al.. (2014). Simulation of monsoon intraseasonal variability in NCEP CFSv2 and its role on systematic bias. Climate Dynamics. 43(9-10). 2725–2745. 87 indexed citations
18.
Deshpande, Medha, Sandeep Pattnaik, & P. S. Salvekar. (2012). Impact of cloud parameterization on the numerical simulation of a super cyclone. Annales Geophysicae. 30(5). 775–795. 24 indexed citations
19.
Gnanaseelan, C., et al.. (2011). A Model Study on Understanding the Influence of Arabian Sea Mini Warm Pool on Monsoon Onset Vortex Formation. Pure and Applied Geophysics. 169(9). 1693–1706. 8 indexed citations
20.
Deshpande, Medha, Sandeep Pattnaik, & P. S. Salvekar. (2010). Impact of physical parameterization schemes on numerical simulation of super cyclone Gonu. Natural Hazards. 55(2). 211–231. 50 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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