Amita Mehta

1.0k total citations
26 papers, 667 citations indexed

About

Amita Mehta is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Amita Mehta has authored 26 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Amita Mehta's work include Meteorological Phenomena and Simulations (11 papers), Climate variability and models (11 papers) and Precipitation Measurement and Analysis (8 papers). Amita Mehta is often cited by papers focused on Meteorological Phenomena and Simulations (11 papers), Climate variability and models (11 papers) and Precipitation Measurement and Analysis (8 papers). Amita Mehta collaborates with scholars based in United States, Sweden and Italy. Amita Mehta's co-authors include D. Oosterhof, T. N. Krishnamurti, Joel Susskind, Paolo Piraino, L. Rokke, Lena Iredell, Song Yang, Eric A. Smith, Jarno Mielikäinen and Giulia Panegrossi and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Amita Mehta

25 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amita Mehta United States 10 537 536 187 68 37 26 667
Bill Bell United Kingdom 6 431 0.8× 442 0.8× 100 0.5× 54 0.8× 29 0.8× 9 605
Graziano Giuliani Italy 19 911 1.7× 860 1.6× 163 0.9× 77 1.1× 60 1.6× 44 1.1k
A. Genovés Spain 12 719 1.3× 681 1.3× 95 0.5× 43 0.6× 35 0.9× 18 808
Lynn A. McMurdie United States 16 484 0.9× 612 1.1× 116 0.6× 52 0.8× 18 0.5× 45 681
B. Denis Canada 15 915 1.7× 960 1.8× 80 0.4× 73 1.1× 44 1.2× 18 1.0k
Ryoji Nagasawa Japan 5 493 0.9× 559 1.0× 107 0.6× 69 1.0× 20 0.5× 6 644
Anu Simon United States 14 479 0.9× 429 0.8× 67 0.4× 52 0.8× 37 1.0× 21 540
Maurizio Fantini Italy 13 462 0.9× 556 1.0× 188 1.0× 34 0.5× 15 0.4× 36 652
Richard H. Grumm United States 14 713 1.3× 655 1.2× 56 0.3× 78 1.1× 25 0.7× 30 815
Geoffrey J. DiMego United States 12 573 1.1× 654 1.2× 119 0.6× 107 1.6× 18 0.5× 17 727

Countries citing papers authored by Amita Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Amita Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amita Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Amita Mehta. A scholar is included among the top collaborators of Amita Mehta 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 Amita Mehta. Amita Mehta 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.
Mehta, Amita, et al.. (2024). Revisiting the PMP return periods: A Case study of IMERG data in CONUS. 13. 200120–200120. 2 indexed citations
2.
Zheng, Guangming, Stephanie Schollaert Uz, Pierre St‐Laurent, et al.. (2024). Hypoxia Forecasting for Chesapeake Bay Using Artificial Intelligence. Maryland Shared Open Access Repository (USMAI Consortium). 3(3). 1 indexed citations
3.
Mehta, Amita, et al.. (2024). Estimating Rainfall Anomalies with IMERG Satellite Data: Access via the IPE Web Application. Remote Sensing. 16(22). 4137–4137. 3 indexed citations
4.
Prados, A. I., et al.. (2021). Best Practices In Multilanguage Satellite Remote Sensing Training: Case Studies In Spanish-Speaking Countries [Education]. IEEE Geoscience and Remote Sensing Magazine. 9(2). 105–111. 1 indexed citations
5.
6.
Prados, A. I., et al.. (2019). Impact of the ARSET Program on Use of Remote-Sensing Data. ISPRS International Journal of Geo-Information. 8(6). 261–261. 14 indexed citations
7.
Mehta, Amita, et al.. (2014). STUDY ON HYDROGEOCHEMISTRY OF GROUNDWATER IN SANGANER TEHSIL, JAIPUR DISTRICT, RAJASTHAN. 1 indexed citations
8.
Smith, Eric A., James B. Elsner, Amita Mehta, et al.. (2013). Transitioning from CRD to CDRD in Bayesian retrieval of rainfall from satellite passive microwave measurements: Part 3 – Identification of optimal meteorological tags. Natural hazards and earth system sciences. 13(5). 1185–1208. 12 indexed citations
9.
Mielikäinen, Jarno, et al.. (2013). Speeding Up the Computation of WRF Double-Moment 6-Class Microphysics Scheme with GPU. Journal of Atmospheric and Oceanic Technology. 30(12). 2896–2906. 21 indexed citations
10.
Mehta, Amita. (2009). Physicians' contribution to climate change. Canadian Medical Association Journal. 180(11). 1176–1176. 2 indexed citations
11.
Mehta, Amita & Song Yang. (2008). Precipitation climatology over Mediterranean Basin from ten years of TRMM measurements. Advances in geosciences. 17. 87–91. 72 indexed citations
12.
Sahu, K. C., et al.. (2007). Assessment of physico-chemical parameters of Sagar lake, India.. Asian Journal of Biological Sciences. 2. 76–78. 2 indexed citations
13.
Mehta, Amita & Joel Susskind. (1999). Longwave Radiative Flux Calculations in the TOVS Pathfinder Path A Data Set. NASA Technical Reports Server (NASA). 6 indexed citations
14.
Mehta, Amita & Joel Susskind. (1999). Outgoing longwave radiation from the TOVS Pathfinder Path A data set. Journal of Geophysical Research Atmospheres. 104(D10). 12193–12212. 31 indexed citations
15.
Susskind, Joel, Paolo Piraino, L. Rokke, Lena Iredell, & Amita Mehta. (1997). Characteristics of the TOVS Pathfinder Path A Dataset. Bulletin of the American Meteorological Society. 78(7). 1449–1472. 202 indexed citations
16.
Mehta, Amita & Eric A. Smith. (1997). Variability of Radiative Cooling during the Asian Summer Monsoon and Its Influence on Intraseasonal Waves. Journal of the Atmospheric Sciences. 54(8). 941–966. 9 indexed citations
17.
Smith, Eric A. & Amita Mehta. (1990). The role of organized tropical storms and cyclones on intraseasonal oscillations in the Asian monsoon domain based on INSAT satellite measurements. Meteorology and Atmospheric Physics. 44(1-4). 195–218. 9 indexed citations
18.
Mehta, Amita. (1988). Interannual Variability of the 30 to 50 Day Wave Motions. Journal of the Meteorological Society of Japan Ser II. 66(4). 535–548. 22 indexed citations
19.
Krishnamurti, T. N., D. Oosterhof, & Amita Mehta. (1988). Air–Sea Interaction on the Time Scale of 30 to 50 Days. Journal of the Atmospheric Sciences. 45(8). 1304–1322. 188 indexed citations
20.
Cooper, Harry J., et al.. (1988). Color graphics workstations used for simultaneous display of satellite and model data sets. NASA Technical Reports Server (NASA). 2 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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