C. Prabhakara

2.3k total citations
76 papers, 1.8k citations indexed

About

C. Prabhakara is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, C. Prabhakara has authored 76 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Atmospheric Science, 40 papers in Global and Planetary Change and 16 papers in Environmental Engineering. Recurrent topics in C. Prabhakara's work include Atmospheric Ozone and Climate (30 papers), Meteorological Phenomena and Simulations (24 papers) and Atmospheric and Environmental Gas Dynamics (22 papers). C. Prabhakara is often cited by papers focused on Atmospheric Ozone and Climate (30 papers), Meteorological Phenomena and Simulations (24 papers) and Atmospheric and Environmental Gas Dynamics (22 papers). C. Prabhakara collaborates with scholars based in United States, South Korea and Italy. C. Prabhakara's co-authors include G. Dalu, V. G. Kunde, Rudolf Hanel, B. J. Conrath, A. T. C. Chang, B. Schlachman, Paul D. Lowman, W. A. Hovis, R. Iacovazzi and J. C. Pearl and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

C. Prabhakara

68 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Prabhakara United States 24 1.2k 955 442 304 268 76 1.8k
M. T. Chahine United States 14 2.1k 1.8× 1.9k 2.0× 349 0.8× 264 0.9× 188 0.7× 36 2.6k
Moustafa T. Chahine United States 18 1.3k 1.1× 1.4k 1.4× 138 0.3× 183 0.6× 158 0.6× 50 1.9k
J. R. Eyre United Kingdom 27 2.4k 2.0× 2.0k 2.1× 501 1.1× 421 1.4× 257 1.0× 61 2.8k
V. E. Suomi United States 24 848 0.7× 737 0.8× 1.1k 2.4× 261 0.9× 63 0.2× 93 1.9k
S. I. Rasool United States 20 530 0.4× 464 0.5× 1.0k 2.3× 201 0.7× 92 0.3× 66 1.7k
J. Lenoble France 23 2.2k 1.9× 2.3k 2.4× 235 0.5× 227 0.7× 210 0.8× 85 2.7k
B. Khattatov United States 22 1.5k 1.3× 1.3k 1.4× 356 0.8× 126 0.4× 100 0.4× 44 1.9k
D. Labs Germany 15 961 0.8× 635 0.7× 795 1.8× 612 2.0× 99 0.4× 29 2.0k
George Ohring United States 19 965 0.8× 962 1.0× 172 0.4× 188 0.6× 125 0.5× 79 1.4k
R. P. Cebula United States 17 1.2k 1.0× 808 0.8× 458 1.0× 272 0.9× 72 0.3× 46 1.5k

Countries citing papers authored by C. Prabhakara

Since Specialization
Citations

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

Fields of papers citing papers by C. Prabhakara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Prabhakara

This figure shows the co-authorship network connecting the top 25 collaborators of C. Prabhakara. A scholar is included among the top collaborators of C. Prabhakara 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 C. Prabhakara. C. Prabhakara 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.
Prabhakara, C., et al.. (2008). A Method to Estimate Rain Rate over Tropical Oceans with the TRMM Microwave Imager Radiometer. Journal of the Meteorological Society of Japan Ser II. 86(1). 203–212. 3 indexed citations
2.
Prabhakara, C., et al.. (2005). A Model for Estimation of Rain Rate on Tropical Land from TRMM Microwave Imager Radiometer Observations. Journal of the Meteorological Society of Japan Ser II. 83(4). 595–609. 6 indexed citations
3.
Prabhakara, C., et al.. (2003). Surface Emissivity and Hydrometeors Derived from Microwave Satellite Observations and Model Reanalyses. Journal of the Meteorological Society of Japan Ser II. 81(5). 1087–1109. 1 indexed citations
4.
Prabhakara, C., et al.. (2002). TRMM Precipitation Radar and Microwave Imager Observations of Convective and Stratiform Rain over Land and their Theoretical Implications.. Journal of the Meteorological Society of Japan Ser II. 80(5). 1183–1197. 15 indexed citations
5.
Prabhakara, C., et al.. (2001). TRMM Observations of Polarization Difference in 85 GHz: Information about Hydrometeors and Rain Rate.. Journal of the Meteorological Society of Japan Ser II. 79(2). 701–707. 1 indexed citations
6.
Prabhakara, C., R. Iacovazzi, J. A. Weinman, & G. Dalu. (2000). A TRMM Microwave Radiometer Rain Rate Estimation Method with Convective and Stratiform Discrimination. Journal of the Meteorological Society of Japan Ser II. 78(3). 241–258. 27 indexed citations
7.
Prabhakara, C., R. Iacovazzi, Riko Oki, & J. A. Weinman. (1999). A Microwave Radiometer Rain Retrieval Method Applicable to Land Areas. Journal of the Meteorological Society of Japan Ser II. 77(4). 859–871. 3 indexed citations
8.
Prabhakara, C., R. Meneghini, David Short, et al.. (1998). A TRMM Microwave Radiometer Rain Retrieval Method Based on Fractional Rain Area. Journal of the Meteorological Society of Japan Ser II. 76(5). 765–781. 3 indexed citations
9.
10.
Prabhakara, C., et al.. (1996). Examination of ?global atmospheric temperature monitoring with satellite microwave measurements?: 2. Analysis of satellite data. Climatic Change. 33(4). 459–476. 9 indexed citations
11.
Prabhakara, C., et al.. (1993). Optimization of an Algorithm for the Estimation of Rainfall from the Special Sensor Microwave Imager Data. Journal of the Meteorological Society of Japan Ser II. 71(4). 419–425.
12.
Prabhakara, C., et al.. (1991). Optically thin cirrus clouds over oceans and possible impact on sea surface temperature of warm pool in western Pacific. NASA Technical Reports Server (NASA). 23(6). 1090–1101. 2 indexed citations
13.
Prabhakara, C., et al.. (1989). Tropical oceanic rainfall - Estimation from SMMR and SSM/I. NASA Technical Reports Server (NASA). 3 indexed citations
14.
Prabhakara, C. & David Short. (1984). Nimbus 7 SMMR Derived Seasonal Variations in the Water Vapor, Liquid Water and Surface Winds over the Global Oceans. NASA Technical Reports Server (NASA). 4 indexed citations
15.
Krueger, A. J., B. Guenther, A. J. Fleig, et al.. (1980). Satellite ozone measurements. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 296(1418). 191–204. 31 indexed citations
16.
Prabhakara, C., B. J. Conrath, Rudolf Hanel, & V. G. Kunde. (1972). Elimination of cloud effects in sensing ozone from 9.6 micron band.. 169. 1 indexed citations
17.
Hanel, Rudolf, B. J. Conrath, W. A. Hovis, et al.. (1972). Investigation of the Martian environment by infrared spectroscopy on Mariner 9. Icarus. 17(2). 423–442. 262 indexed citations
18.
Hanel, Rudolf, et al.. (1972). The Nimbus 4 infrared spectroscopy experiment: 1. Calibrated thermal emission spectra. Journal of Geophysical Research Atmospheres. 77(15). 2629–2641. 74 indexed citations
19.
Prabhakara, C., et al.. (1971). GLOBAL DISTRIBUTION OF OZONE FROM NIMBUS 3. NASA Technical Reports Server (NASA). 569–576. 2 indexed citations
20.
Prabhakara, C.. (1963). EFFECTS OF NON-PHOTOCHEMICAL PROCESSES ON THE MERIDIONAL DISTRIBUTION AND TOTAL AMOUNT OF OZONE IN THE ATMOSPHERE. Monthly Weather Review. 91(9). 411–431. 24 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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