M. Satish‐Kumar
Impact in
- Geophysics top 1%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Paleontology top 2%
- Paleontology and Stratigraphy of Fossils
Papers in
- Geophysics 119
- Geological and Geochemical Analysis 109
- earthquake and tectonic studies 59
- High-pressure geophysics and materials 41
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- Geology and Paleoclimatology Research 43
- Co-authors
- M. Santosh (13 shared papers)Hideki Wada (13 shared papers)Tomokazu Hokada (18 shared papers)Takashi Yoshino (7 shared papers)G.H. Grantham (13 shared papers)Tetsuo Kawakami (15 shared papers)Yoshihiro Nakamura (6 shared papers)Kenji Horie (6 shared papers)
In The Last Decade
M. Satish‐Kumar
140 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 66
- Geophysics 1.8k
- Paleontology 368
- Geochemistry and Petrology 224
- Atmospheric Science 397
- Artificial Intelligence 531
Countries citing papers authored by M. Satish‐Kumar
This map shows the geographic impact of M. Satish‐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 M. Satish‐Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Satish‐Kumar more than expected).
Fields of papers citing papers by M. Satish‐Kumar
This network shows the impact of papers produced by M. Satish‐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 M. Satish‐Kumar. The network helps show where M. Satish‐Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Satish‐Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 106 | |
| 2 | 2012 | 65 | |
| 3 | 2014 | 61 | |
| 4 | 2013 | 56 | |
| 5 | 2005 | 48 | |
| 6 | 2002 | 47 | |
| 7 | 2008 | 47 | |
| 8 | 1996 | 45 | |
| 9 | 2021 | 44 | |
| 10 | 1998 | 38 | |
| 11 | 2012 | 37 | |
| 12 | 2000 | 35 | |
| 13 | 2006 | 34 | |
| 14 | 2004 | 34 | |
| 15 | 2003 | 33 | |
| 16 | 2011 | 32 | |
| 17 | 2012 | 30 | |
| 18 | 2021 | 30 | |
| 19 | 2017 | 29 | |
| 20 | 1998 | 29 |
About M. Satish‐Kumar
M. Satish‐Kumar is a scholar working on Geophysics, Atmospheric Science, Artificial Intelligence, Paleontology and Geochemistry and Petrology, having authored 144 papers that have together received 2.0k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (109 papers), earthquake and tectonic studies (59 papers), Geology and Paleoclimatology Research (43 papers), High-pressure geophysics and materials (41 papers), Geochemistry and Geologic Mapping (36 papers), Paleontology and Stratigraphy of Fossils (26 papers), Hydrocarbon exploration and reservoir analysis (9 papers) and Geochemistry and Elemental Analysis (9 papers). The work is most often cited by research in Geophysics (1.8k citations), Paleontology (368 citations), Geochemistry and Petrology (224 citations), Atmospheric Science (397 citations) and Artificial Intelligence (531 citations). M. Satish‐Kumar has collaborated with scholars based in Japan, India and Australia. Frequent co-authors include M. Santosh, Hideki Wada, Tomokazu Hokada, Takashi Yoshino, G.H. Grantham, Tetsuo Kawakami, Yoshihiro Nakamura, Kenji Horie, Noriyoshi Tsuchiya and Masahiro Ishikawa. Their work appears in journals such as Precambrian Research, Journal of Mineralogical and Petrological Sciences, Lithos, Gondwana Research and Journal of Metamorphic Geology.
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.