D. V. Subba Rao
- Geophysics top 2%
- Geological and Geochemical Analysis 43
- earthquake and tectonic studies 35
- High-pressure geophysics and materials 15
- Geophysical and Geoelectrical Methods 3
- Geochemistry and Petrology top 2%
- Geochemistry and Elemental Analysis 11
- Artificial Intelligence top 5%
- Geochemistry and Geologic Mapping 24
- Paleontology top 10%
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- Geological formations and processes 2
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- Extraction and Separation Processes 2
D. V. Subba Rao
50 papers receiving 869 citations
Peers
Comparison fields: 5 of 41
- Geophysics 809
- Geochemistry and Petrology 213
- Artificial Intelligence 326
- Paleontology 64
- Geology 27
Countries citing papers authored by D. V. Subba Rao
This map shows the geographic impact of D. V. Subba Rao'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 D. V. Subba Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. V. Subba Rao more than expected).
Fields of papers citing papers by D. V. Subba Rao
This network shows the impact of papers produced by D. V. Subba Rao. 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 D. V. Subba Rao. The network helps show where D. V. Subba Rao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. V. Subba Rao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 8 | |
| 6 | 2019 | 9 | |
| 7 | 2017 | 19 | |
| 8 | 2015 | 7 | |
| 9 | Geology, geochemistry and tectonic significance of proterozoic mafic dykes from chittoor cluster, south of Cuddapah Basin, India | 2015 | 1 |
| 10 | 2015 | 16 | |
| 11 | Geochemical studies of clastic sediments from late- Archaean bababudan group, western dharwar craton: Implications for redo conditions, provenance modeling and tectonic settings | 2012 | 2 |
| 12 | Geochemistry of late-archean bhavani (mettupalayam) mafic/ultramafic complex, Southern India: implications for platinum group element mineralization | 2011 | 5 |
| 13 | Paleoproterozoic Boninite-Like Rocks in an Intracratonic Setting from Northern Bastar Craton, Central India | 2008 | 11 |
| 14 | 2006 | 1 | |
| 15 | 2004 | 1 | |
| 16 | 1999 | 10 | |
| 17 | 1997 | 4 | |
| 18 | 1995 | 5 | |
| 19 | 1982 | 1 | |
| 20 | 1974 | 3 |
About D. V. Subba Rao
D. V. Subba Rao is a scholar working on Geophysics, Geochemistry and Petrology and Artificial Intelligence, having authored 54 papers that have together received 888 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (43 papers), earthquake and tectonic studies (35 papers), Geochemistry and Geologic Mapping (24 papers), High-pressure geophysics and materials (15 papers), Geochemistry and Elemental Analysis (11 papers), Geophysical and Geoelectrical Methods (3 papers), Geological formations and processes (2 papers) and Extraction and Separation Processes (2 papers). The work is most often cited by research in Geophysics (809 citations), Geochemistry and Petrology (213 citations) and Artificial Intelligence (326 citations). D. V. Subba Rao has collaborated with scholars based in India, China and Australia. Frequent co-authors include C. Manikyamba, S. M. Naqvi, Talat Ahmad, Tarun C. Khanna, M. Santosh, Sohini Ganguly, Abhishek Saha, M. Satyanarayanan, M. Rajanikanta Singh and M. Ram Mohan. Their work appears in journals such as Geochimica et Cosmochimica Acta, Earth and Planetary Science Letters and Geophysical Research Letters.
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.