Pramod Kumar
Impact in
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- Paleontology and Stratigraphy of Fossils
- Evolution and Paleontology Studies
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- Geological formations and processes
Papers in
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- Quantum Computing Algorithms and Architecture 3
- Surgery 4
- Co-authors
- Atif Iqbal (1 shared paper)Anuradha Tomar (1 shared paper)Hasmat Malik (1 shared paper)Archana Tripathi (1 shared paper)Madhu Gupta (1 shared paper)Murali Munisamy (1 shared paper)Kameshwar Prasad (1 shared paper)Neha Raina (1 shared paper)
- Journals
- Dermatologic Surgery (1 paper)Tropical Animal Health and Production (1 paper)Naunyn-Schmiedeberg s Archives of Pharmacology (1 paper)Asian Journal of Psychiatry (1 paper)Molecular Cell (1 paper)
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Pramod Kumar
37 papers receiving 187 citations
Peers
Comparison fields: 5 of 114
- Paleontology 17
- Earth-Surface Processes 6
- Infectious Diseases 14
- Health Informatics 1
- Health Information Management 3
Countries citing papers authored by Pramod Kumar
This map shows the geographic impact of Pramod 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 Pramod Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pramod Kumar more than expected).
Fields of papers citing papers by Pramod Kumar
This network shows the impact of papers produced by Pramod 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 Pramod Kumar. The network helps show where Pramod Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pramod 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2022 | 25 | |
| 3 | 2023 | 12 | |
| 4 | 1988 | 8 | |
| 5 | 2024 | 8 | |
| 6 | 1970 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 1970 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 1968 | 5 | |
| 13 | 1988 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About Pramod Kumar
Pramod Kumar is a scholar working on Artificial Intelligence, Surgery, Paleontology, General Agricultural and Biological Sciences and Public Health, Environmental and Occupational Health, having authored 49 papers that have together received 213 indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Agricultural Economics and Practices (3 papers), Evolution and Paleontology Studies (3 papers), Paleontology and Stratigraphy of Fossils (3 papers), Agricultural risk and resilience (2 papers), Blockchain Technology Applications and Security (2 papers) and Heat Transfer Mechanisms (2 papers). The work is most often cited by research in Paleontology (17 citations), Earth-Surface Processes (6 citations), Infectious Diseases (14 citations), Health Informatics (1 citation) and Health Information Management (3 citations). Pramod Kumar has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Atif Iqbal, Anuradha Tomar, Hasmat Malik, Archana Tripathi, Madhu Gupta, Murali Munisamy, Kameshwar Prasad, Neha Raina, Pragya Pant and Ganesh Chauhan. Their work appears in journals such as Dermatologic Surgery, Tropical Animal Health and Production, Naunyn-Schmiedeberg s Archives of Pharmacology, Asian Journal of Psychiatry and Molecular Cell.
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.