Kailasa Pandarinath
- Geophysics top 5%
- Artificial Intelligence top 5%
- Geochemistry and Petrology top 2%
- Mechanics of Materials top 10%
- Atmospheric Science top 10%
- Co-authors
- Surendra P. VermaSanjeet K. VermaE. SantoyoIgnacio S. Torres-AlvaradoSalil AgrawalPeter DulskiM. G. YadavaEduardo Gonzáléz-Partida
- Topics
- Geochemistry and Geologic Mapping (28 papers)Geological and Geochemical Analysis (25 papers)Geology and Paleoclimatology Research (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnalytica Chimica ActaGeomorphology
In The Last Decade
Kailasa Pandarinath
48 papers receiving 801 citations
Peers
Comparison fields: 5 of 65
- Geophysics 490
- Artificial Intelligence 405
- Geochemistry and Petrology 246
- Mechanics of Materials 131
- Atmospheric Science 127
Countries citing papers authored by Kailasa Pandarinath
This map shows the geographic impact of Kailasa Pandarinath'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 Kailasa Pandarinath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailasa Pandarinath more than expected).
Fields of papers citing papers by Kailasa Pandarinath
This network shows the impact of papers produced by Kailasa Pandarinath. 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 Kailasa Pandarinath. The network helps show where Kailasa Pandarinath may publish in the future.
Co-authorship network of co-authors of Kailasa Pandarinath
This figure shows the co-authorship network connecting the top 25 collaborators of Kailasa Pandarinath. A scholar is included among the top collaborators of Kailasa Pandarinath 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 Kailasa Pandarinath. Kailasa Pandarinath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 32 | |
| 10 | 7 | |
| 11 | 54 | |
| 12 | Evaluation of geochemical sedimentary reference materials of the Geological Survey of Japan (GSJ) by an objective outlier rejection statistical method | 8 |
| 13 | 11 | |
| 14 | 6 | |
| 15 | 57 | |
| 16 | 1 | |
| 17 | 20 | |
| 18 | RADIOCARBON DATED SEDIMENTATION RECORD UP TO 2 KA BP ON THE INNER CONTINENTAL SHELF OFF MANGALORE, SOUTH-WEST COAST OF INDIA | 2 |
| 19 | 1 | |
| 20 | 1 |
About Kailasa Pandarinath
Kailasa Pandarinath is a scholar working on Geophysics, Geochemistry and Petrology and Earth-Surface Processes, having authored 51 papers that have together received 820 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (28 papers), Geological and Geochemical Analysis (25 papers) and Geology and Paleoclimatology Research (11 papers). The work is most often cited by research in Geochemistry and Petrology (246 citations), Geophysics (490 citations) and Artificial Intelligence (405 citations). Kailasa Pandarinath has collaborated with scholars based in Mexico, India and Germany. Frequent co-authors include Surendra P. Verma, Sanjeet K. Verma, E. Santoyo, Ignacio S. Torres-Alvarado, Salil Agrawal, Peter Dulski, M. G. Yadava, Eduardo Gonzáléz-Partida, John S. Armstrong‐Altrin and Sushma Prasad. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytica Chimica Acta and Geomorphology.
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.