S. Sankaranarayanan
- Oceanography top 10%
- Computational Theory and Mathematics top 10%
- Atmospheric Science
- Computational Mechanics
- Artificial Intelligence
- Co-authors
- Malcolm L. SpauldingDeborah French McCayHin‐Fatt CheongN. Jothi ShankarZohar MannaHenny B. SipmaCésar SánchezBernd Finkbeiner
- Topics
- Oceanographic and Atmospheric Processes (10 papers)Tropical and Extratropical Cyclones Research (9 papers)Coastal and Marine Dynamics (4 papers)
- Journals
- Journal of Computational PhysicsBiochimica et Biophysica Acta (BBA) - Molecular Basis of DiseaseJournal of Media Literacy Education
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
S. Sankaranarayanan
23 papers receiving 286 citations
Peers
Comparison fields: 5 of 69
- Oceanography 81
- Computational Theory and Mathematics 71
- Atmospheric Science 61
- Computational Mechanics 60
- Artificial Intelligence 55
Countries citing papers authored by S. Sankaranarayanan
This map shows the geographic impact of S. Sankaranarayanan'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 S. Sankaranarayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sankaranarayanan more than expected).
Fields of papers citing papers by S. Sankaranarayanan
This network shows the impact of papers produced by S. Sankaranarayanan. 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 S. Sankaranarayanan. The network helps show where S. Sankaranarayanan may publish in the future.
Co-authorship network of co-authors of S. Sankaranarayanan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Sankaranarayanan. A scholar is included among the top collaborators of S. Sankaranarayanan 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 S. Sankaranarayanan. S. Sankaranarayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 91 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 9 | |
| 11 | 30 | |
| 12 | 30 | |
| 13 | COASTMAP, an integrated system for monitoring and modeling of coastal waters: application to Greenwich Bay | 5 |
| 14 | 22 | |
| 15 | 11 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 5 |
About S. Sankaranarayanan
S. Sankaranarayanan is a scholar working on Oceanography, Earth-Surface Processes and Atmospheric Science, having authored 23 papers that have together received 303 indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (10 papers), Tropical and Extratropical Cyclones Research (9 papers) and Coastal and Marine Dynamics (4 papers). The work is most often cited by research in Software (30 citations), Earth-Surface Processes (49 citations) and Oceanography (81 citations). S. Sankaranarayanan has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Malcolm L. Spaulding, Deborah French McCay, Hin‐Fatt Cheong, N. Jothi Shankar, Zohar Manna, Henny B. Sipma, César Sánchez, Bernd Finkbeiner, Janakiraman Vani and Deborah French-McCay. Their work appears in journals such as Journal of Computational Physics, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Journal of Media Literacy Education.
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.