S. Krishna Padmanabhan
- Statistics and Probability top 2%
- Pharmacology top 10%
- Management Science and Operations Research top 5%
- Experimental and Cognitive Psychology
- Computational Theory and Mathematics top 10%
- Co-authors
- Vladimir DragalinKaren A. TourianFrancis HsuanJames GroarkClaudine BrisardInna PerevozskayaAlan D. FeigerJosé Paulo Pinheiro
- Topics
- Statistical Methods in Clinical Trials (9 papers)Optimal Experimental Design Methods (6 papers)Treatment of Major Depression (5 papers)
- Journals
- IEEE Transactions on CommunicationsClinical TherapeuticsInternational Clinical Psychopharmacology
- Partner nations
- United StatesCanadaFrance
In The Last Decade
S. Krishna Padmanabhan
16 papers receiving 289 citations
Peers
Comparison fields: 5 of 58
- Statistics and Probability 151
- Pharmacology 126
- Management Science and Operations Research 112
- Experimental and Cognitive Psychology 66
- Computational Theory and Mathematics 55
Countries citing papers authored by S. Krishna Padmanabhan
This map shows the geographic impact of S. Krishna Padmanabhan'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. Krishna Padmanabhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Krishna Padmanabhan more than expected).
Fields of papers citing papers by S. Krishna Padmanabhan
This network shows the impact of papers produced by S. Krishna Padmanabhan. 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. Krishna Padmanabhan. The network helps show where S. Krishna Padmanabhan may publish in the future.
Co-authorship network of co-authors of S. Krishna Padmanabhan
This figure shows the co-authorship network connecting the top 25 collaborators of S. Krishna Padmanabhan. A scholar is included among the top collaborators of S. Krishna Padmanabhan 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. Krishna Padmanabhan. S. Krishna Padmanabhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 6 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 50 | |
| 7 | 11 | |
| 8 | 27 | |
| 9 | 61 | |
| 10 | 37 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 41 | |
| 16 | 25 |
About S. Krishna Padmanabhan
S. Krishna Padmanabhan is a scholar working on Statistics and Probability, Management Science and Operations Research and Biological Psychiatry, having authored 16 papers that have together received 318 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Optimal Experimental Design Methods (6 papers) and Treatment of Major Depression (5 papers). The work is most often cited by research in Statistics and Probability (151 citations), Management Science and Operations Research (112 citations) and Pharmacology (126 citations). S. Krishna Padmanabhan has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Vladimir Dragalin, Karen A. Tourian, Francis Hsuan, James Groark, Claudine Brisard, Inna Perevozskaya, Alan D. Feiger, José Paulo Pinheiro, Frank Bretz and Björn Bornkamp. Their work appears in journals such as IEEE Transactions on Communications, Clinical Therapeutics and International Clinical Psychopharmacology.
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.