Guruprasad Madhavan
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Economics and Econometrics top 10%
- Pathology and Forensic Medicine
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Charles E. PhelpsLee HooperSam LeinsterJeffrey A. TiceAedín CassidyKenneth J. McLeodRino RappuoliPraveen Thokala
- Topics
- Vaccine Coverage and Hesitancy (9 papers)Health Systems, Economic Evaluations, Quality of Life (7 papers)Blind Source Separation Techniques (4 papers)
- Journals
- NatureProceedings of the National Academy of SciencesIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Guruprasad Madhavan
43 papers receiving 550 citations
Peers
Comparison fields: 5 of 120
- Biomedical Engineering 208
- Cognitive Neuroscience 106
- Economics and Econometrics 84
- Pathology and Forensic Medicine 60
- Orthopedics and Sports Medicine 60
Countries citing papers authored by Guruprasad Madhavan
This map shows the geographic impact of Guruprasad Madhavan'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 Guruprasad Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guruprasad Madhavan more than expected).
Fields of papers citing papers by Guruprasad Madhavan
This network shows the impact of papers produced by Guruprasad Madhavan. 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 Guruprasad Madhavan. The network helps show where Guruprasad Madhavan may publish in the future.
Co-authorship network of co-authors of Guruprasad Madhavan
This figure shows the co-authorship network connecting the top 25 collaborators of Guruprasad Madhavan. A scholar is included among the top collaborators of Guruprasad Madhavan 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 Guruprasad Madhavan. Guruprasad Madhavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 8 | |
| 6 | 27 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | Undergraduate Arab Nursing Students Simulation Training (SST) Using Maternity Simulaids: An overview of obstetric skill performance assessment by OSCE, Skill Competency and Student Satisfaction | 3 |
| 12 | 76 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 11 | |
| 20 | 0 |
About Guruprasad Madhavan
Guruprasad Madhavan is a scholar working on Health, General Decision Sciences and Orthopedics and Sports Medicine, having authored 47 papers that have together received 567 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (9 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (60 citations), Health (51 citations) and Cognitive Neuroscience (106 citations). Guruprasad Madhavan has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Charles E. Phelps, Lee Hooper, Sam Leinster, Jeffrey A. Tice, Aedín Cassidy, Kenneth J. McLeod, Rino Rappuoli, Praveen Thokala, David E. Bloom and Julian M. Stewart. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and IEEE Transactions on Biomedical Engineering.
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.