Kumar Abhinav
Impact in
-
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Neurology top 5%
Papers in ⓘ
- Neurology 11
-
- Advanced Neuroimaging Techniques and Applications 10
- Co-authors
- Fang‐Cheng Yeh (9 shared papers)Juan C. Fernandez‐Miranda (13 shared papers)Paul A. Gardner (7 shared papers)Sandip S. Panesar (5 shared papers)Juan C. Fernandez‐Miranda (5 shared papers)David Fernandes (2 shared papers)Sudhir Pathak (4 shared papers)Eric W. Wang (4 shared papers)
- Journals
- Neurosurgery (4 papers)Operative Neurosurgery (3 papers)Journal of neurosurgery (3 papers)Neurotherapeutics (2 papers)Translational Stroke Research (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Kumar Abhinav
37 papers receiving 954 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 393
- Neurology 254
- Computer Science Applications 61
- Genetics 91
- Endocrinology, Diabetes and Metabolism 131
Countries citing papers authored by Kumar Abhinav
This map shows the geographic impact of Kumar Abhinav'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 Kumar Abhinav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Abhinav more than expected).
Fields of papers citing papers by Kumar Abhinav
This network shows the impact of papers produced by Kumar Abhinav. 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 Kumar Abhinav. The network helps show where Kumar Abhinav may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Abhinav, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2017 | 104 | |
| 3 | 2014 | 88 | |
| 4 | 2015 | 73 | |
| 5 | 2016 | 63 | |
| 6 | 2019 | 53 | |
| 7 | 2015 | 44 | |
| 8 | 2018 | 41 | |
| 9 | 2015 | 36 | |
| 10 | 2020 | 31 | |
| 11 | 2013 | 29 | |
| 12 | 2020 | 27 | |
| 13 | 2014 | 24 | |
| 14 | 2016 | 23 | |
| 15 | 2014 | 22 | |
| 16 | 2017 | 21 | |
| 17 | 2015 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2011 | 16 | |
| 20 | 2016 | 14 |
About Kumar Abhinav
Kumar Abhinav is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Surgery, Computer Science Applications and Epidemiology, having authored 38 papers that have together received 972 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (10 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Meningioma and schwannoma management (7 papers), Head and Neck Surgical Oncology (7 papers), Open Source Software Innovations (5 papers), Pituitary Gland Disorders and Treatments (5 papers), Fetal and Pediatric Neurological Disorders (5 papers) and Moyamoya disease diagnosis and treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (393 citations), Neurology (254 citations), Computer Science Applications (61 citations), Genetics (91 citations) and Endocrinology, Diabetes and Metabolism (131 citations). Kumar Abhinav has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Fang‐Cheng Yeh, Juan C. Fernandez‐Miranda, Paul A. Gardner, Sandip S. Panesar, Juan C. Fernandez‐Miranda, David Fernandes, Sudhir Pathak, Eric W. Wang, Robert M. Friedlander and Alpana Dubey. Their work appears in journals such as Neurosurgery, Operative Neurosurgery, Journal of neurosurgery, Neurotherapeutics and Translational Stroke Research.
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.