Medhini Narasimhan
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Signal Processing
- Epidemiology
- Co-authors
- S. Sowmya KamathTrevor DarrellDan KleinCordelia SchmidSanjay SubramanianAndrew OwensKevin YangAlexei A. Efros
- Topics
- Advanced Clustering Algorithms Research (2 papers)Face and Expression Recognition (2 papers)Fuzzy Logic and Control Systems (2 papers)
- Journals
- Multimedia Tools and ApplicationsInternational Journal of Bio-Inspired Computation2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Partner nations
- IndiaUnited States
In The Last Decade
Medhini Narasimhan
5 papers receiving 69 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 53
- Computer Vision and Pattern Recognition 42
- Computer Networks and Communications 28
- Signal Processing 6
- Epidemiology 5
Countries citing papers authored by Medhini Narasimhan
This map shows the geographic impact of Medhini Narasimhan'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 Medhini Narasimhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Medhini Narasimhan more than expected).
Fields of papers citing papers by Medhini Narasimhan
This network shows the impact of papers produced by Medhini Narasimhan. 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 Medhini Narasimhan. The network helps show where Medhini Narasimhan may publish in the future.
Co-authorship network of co-authors of Medhini Narasimhan
This figure shows the co-authorship network connecting the top 25 collaborators of Medhini Narasimhan. A scholar is included among the top collaborators of Medhini Narasimhan 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 Medhini Narasimhan. Medhini Narasimhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 42 |
About Medhini Narasimhan
Medhini Narasimhan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 5 papers that have together received 70 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (2 papers), Face and Expression Recognition (2 papers) and Fuzzy Logic and Control Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (42 citations), Computational Mathematics (1 citation) and Artificial Intelligence (53 citations). Medhini Narasimhan has collaborated with scholars based in India and United States. Frequent co-authors include S. Sowmya Kamath, Trevor Darrell, Dan Klein, Cordelia Schmid, Sanjay Subramanian, Andrew Owens, Kevin Yang, Alexei A. Efros, Arsha Nagrani and Andy Zeng. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Bio-Inspired Computation and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.