R. Karthika
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Civil and Structural Engineering top 10%
- Media Technology top 10%
- Co-authors
- Latha ParameswaranJ AravinthS. SivaranjaniM. GanesanR SurendranB. JayalakshmiE.P. SumeshMarkkandan Ganesan
- Topics
- Advanced Neural Network Applications (9 papers)Video Surveillance and Tracking Methods (6 papers)Autonomous Vehicle Technology and Safety (5 papers)
- Journals
- Journal of Computational and Theoretical NanosciencePattern Recognition and Image AnalysisJournal of Advanced Research in Dynamical and Control Systems
In The Last Decade
R. Karthika
26 papers receiving 366 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 126
- Artificial Intelligence 97
- Health Information Management 83
- Civil and Structural Engineering 77
- Media Technology 53
Countries citing papers authored by R. Karthika
This map shows the geographic impact of R. Karthika'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 R. Karthika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Karthika more than expected).
Fields of papers citing papers by R. Karthika
This network shows the impact of papers produced by R. Karthika. 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 R. Karthika. The network helps show where R. Karthika may publish in the future.
Co-authorship network of co-authors of R. Karthika
This figure shows the co-authorship network connecting the top 25 collaborators of R. Karthika. A scholar is included among the top collaborators of R. Karthika 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 R. Karthika. R. Karthika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 88 | |
| 10 | 7 | |
| 11 | 14 | |
| 12 | 7 | |
| 13 | 33 | |
| 14 | 19 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 0 | |
| 19 | 8 | |
| 20 | 1 |
About R. Karthika
R. Karthika is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 33 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Video Surveillance and Tracking Methods (6 papers) and Autonomous Vehicle Technology and Safety (5 papers). The work is most often cited by research in Health Information Management (83 citations), Computer Vision and Pattern Recognition (126 citations) and Media Technology (53 citations). R. Karthika has collaborated with scholars based in India and Germany. Frequent co-authors include Latha Parameswaran, J Aravinth, S. Sivaranjani, M. Ganesan, R Surendran, B. Jayalakshmi, E.P. Sumesh, Markkandan Ganesan, E. Prabhu and Björn W. Schuller. Their work appears in journals such as Journal of Computational and Theoretical Nanoscience, Pattern Recognition and Image Analysis and Journal of Advanced Research in Dynamical and Control Systems.
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.