Kannan Balakrishnan
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Media Technology top 5%
- Geometry and Topology top 5%
- Co-authors
- Manoj ChangatSandi KlavžarBoštjan BrešarIztok PeterinPrimož ŠparlSimon ŠpacapanAleksander VeselHenry Martyn Mulder
- Topics
- Advanced Graph Theory Research (12 papers)Hand Gesture Recognition Systems (8 papers)Complexity and Algorithms in Graphs (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessPhysica A Statistical Mechanics and its Applications
- Partner nations
- IndiaSloveniaNetherlands
In The Last Decade
Kannan Balakrishnan
50 papers receiving 429 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 155
- Artificial Intelligence 140
- Computational Theory and Mathematics 105
- Media Technology 83
- Geometry and Topology 81
Countries citing papers authored by Kannan Balakrishnan
This map shows the geographic impact of Kannan Balakrishnan'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 Kannan Balakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kannan Balakrishnan more than expected).
Fields of papers citing papers by Kannan Balakrishnan
This network shows the impact of papers produced by Kannan Balakrishnan. 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 Kannan Balakrishnan. The network helps show where Kannan Balakrishnan may publish in the future.
Co-authorship network of co-authors of Kannan Balakrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Kannan Balakrishnan. A scholar is included among the top collaborators of Kannan Balakrishnan 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 Kannan Balakrishnan. Kannan Balakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 25 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 18 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 28 | |
| 19 | 2 | |
| 20 | Median computation in graphs using consensus strategies | 1 |
About Kannan Balakrishnan
Kannan Balakrishnan is a scholar working on Human-Computer Interaction, Computational Theory and Mathematics and Signal Processing, having authored 55 papers that have together received 494 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (12 papers), Hand Gesture Recognition Systems (8 papers) and Complexity and Algorithms in Graphs (7 papers). The work is most often cited by research in Human-Computer Interaction (61 citations), Media Technology (83 citations) and Geometry and Topology (81 citations). Kannan Balakrishnan has collaborated with scholars based in India, Slovenia and Netherlands. Frequent co-authors include Manoj Changat, Sandi Klavžar, Boštjan Brešar, Iztok Peterin, Primož Šparl, Simon Špacapan, Aleksander Vesel, Henry Martyn Mulder, B.B. Chaudhuri and Joseph Suresh Paul. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Physica A Statistical Mechanics and its Applications.
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.