Praveen Krishnan
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Computer Science Applications top 10%
- Human-Computer Interaction top 10%
- Co-authors
- C. V. JawaharKartik DuttaMinesh MathewV. SowmyaK. P. SomanTal HassnerGuan PangKevin J Liang
- Topics
- Handwritten Text Recognition Techniques (16 papers)Natural Language Processing Techniques (9 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionJournal of Earth System Science
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Praveen Krishnan
22 papers receiving 384 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 312
- Artificial Intelligence 171
- Media Technology 77
- Computer Science Applications 41
- Human-Computer Interaction 40
Countries citing papers authored by Praveen Krishnan
This map shows the geographic impact of Praveen Krishnan'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 Praveen Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Praveen Krishnan more than expected).
Fields of papers citing papers by Praveen Krishnan
This network shows the impact of papers produced by Praveen Krishnan. 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 Praveen Krishnan. The network helps show where Praveen Krishnan may publish in the future.
Co-authorship network of co-authors of Praveen Krishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Praveen Krishnan. A scholar is included among the top collaborators of Praveen Krishnan 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 Praveen Krishnan. Praveen Krishnan 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 | 3 | |
| 3 | 21 | |
| 4 | 1 | |
| 5 | 24 | |
| 6 | 4 | |
| 7 | 31 | |
| 8 | 45 | |
| 9 | 13 | |
| 10 | 87 | |
| 11 | 12 | |
| 12 | 45 | |
| 13 | 6 | |
| 14 | 13 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 9 | |
| 20 | 12 |
About Praveen Krishnan
Praveen Krishnan is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Human-Computer Interaction, having authored 22 papers that have together received 402 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (16 papers), Natural Language Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (312 citations), Media Technology (77 citations) and Computer Science Applications (41 citations). Praveen Krishnan has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include C. V. Jawahar, Kartik Dutta, Minesh Mathew, V. Sowmya, K. P. Soman, Tal Hassner, Guan Pang, Kevin J Liang, C. Balaji and Ajeet Kumar Singh. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of Earth System Science.
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.