Praveen Krishnan

36 total papers · 875 total citations
22 papers, 399 citations indexed

About

Praveen Krishnan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Praveen Krishnan has authored 22 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 2 papers in Mathematical Physics. Recurrent topics in Praveen Krishnan's work include Handwritten Text Recognition Techniques (16 papers), Natural Language Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Praveen Krishnan is often cited by papers focused on Handwritten Text Recognition Techniques (16 papers), Natural Language Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Praveen Krishnan collaborates with scholars based in India, United States and Netherlands. Praveen Krishnan's co-authors include C. V. Jawahar, Kartik Dutta, Minesh Mathew, V. Sowmya, K. P. Soman, Guan Pang, Tal Hassner, Xi Yin, Jing Huang and C. Balaji and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of Earth System Science.

In The Last Decade

Praveen Krishnan

22 papers receiving 379 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Praveen Krishnan 309 171 76 41 40 22 399
Jawad Hasan Alkhateeb 288 0.9× 139 0.8× 135 1.8× 8 0.2× 34 0.8× 27 361
Yaqiang Wu 285 0.9× 113 0.7× 95 1.3× 13 0.3× 9 0.2× 18 343
Ahmad T. Al‐Taani 174 0.6× 246 1.4× 48 0.6× 4 0.1× 11 0.3× 34 425
Robert Anderson 321 1.0× 57 0.3× 39 0.5× 5 0.1× 26 0.7× 18 384
Minesh Mathew 362 1.2× 215 1.3× 108 1.4× 3 0.1× 29 0.7× 13 425
Zhongqin Wu 264 0.9× 102 0.6× 74 1.0× 13 0.3× 4 0.1× 21 364
Prasenjit Dey 151 0.5× 152 0.9× 63 0.8× 5 0.1× 18 0.5× 24 353
J. Subrahmonia 365 1.2× 137 0.8× 36 0.5× 2 0.0× 52 1.3× 21 444
Sha Xin Wei 318 1.0× 115 0.7× 54 0.7× 3 0.1× 24 0.6× 20 391
Jiming Liu 236 0.8× 288 1.7× 44 0.6× 5 0.1× 7 0.2× 15 418

Countries citing papers authored by Praveen Krishnan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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