Prashant W. Patil

40 total papers · 897 total citations
27 papers, 565 citations indexed

About

Prashant W. Patil is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Prashant W. Patil has authored 27 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Prashant W. Patil's work include Image Enhancement Techniques (19 papers), Video Surveillance and Tracking Methods (15 papers) and Advanced Image Processing Techniques (10 papers). Prashant W. Patil is often cited by papers focused on Image Enhancement Techniques (19 papers), Video Surveillance and Tracking Methods (15 papers) and Advanced Image Processing Techniques (10 papers). Prashant W. Patil collaborates with scholars based in India, Australia and Ireland. Prashant W. Patil's co-authors include Subrahmanyam Murala, Akshay Dudhane, Praful Hambarde, Sunil Gupta, Abhinav Dhall, Anil Balaji Gonde, Santu Rana, Svetha Venkatesh, Uday Kulkarni and Sanjay N. Talbar and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Vehicular Technology.

In The Last Decade

Prashant W. Patil

25 papers receiving 530 citations

Author Peers

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

Author Last Decade Papers Cites
Prashant W. Patil 526 131 44 28 17 27 565
Wei‐Ting Chen 470 0.9× 176 1.3× 22 0.5× 62 2.2× 16 0.9× 25 540
Yuning Cui 477 0.9× 231 1.8× 35 0.8× 22 0.8× 42 2.5× 32 617
Rajeev Yasarla 536 1.0× 183 1.4× 47 1.1× 32 1.1× 14 0.8× 19 604
Xi Zhao 297 0.6× 308 2.4× 32 0.7× 20 0.7× 35 2.1× 27 612
Chia-Hung Yeh 472 0.9× 93 0.7× 31 0.7× 21 0.8× 13 0.8× 30 563
Hui Qian 511 1.0× 251 1.9× 41 0.9× 59 2.1× 16 0.9× 17 588
Jun Miao 377 0.7× 53 0.4× 73 1.7× 33 1.2× 49 2.9× 28 496
Jiandong Tian 473 0.9× 149 1.1× 26 0.6× 20 0.7× 28 1.6× 31 539
Zhifang Xia 368 0.7× 137 1.0× 38 0.9× 90 3.2× 19 1.1× 17 579
Huajun Zhou 514 1.0× 90 0.7× 48 1.1× 12 0.4× 62 3.6× 19 605

Countries citing papers authored by Prashant W. Patil

Since Specialization
Citations

This map shows the geographic impact of Prashant W. Patil'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 Prashant W. Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant W. Patil more than expected).

Fields of papers citing papers by Prashant W. Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant W. Patil. 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 Prashant W. Patil. The network helps show where Prashant W. Patil may publish in the future.

Co-authorship network of co-authors of Prashant W. Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant W. Patil. A scholar is included among the top collaborators of Prashant W. Patil 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 Prashant W. Patil. Prashant W. Patil 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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