Pradeep M. Patil

115 total papers · 1.7k total citations
78 papers, 1.1k citations indexed

About

Pradeep M. Patil is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Pradeep M. Patil has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 14 papers in Signal Processing. Recurrent topics in Pradeep M. Patil's work include Advanced Image Processing Techniques (15 papers), Image and Signal Denoising Methods (15 papers) and Neural Networks and Applications (11 papers). Pradeep M. Patil is often cited by papers focused on Advanced Image Processing Techniques (15 papers), Image and Signal Denoising Methods (15 papers) and Neural Networks and Applications (11 papers). Pradeep M. Patil collaborates with scholars based in India, United States and Canada. Pradeep M. Patil's co-authors include Varun Agrawal, Satish R. Kolhe, R. Jayadevan, Medha Wyawahare, Umapada Pal, Jayant Kulkarni, U. V. Kulkarni, Suresh N. Mali, Umapada Pal and G. Madhu Sudana Reddy and has published in prestigious journals such as Pattern Recognition, Digital Signal Processing and International Journal on Document Analysis and Recognition (IJDAR).

In The Last Decade

Pradeep M. Patil

69 papers receiving 910 citations

Hit Papers

Role of Physical Activity... 2023 2026 2024 2023 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Pradeep M. Patil 563 236 159 82 74 78 1.1k
Sangkeun Lee 595 1.1× 214 0.9× 85 0.5× 16 0.2× 58 0.8× 101 1.2k
Rachel King 488 0.9× 66 0.3× 114 0.7× 76 0.9× 47 0.6× 54 1.3k
Sun Li 410 0.7× 154 0.7× 211 1.3× 45 0.5× 128 1.7× 95 1.2k
Anastasios Delopoulos 502 0.9× 31 0.1× 146 0.9× 79 1.0× 167 2.3× 102 1.1k
Hamurabi Gamboa-Rosales 260 0.5× 67 0.3× 237 1.5× 17 0.2× 102 1.4× 112 1.2k
Lu Bai 183 0.3× 121 0.5× 145 0.9× 17 0.2× 36 0.5× 133 1.1k
Carlos Medrano 738 1.3× 51 0.2× 218 1.4× 19 0.2× 29 0.4× 67 1.5k
Yan Shen 485 0.9× 112 0.5× 294 1.8× 17 0.2× 47 0.6× 77 1.0k
Kévin Bouchard 492 0.9× 73 0.3× 179 1.1× 18 0.2× 51 0.7× 109 1.2k
Mitch Wilkes 432 0.8× 65 0.3× 215 1.4× 66 0.8× 253 3.4× 21 945

Countries citing papers authored by Pradeep M. Patil

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep M. Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep M. Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep M. Patil. A scholar is included among the top collaborators of Pradeep M. 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 Pradeep M. Patil. Pradeep M. Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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