Pradeep M. Patil
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Artificial Intelligence top 10%
- Physiology
- Signal Processing top 10%
- Co-authors
- Varun AgrawalSatish R. KolheR. JayadevanMedha WyawahareUmapada PalJayant KulkarniU. V. KulkarniSuresh N. Mali
- Topics
- Image and Signal Denoising Methods (15 papers)Advanced Image Processing Techniques (15 papers)Neural Networks and Applications (11 papers)
- Journals
- Pattern RecognitionDigital Signal ProcessingInternational Journal on Document Analysis and Recognition (IJDAR)
- Partner nations
- IndiaCanadaUnited Kingdom
In The Last Decade
Pradeep M. Patil
70 papers receiving 937 citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 565
- Media Technology 236
- Artificial Intelligence 159
- Physiology 90
- Signal Processing 74
Countries citing papers authored by Pradeep M. Patil
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
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | Role of Physical Activity on Mental Health and Well-Being: A Reviewbreakdown → | 276 |
| 4 | 5 | |
| 5 | Low-Complexity Based Modified Image Super-Resolution Scheme by the Design of Dyadic Integer Coefficient Based Wavelet Filters | 1 |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | Identification of defective mangoes using Gabor wavelets: a non-destructive technique based on texture analysis. | 3 |
| 10 | 3 | |
| 11 | FINGERPRINT VERIFICATION USING STEERABLE FILTERS | 1 |
| 12 | 13 | |
| 13 | 2 | |
| 14 | Image Registration Techniques: An overview | 135 |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 23 | |
| 20 | 6 |
About Pradeep M. Patil
Pradeep M. Patil is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (15 papers), Advanced Image Processing Techniques (15 papers) and Neural Networks and Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (565 citations), Media Technology (236 citations) and Human-Computer Interaction (46 citations). Pradeep M. Patil has collaborated with scholars based in India, Canada and United Kingdom. Frequent 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 K. Naresh. Their work appears in journals such as Pattern Recognition, Digital Signal Processing and International Journal on Document Analysis and Recognition (IJDAR).
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.