Vinal Patel

837 citations
39 papers · 578 · h-index 15

Impact in

Papers in

Vinal Patel

36 papers receiving 568 citations

Peers

Vinal Patel
Comparison fields: 5 of 59
  • Signal Processing 351
  • Computational Mechanics 404
  • Computational Mathematics 7
  • Microbiology 36
  • Computer Vision and Pattern Recognition 77
Replace Iman Ardekani with:
Iman Ardekani New Zealand
Omid Taheri Canada
Akihiko Sugiyama Japan
Thomas Hélie France
Jyri Pakarinen Finland
Balázs Bank Hungary
Malcolm J. Hawksford United Kingdom
Kenta Niwa Japan
Ernst Warsitz Germany
Vinal Patel relative to Iman Ardekani New Zealand Iman Ardekani's profile →
Citations per field
00.5×2.9×
Iman Ardekani · 1×
Citations per year

Countries citing papers authored by Vinal Patel

Since Specialization
Citations

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

Fields of papers citing papers by Vinal Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinal Patel. 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 Vinal Patel. The network helps show where Vinal Patel may publish in the future.

Co-authors

The 25 scholars most cited alongside Vinal Patel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vinal Patel Line = papers co-authored together Vinal Patel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201689
2 201875
3 201537
4 201931
5 201930
6 202126
7 201726
8 201725
9 201925
10 202323
11 201721
12 202020
13 201519
14 202218
15 202214
16 201713
17 201510
18 201710
19 20169
20 20168

About Vinal Patel

Vinal Patel is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 39 papers that have together received 578 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (24 papers), Speech and Audio Processing (20 papers), Blind Source Separation Techniques (10 papers), Acoustic Wave Phenomena Research (7 papers), Control Systems and Identification (4 papers), Image and Signal Denoising Methods (4 papers), Neural Networks and Applications (4 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (351 citations), Computational Mechanics (404 citations), Computational Mathematics (7 citations), Microbiology (36 citations) and Computer Vision and Pattern Recognition (77 citations). Vinal Patel has collaborated with scholars based in India, United Kingdom and Germany. Frequent co-authors include Nithin V. George, Jordan Cheer, Sankha Subhra Bhattacharjee, Simone Fontana, Poonam Pandey, Sairam S. Mallajosyula, Mads Græsbøll Christensen, Debanjan Sadhya, Michele Scarpiniti and Danilo Comminiello. Their work appears in journals such as Applied Acoustics, Signal Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America and IEEE Signal Processing Letters.

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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