Nilesh Patel
- Signal Processing top 2%
- Video Coding and Compression Technologies 6
- Music and Audio Processing 3
-
- Video Analysis and Summarization 9
- Advanced Vision and Imaging 9
- Advanced Image and Video Retrieval Techniques 5
- Advanced Image Processing Techniques 4
- General Dentistry top 10%
-
- Gene expression and cancer classification 4
-
- Data Mining Algorithms and Applications 3
- Co-authors
- Ishwar K. SethiMahdi KhosravyNeeraj GuptaSunil Kumar JhaOm Prakash MahelaAnju JhaHan ZhangVincent W. Yang
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionEnergy Engineering and Power Technology
- Journals
- SHILAP Revista de lepidopterología (1 paper)Renewable and Sustainable Energy Reviews (1 paper)IEEE Access (2 papers)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Nilesh Patel
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 148
- Signal Processing 345
- Computer Vision and Pattern Recognition 464
- Energy Engineering and Power Technology 54
- General Dentistry 20
- Control and Systems Engineering 242
Countries citing papers authored by Nilesh Patel
This map shows the geographic impact of Nilesh 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 Nilesh Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilesh Patel more than expected).
Fields of papers citing papers by Nilesh Patel
This network shows the impact of papers produced by Nilesh 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 Nilesh Patel. The network helps show where Nilesh Patel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nilesh Patel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2021 | 9 | |
| 3 | 2021 | 89 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 16 | |
| 6 | 2020 | 69 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 168 | |
| 9 | 2019 | 23 | |
| 10 | 2018 | 31 | |
| 11 | 2018 | 32 | |
| 12 | 2015 | 1 | |
| 13 | 2015 | 0 | |
| 14 | 2014 | 7 | |
| 15 | 2013 | 10 | |
| 16 | GENE ONTOLOGY BASED SIMULATION FOR FEATURE SELECTION | 2011 | 1 |
| 17 | 2010 | 45 | |
| 18 | Understanding Digital Signatures | 2003 | 3 |
| 19 | Video segmentation for video data management | 1997 | 8 |
| 20 | 1996 | 45 |
About Nilesh Patel
Nilesh Patel is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Health Informatics, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Video Analysis and Summarization (9 papers), Advanced Vision and Imaging (9 papers), Video Coding and Compression Technologies (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Gene expression and cancer classification (4 papers), Advanced Image Processing Techniques (4 papers), Data Mining Algorithms and Applications (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (345 citations), Computer Vision and Pattern Recognition (464 citations) and Energy Engineering and Power Technology (54 citations). Nilesh Patel has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Ishwar K. Sethi, Mahdi Khosravy, Neeraj Gupta, Sunil Kumar Jha, Om Prakash Mahela, Anju Jha, Han Zhang, Vincent W. Yang, Mandayam O. Nandan and Amr M. Ghaleb. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and IEEE Access.
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.