Nilesh Uke
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
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- Vehicle License Plate Recognition
Papers in
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- Video Surveillance and Tracking Methods 9
- Advanced Image and Video Retrieval Techniques 4
- Video Analysis and Summarization 4
- Currency Recognition and Detection 3
- Co-authors
- Ravindra C. Thool (5 shared papers)Hemant B. Mahajan (5 shared papers)Pravin Futane (5 shared papers)Deepak Dharrao (2 shared papers)Sunil L. Bangare (1 shared paper)Neeta Deshpande (1 shared paper)Swati Jadhav (1 shared paper)Milind Rane (1 shared paper)
In The Last Decade
Nilesh Uke
25 papers receiving 147 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 65
- Media Technology 19
- Human-Computer Interaction 8
- Building and Construction 19
- Automotive Engineering 15
Countries citing papers authored by Nilesh Uke
This map shows the geographic impact of Nilesh Uke'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 Uke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilesh Uke more than expected).
Fields of papers citing papers by Nilesh Uke
This network shows the impact of papers produced by Nilesh Uke. 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 Uke. The network helps show where Nilesh Uke may publish in the future.
Co-authors
The 14 scholars most cited alongside Nilesh Uke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 42 | |
| 2 | 2022 | 36 | |
| 3 | 2021 | 15 | |
| 4 | 2023 | 11 | |
| 5 | Implementation of Abandoned Object Detection in Real Time Environment | 2012 | 8 |
| 6 | 2019 | 7 | |
| 7 | 2016 | 6 | |
| 8 | 2015 | 5 | |
| 9 | 2013 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2016 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2012 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2016 | 1 |
About Nilesh Uke
Nilesh Uke is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Media Technology, Artificial Intelligence and Computer Networks and Communications, having authored 36 papers that have together received 169 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Vehicle License Plate Recognition (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Analysis and Summarization (4 papers), Currency Recognition and Detection (3 papers), IoT and Edge/Fog Computing (3 papers), Brain Tumor Detection and Classification (2 papers) and Innovative Teaching Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (65 citations), Media Technology (19 citations), Human-Computer Interaction (8 citations), Building and Construction (19 citations) and Automotive Engineering (15 citations). Nilesh Uke has collaborated with scholars based in India, Iraq and Jordan. Frequent co-authors include Ravindra C. Thool, Hemant B. Mahajan, Pravin Futane, Deepak Dharrao, Sunil L. Bangare, Neeta Deshpande, Swati Jadhav, Milind Rane, Sohel Shaikh and Deepak Mane. Their work appears in journals such as The Imaging Science Journal, International Journal of Speech Technology, Multimedia Tools and Applications, Multiagent and Grid Systems and Microprocessors and Microsystems.
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.