Parth Goel
Impact in
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- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Advanced Neural Network Applications
- Face and Expression Recognition
Papers in
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- Face and Expression Recognition 4
- Face recognition and analysis 4
- Advanced Neural Network Applications 3
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- Speech and dialogue systems 3
- Topic Modeling 3
- Co-authors
- Amit Ganatra (8 shared papers)Dweepna Garg (9 shared papers)Ketan Kotecha (3 shared papers)Sharnil Pandya (1 shared paper)Vijayakumar Varadarajan (1 shared paper)Bankim Patel (4 shared papers)Nitesh Pradhan (1 shared paper)Vijaypal Singh Dhaka (1 shared paper)
- Journals
- Big Data and Cognitive Computing (1 paper)Sensors (1 paper)IEEE Access (1 paper)PeerJ Computer Science (1 paper)Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (1 paper)
- Partner nations
- IndiaNetherlandsAustralia
In The Last Decade
Parth Goel
27 papers receiving 169 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 72
- Human-Computer Interaction 7
- Artificial Intelligence 38
- Media Technology 10
- Signal Processing 12
Countries citing papers authored by Parth Goel
This map shows the geographic impact of Parth Goel'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 Parth Goel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parth Goel more than expected).
Fields of papers citing papers by Parth Goel
This network shows the impact of papers produced by Parth Goel. 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 Parth Goel. The network helps show where Parth Goel may publish in the future.
Co-authors
The 15 scholars most cited alongside Parth Goel, 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 | 2018 | 57 | |
| 2 | 2023 | 14 | |
| 3 | 2021 | 10 | |
| 4 | 2023 | 9 | |
| 5 | 2021 | 9 | |
| 6 | 2021 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Parth Goel
Parth Goel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Plant Science and Social Psychology, having authored 36 papers that have together received 180 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Face and Expression Recognition (4 papers), Smart Agriculture and AI (4 papers), Face recognition and analysis (4 papers), Vehicle License Plate Recognition (3 papers), Advanced Neural Network Applications (3 papers), Speech and dialogue systems (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (72 citations), Human-Computer Interaction (7 citations), Artificial Intelligence (38 citations), Media Technology (10 citations) and Signal Processing (12 citations). Parth Goel has collaborated with scholars based in India, Netherlands and Australia. Frequent co-authors include Amit Ganatra, Dweepna Garg, Ketan Kotecha, Sharnil Pandya, Vijayakumar Varadarajan, Bankim Patel, Nitesh Pradhan, Vijaypal Singh Dhaka, Kirtan Patel and Vaibhav Singh. Their work appears in journals such as Big Data and Cognitive Computing, Sensors, IEEE Access, PeerJ Computer Science and Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization.
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.