Deep Kothadiya
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
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- Hearing Impairment and Communication
Papers in
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- Human Pose and Action Recognition 2
- Co-authors
- Chintan Bhatt (7 shared papers)Ana Belén Gil González (1 shared paper)Juan M. Corchado (1 shared paper)Tanzila Saba (3 shared papers)Amjad Rehman (4 shared papers)Saeed Ali Bahaj (1 shared paper)Faten S. Alamri (2 shared papers)Samir Patel (1 shared paper)
- Journals
- IEEE Access (3 papers)Biochemistry and Cell Biology (1 paper)Electronics (1 paper)Computer (1 paper)Microscopy Research and Technique (1 paper)
- Partner nations
- IndiaSaudi ArabiaRomania
In The Last Decade
Deep Kothadiya
9 papers receiving 201 citations
Peers
Comparison fields: 5 of 40
- Human-Computer Interaction 159
- Developmental and Educational Psychology 104
- Computer Vision and Pattern Recognition 75
- Health Informatics 3
- Biomedical Engineering 75
Countries citing papers authored by Deep Kothadiya
This map shows the geographic impact of Deep Kothadiya'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 Deep Kothadiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep Kothadiya more than expected).
Fields of papers citing papers by Deep Kothadiya
This network shows the impact of papers produced by Deep Kothadiya. 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 Deep Kothadiya. The network helps show where Deep Kothadiya may publish in the future.
Co-authors
The 13 scholars most cited alongside Deep Kothadiya, 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 | 2022 | 110 | |
| 2 | 2023 | 49 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2024 | 6 | |
| 8 | 2020 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2026 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2024 | 0 |
About Deep Kothadiya
Deep Kothadiya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 223 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (4 papers), Hearing Impairment and Communication (2 papers), COVID-19 diagnosis using AI (2 papers), Gait Recognition and Analysis (2 papers), Human Pose and Action Recognition (2 papers), Forensic Fingerprint Detection Methods (1 paper), Cell Image Analysis Techniques (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Human-Computer Interaction (159 citations), Developmental and Educational Psychology (104 citations), Computer Vision and Pattern Recognition (75 citations), Health Informatics (3 citations) and Biomedical Engineering (75 citations). Deep Kothadiya has collaborated with scholars based in India, Saudi Arabia and Romania. Frequent co-authors include Chintan Bhatt, Ana Belén Gil González, Juan M. Corchado, Tanzila Saba, Amjad Rehman, Saeed Ali Bahaj, Faten S. Alamri, Samir Patel, Sidra Abbas and Pier Luigi Mazzeo. Their work appears in journals such as IEEE Access, Biochemistry and Cell Biology, Electronics, Computer and Microscopy Research and Technique.
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.