Dulari Bhatt
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
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- Industrial Vision Systems and Defect Detection
Papers in
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- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 2
- Advanced Image and Video Retrieval Techniques 1
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- Brain Tumor Detection and Classification 1
- Co-authors
- Chirag Patel (4 shared papers)Kirit Modi (2 shared papers)Sharnil Pandya (2 shared papers)Hemant Ghayvat (2 shared papers)Jigar Patel (1 shared paper)Shubhankar Majumdar (1 shared paper)Muhammad Ahmed Khan (1 shared paper)Syed Aziz Shah (1 shared paper)
- Journals
- Sensors (1 paper)Electronics (1 paper)International Journal of Advanced Computer Science and Applications (1 paper)
- Partner nations
- IndiaSwedenUnited Kingdom
In The Last Decade
Dulari Bhatt
3 papers receiving 547 citations
Dulari Bhatt's Hit Papers
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 179
- Industrial and Manufacturing Engineering 48
- Media Technology 41
- Artificial Intelligence 150
- Health Informatics 4
Countries citing papers authored by Dulari Bhatt
This map shows the geographic impact of Dulari Bhatt'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 Dulari Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dulari Bhatt more than expected).
Fields of papers citing papers by Dulari Bhatt
This network shows the impact of papers produced by Dulari Bhatt. 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 Dulari Bhatt. The network helps show where Dulari Bhatt may publish in the future.
Co-authors
The 11 scholars most cited alongside Dulari Bhatt, 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 | CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope Hit paper breakdown → | 2021 | 513 |
| 2 | 2022 | 45 | |
| 3 | INTELLIGENT FARM SURVEILLANCE SYSTEM FOR BIRD DETECTION | 2012 | 3 |
| 4 | 2023 | 1 |
About Dulari Bhatt
Dulari Bhatt is a scholar working on Computer Vision and Pattern Recognition, Neurology, Food Science, Plant Science and Infectious Diseases, having authored 4 papers that have together received 562 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Brain Tumor Detection and Classification (1 paper), Smart Agriculture and AI (1 paper) and Food Supply Chain Traceability (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (179 citations), Industrial and Manufacturing Engineering (48 citations), Media Technology (41 citations), Artificial Intelligence (150 citations) and Health Informatics (4 citations). Dulari Bhatt has collaborated with scholars based in India, Sweden and United Kingdom. Frequent co-authors include Chirag Patel, Kirit Modi, Sharnil Pandya, Hemant Ghayvat, Jigar Patel, Shubhankar Majumdar, Muhammad Ahmed Khan, Syed Aziz Shah, Mohd Zuhair and Priyanka Sharma. Their work appears in journals such as Sensors, Electronics and International Journal of Advanced Computer Science and Applications.
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.