Ajai Kumar
Impact in
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- Human Pose and Action Recognition
- Handwritten Text Recognition Techniques
- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
Papers in
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- Natural Language Processing Techniques 22
- Topic Modeling 13
- Anomaly Detection Techniques and Applications 4
- Speech Recognition and Synthesis 4
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- Handwritten Text Recognition Techniques 11
- Human Pose and Action Recognition 4
- Co-authors
- Deepti Mishra (4 shared papers)Manjari Gupta (4 shared papers)Hemant Darbari (15 shared papers)Vijeta Sharma (2 shared papers)Shikha Jain (3 shared papers)Ronak Shah (3 shared papers)Prabhujit Mohapatra (1 shared paper)Bhanu Sharma (1 shared paper)
In The Last Decade
Ajai Kumar
46 papers receiving 394 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 164
- Artificial Intelligence 219
- Human-Computer Interaction 28
- Health Informatics 5
- Media Technology 28
Countries citing papers authored by Ajai Kumar
This map shows the geographic impact of Ajai Kumar'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 Ajai Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajai Kumar more than expected).
Fields of papers citing papers by Ajai Kumar
This network shows the impact of papers produced by Ajai Kumar. 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 Ajai Kumar. The network helps show where Ajai Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajai Kumar, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 122 | |
| 2 | 2021 | 53 | |
| 3 | 2022 | 50 | |
| 4 | 2016 | 22 | |
| 5 | 2021 | 17 | |
| 6 | 2019 | 12 | |
| 7 | 2016 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2015 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2015 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2016 | 4 |
About Ajai Kumar
Ajai Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Media Technology, having authored 54 papers that have together received 417 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Topic Modeling (13 papers), Handwritten Text Recognition Techniques (11 papers), Vehicle License Plate Recognition (5 papers), Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers), Data Mining Algorithms and Applications (4 papers) and Speech Recognition and Synthesis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Artificial Intelligence (219 citations), Human-Computer Interaction (28 citations), Health Informatics (5 citations) and Media Technology (28 citations). Ajai Kumar has collaborated with scholars based in India, Norway and Canada. Frequent co-authors include Deepti Mishra, Manjari Gupta, Hemant Darbari, Vijeta Sharma, Shikha Jain, Ronak Shah, Vijeta Sharma, Prabhujit Mohapatra, Bhanu Sharma and Kedar Nath Das. Their work appears in journals such as Virtual Reality, IEEE Access, Applied Artificial Intelligence, Sensors and Information.
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.