Raviteja Vemulapalli
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Biomedical Engineering top 5%
- Human-Computer Interaction top 1%
- Control and Systems Engineering
- Co-authors
- Rama ChellappaOncel TuzelMing-Yu LiuJaishanker K. PillaiBradley GreenXiangyun ZhaoYing WuP. Mansfield
- Topics
- Human Pose and Action Recognition (4 papers)Gait Recognition and Analysis (3 papers)Hand Gesture Recognition Systems (3 papers)
- Journals
- Pattern Recognition LettersComputer Vision and Image UnderstandingIEEE Transactions on Automation Science and Engineering
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
Raviteja Vemulapalli
14 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 684
- Biomedical Engineering 682
- Human-Computer Interaction 393
- Control and Systems Engineering 57
Countries citing papers authored by Raviteja Vemulapalli
This map shows the geographic impact of Raviteja Vemulapalli'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 Raviteja Vemulapalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raviteja Vemulapalli more than expected).
Fields of papers citing papers by Raviteja Vemulapalli
This network shows the impact of papers produced by Raviteja Vemulapalli. 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 Raviteja Vemulapalli. The network helps show where Raviteja Vemulapalli may publish in the future.
Co-authorship network of co-authors of Raviteja Vemulapalli
This figure shows the co-authorship network connecting the top 25 collaborators of Raviteja Vemulapalli. A scholar is included among the top collaborators of Raviteja Vemulapalli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raviteja Vemulapalli. Raviteja Vemulapalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 32 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 118 | |
| 10 | 2 | |
| 11 | 36 | |
| 12 | 103 | |
| 13 | 125 | |
| 14 | 45 | |
| 15 | Human Action Recognition by Representing 3D Skeletons as Points in a Lie Groupbreakdown → | 1032 |
| 16 | 79 | |
| 17 | 7 |
About Raviteja Vemulapalli
Raviteja Vemulapalli is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Gait Recognition and Analysis (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (393 citations), Computer Vision and Pattern Recognition (1.4k citations) and Artificial Intelligence (684 citations). Raviteja Vemulapalli has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Rama Chellappa, Oncel Tuzel, Ming-Yu Liu, Jaishanker K. Pillai, Bradley Green, Xiangyun Zhao, Ying Wu, P. Mansfield, Boqing Gong and Lior Shapira. Their work appears in journals such as Pattern Recognition Letters, Computer Vision and Image Understanding and IEEE Transactions on Automation Science and Engineering.
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.