Shiv Vitaladevuni
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 2%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Dmitri B. ChklovskiiLouis K. SchefferRohit PrasadSankaran PanchapagesanViktor RozgićPrem NatarajanSpyros MatsoukasRonen Basri
- Topics
- Music and Audio Processing (9 papers)Speech Recognition and Synthesis (9 papers)Speech and Audio Processing (5 papers)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Shiv Vitaladevuni
29 papers receiving 967 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 368
- Computer Vision and Pattern Recognition 344
- Signal Processing 255
- Cognitive Neuroscience 210
- Cellular and Molecular Neuroscience 161
Countries citing papers authored by Shiv Vitaladevuni
This map shows the geographic impact of Shiv Vitaladevuni'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 Shiv Vitaladevuni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiv Vitaladevuni more than expected).
Fields of papers citing papers by Shiv Vitaladevuni
This network shows the impact of papers produced by Shiv Vitaladevuni. 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 Shiv Vitaladevuni. The network helps show where Shiv Vitaladevuni may publish in the future.
Co-authorship network of co-authors of Shiv Vitaladevuni
This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Vitaladevuni. A scholar is included among the top collaborators of Shiv Vitaladevuni 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 Shiv Vitaladevuni. Shiv Vitaladevuni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 16 | |
| 4 | 71 | |
| 5 | 5 | |
| 6 | 89 | |
| 7 | 50 | |
| 8 | 14 | |
| 9 | 10 | |
| 10 | 90 | |
| 11 | Automatic Detection of Psychological Distress Indicators and Severity Assessment from Online Forum Posts | 17 |
| 12 | BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems. | 13 |
| 13 | 132 | |
| 14 | 4 | |
| 15 | BBN VISER TRECVID 2011 Multimedia Event Detection System | 25 |
| 16 | 137 | |
| 17 | 16 | |
| 18 | 123 | |
| 19 | 38 | |
| 20 | 38 |
About Shiv Vitaladevuni
Shiv Vitaladevuni is a scholar working on Structural Biology, Aging and Signal Processing, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Music and Audio Processing (9 papers), Speech Recognition and Synthesis (9 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Structural Biology (51 citations), Signal Processing (255 citations) and Biophysics (100 citations). Shiv Vitaladevuni has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Dmitri B. Chklovskii, Louis K. Scheffer, Rohit Prasad, Sankaran Panchapagesan, Viktor Rozgić, Prem Natarajan, Spyros Matsoukas, Ronen Basri, Ming Sun and Björn Hoffmeister. Their work appears in journals such as Current Biology, Current Opinion in Neurobiology and IEEE Transactions on Medical Imaging.
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.