Vikas C. Raykar
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 1%
- Data Stream Mining Techniques
- AI in cancer detection
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
Papers in
-
- Machine Learning and Data Classification 6
- Gaussian Processes and Bayesian Inference 5
- Machine Learning and Algorithms 5
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- Speech and Audio Processing 12
- Music and Audio Processing 4
- Co-authors
- Ramani Duraiswami (20 shared papers)Shipeng Yu (5 shared papers)Linda Zhao (4 shared papers)Luca Bogoni (7 shared papers)Charles Florin (3 shared papers)Gerardo Hermosillo Valadez (2 shared papers)Linda Moy (2 shared papers)Balaji Krishnapuram (7 shared papers)
- Journals
- European Radiology (2 papers)The Journal of the Acoustical Society of America (2 papers)IEEE Transactions on Speech and Audio Processing (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Investigative Radiology (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Vikas C. Raykar
50 papers receiving 2.4k citations
Vikas C. Raykar's Hit Papers
Peers
Comparison fields: 5 of 153
- Computer Science Applications 686
- Artificial Intelligence 1.3k
- Signal Processing 428
- Computer Vision and Pattern Recognition 526
- Management Science and Operations Research 229
Countries citing papers authored by Vikas C. Raykar
This map shows the geographic impact of Vikas C. Raykar'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 Vikas C. Raykar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas C. Raykar more than expected).
Fields of papers citing papers by Vikas C. Raykar
This network shows the impact of papers produced by Vikas C. Raykar. 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 Vikas C. Raykar. The network helps show where Vikas C. Raykar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas C. Raykar, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning From Crowds Hit paper breakdown → | 2010 | 749 |
| 2 | 2009 | 265 | |
| 3 | 2011 | 168 | |
| 4 | Automatic online tuning for fast Gaussian summation | 2008 | 137 |
| 5 | 2006 | 136 | |
| 6 | 2004 | 128 | |
| 7 | On Ranking in Survival Analysis: Bounds on the Concordance Index | 2007 | 125 |
| 8 | 2008 | 106 | |
| 9 | 2005 | 83 | |
| 10 | 2010 | 59 | |
| 11 | Ranking annotators for crowdsourced labeling tasks | 2011 | 55 |
| 12 | 2020 | 44 | |
| 13 | 2005 | 39 | |
| 14 | 2010 | 38 | |
| 15 | 2004 | 33 | |
| 16 | Fast Computation of Sums of Gaussians in High Dimensions | 2005 | 27 |
| 17 | 2010 | 26 | |
| 18 | 2008 | 26 | |
| 19 | 2003 | 24 | |
| 20 | 2006 | 21 |
About Vikas C. Raykar
Vikas C. Raykar is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Computer Science Applications, having authored 51 papers that have together received 2.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (6 papers), Machine Learning and Data Classification (6 papers), Gaussian Processes and Bayesian Inference (5 papers), Machine Learning and Algorithms (5 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Music and Audio Processing (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Science Applications (686 citations), Artificial Intelligence (1.3k citations), Signal Processing (428 citations), Computer Vision and Pattern Recognition (526 citations) and Management Science and Operations Research (229 citations). Vikas C. Raykar has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Ramani Duraiswami, Shipeng Yu, Linda Zhao, Luca Bogoni, Charles Florin, Gerardo Hermosillo Valadez, Linda Moy, Balaji Krishnapuram, I. Kozintsev and Rainer Lienhart. Their work appears in journals such as European Radiology, The Journal of the Acoustical Society of America, IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Biomedical Engineering and Investigative Radiology.
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.