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
- Machine Learning and Algorithms 5
- Gaussian Processes and Bayesian Inference 5
-
- Speech and Audio Processing 12
- Music and Audio Processing 4
- Co-authors
- Ramani Duraiswami (19 shared papers)Shipeng Yu (5 shared papers)Linda Zhao (4 shared papers)Luca Bogoni (6 shared papers)Linda Moy (2 shared papers)Charles Florin (2 shared papers)Gerardo Hermosillo Valadez (2 shared papers)Balaji Krishnapuram (6 shared papers)
- Journals
- European Radiology (2 papers)IEEE Transactions on Speech and Audio Processing (2 papers)The Journal of the Acoustical Society of America (2 papers)Investigative Radiology (1 paper)Journal of Computational and Graphical Statistics (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Vikas C. Raykar
45 papers receiving 2.1k citations
Vikas C. Raykar's Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Science Applications 592
- Artificial Intelligence 1.2k
- Signal Processing 392
- Computer Vision and Pattern Recognition 456
- Management Science and Operations Research 198
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning From Crowds Hit paper breakdown → | 2010 | 650 |
| 2 | 2009 | 232 | |
| 3 | 2011 | 155 | |
| 4 | Automatic online tuning for fast Gaussian summation | 2008 | 132 |
| 5 | 2006 | 132 | |
| 6 | 2004 | 122 | |
| 7 | On Ranking in Survival Analysis: Bounds on the Concordance Index | 2007 | 112 |
| 8 | 2008 | 90 | |
| 9 | 2005 | 72 | |
| 10 | 2010 | 57 | |
| 11 | Ranking annotators for crowdsourced labeling tasks | 2011 | 51 |
| 12 | 2020 | 39 | |
| 13 | 2010 | 35 | |
| 14 | 2005 | 33 | |
| 15 | 2004 | 32 | |
| 16 | 2010 | 25 | |
| 17 | 2008 | 24 | |
| 18 | 2003 | 23 | |
| 19 | Fast Computation of Sums of Gaussians in High Dimensions | 2005 | 23 |
| 20 | Very fast optimal bandwidth selection for univariate kernel density estimation | 2006 | 18 |
About Vikas C. Raykar
Vikas C. Raykar is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (12 papers), Machine Learning and Data Classification (6 papers), Advanced Adaptive Filtering Techniques (6 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Machine Learning and Algorithms (5 papers), Gaussian Processes and Bayesian Inference (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Computer Science Applications (592 citations), Artificial Intelligence (1.2k citations), Signal Processing (392 citations), Computer Vision and Pattern Recognition (456 citations) and Management Science and Operations Research (198 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, Linda Moy, Charles Florin, Gerardo Hermosillo Valadez, Balaji Krishnapuram, Rainer Lienhart and I. Kozintsev. Their work appears in journals such as European Radiology, IEEE Transactions on Speech and Audio Processing, The Journal of the Acoustical Society of America, Investigative Radiology and Journal of Computational and Graphical Statistics.
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.