Vikas C. Raykar

76 total papers · 3.9k total citations
46 papers, 2.2k citations indexed

About

Vikas C. Raykar is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vikas C. Raykar has authored 46 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 16 papers in Signal Processing and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vikas C. Raykar's work include Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (6 papers) and Machine Learning and Data Classification (6 papers). Vikas C. Raykar is often cited by papers focused on Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (6 papers) and Machine Learning and Data Classification (6 papers). Vikas C. Raykar collaborates with scholars based in United States, Germany and India. Vikas C. Raykar's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of the Acoustical Society of America and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Vikas C. Raykar

45 papers receiving 2.1k citations

Hit Papers

Learning From Crowds 2010 2026 2015 2020 2010 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vikas C. Raykar 1.2k 591 454 391 207 46 2.2k
Sumit Basu 658 0.6× 270 0.5× 695 1.5× 347 0.9× 56 0.3× 68 1.7k
Marius Kloft 1.7k 1.5× 201 0.3× 990 2.2× 324 0.8× 147 0.7× 85 2.9k
Genevieve Orr 1.4k 1.2× 72 0.1× 918 2.0× 289 0.7× 344 1.7× 27 3.3k
Patrice Simard 1.5k 1.3× 77 0.1× 1.4k 3.0× 339 0.9× 197 1.0× 35 3.1k
Kian Ming A. Chai 1.7k 1.4× 81 0.1× 789 1.7× 226 0.6× 122 0.6× 20 3.1k
Luca Bogoni 852 0.7× 600 1.0× 375 0.8× 73 0.2× 57 0.3× 44 1.8k
Ohad Shamir 2.0k 1.7× 171 0.3× 503 1.1× 169 0.4× 187 0.9× 69 2.7k
Ali Rahimi 1.4k 1.2× 78 0.1× 1.0k 2.2× 243 0.6× 365 1.8× 37 2.6k
Yan Yan 760 0.6× 149 0.3× 1.1k 2.5× 232 0.6× 71 0.3× 88 2.0k
Jinfeng Yi 1.9k 1.6× 99 0.2× 717 1.6× 352 0.9× 153 0.7× 58 2.5k

Countries citing papers authored by Vikas C. Raykar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vikas C. Raykar

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas C. Raykar. A scholar is included among the top collaborators of Vikas C. Raykar 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 Vikas C. Raykar. Vikas C. Raykar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026