Vikas C. Raykar

3.9k total citations · 1 hit paper
46 papers, 2.3k 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 2.3k 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, Gerardo Hermosillo Valadez, Linda Moy, Charles Florin, 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning From Crowds

2010 650 citations Vikas C. Raykar, Shipeng Yu et al. Journal of Machine Learning Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vikas C. Raykar United States	19	1.2k	592	456	392	208	46	2.3k
Marius Kloft Germany	25	1.7k 1.5×	203 0.3×	998 2.2×	325 0.8×	147 0.7×	86	3.0k
Patrice Simard United States	25	1.5k 1.3×	80 0.1×	1.4k 3.0×	339 0.9×	198 1.0×	35	3.1k
Alexander Ihler United States	28	1.6k 1.4×	211 0.4×	529 1.2×	298 0.8×	631 3.0×	112	3.6k
Ali Rahimi United States	12	1.4k 1.2×	78 0.1×	1.0k 2.2×	244 0.6×	365 1.8×	37	2.6k
Qiang Liu China	26	1.4k 1.2×	84 0.1×	869 1.9×	390 1.0×	192 0.9×	164	2.8k
Afshin Rostamizadeh United States	21	1.5k 1.2×	49 0.1×	800 1.8×	144 0.4×	179 0.9×	34	2.6k
Roger Boyle United Kingdom	11	1.1k 0.9×	106 0.2×	1.7k 3.7×	180 0.5×	193 0.9×	42	4.4k
Genevieve Orr United States	8	777 0.7×	63 0.1×	550 1.2×	185 0.5×	182 0.9×	26	1.7k
Michael Georgiopoulos United States	25	1.2k 1.0×	75 0.1×	547 1.2×	658 1.7×	453 2.2×	213	3.0k
Hsuan-Tien Lin Taiwan	20	1.4k 1.2×	54 0.1×	754 1.7×	182 0.5×	133 0.6×	72	2.6k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mukherjee, Sumanta, et al.. (2020). Attention based Multi-Modal New Product Sales Time-series Forecasting. 3110–3118. 39 indexed citations

Bhattacharya, Indrani, et al.. (2019). Multimodal Dialog for Browsing Large Visual Catalogs using Exploration-Exploitation Paradigm in a Joint Embedding Space. 187–191. 2 indexed citations

Mirkin, Shachar, et al.. (2017). Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks. 548–552. 8 indexed citations

Raykar, Vikas C. & Priyanka Agrawal. (2014). {Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process}. International Conference on Artificial Intelligence and Statistics. 832–840. 15 indexed citations

Slonim, Noam, Ehud Aharoni, Carlos Alzate, et al.. (2014). Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. International Conference on Computational Linguistics. 6–9. 4 indexed citations

Mang, Thomas, Luca Bogoni, Anna S. Lev-Toaff, et al.. (2014). CT colonography: effect of computer-aided detection of colonic polyps as a second and concurrent reader for general radiologists with moderate experience in CT colonography. European Radiology. 24(7). 1466–1476. 10 indexed citations

Mang, Thomas, Gerardo Hermosillo, Matthias Wolf, et al.. (2012). Time-efficient CT colonography interpretation using an advanced image-gallery-based, computer-aided “first-reader” workflow for the detection of colorectal adenomas. European Radiology. 22(12). 2768–2779. 5 indexed citations

Liu, Meizhu, Le Lü, Jinbo Bi, et al.. (2011). Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. Lecture notes in computer science. 14(Pt 3). 75–82. 8 indexed citations

Dundar, M. Murat, Sunil Badve, Gökhan Bilgin, et al.. (2011). Computerized classification of intraductal breast lesions using histopathological images. IEEE Transactions on Biomedical Engineering. 58(7). 1977–1984. 155 indexed citations

10.

Mang, Thomas, Luca Bogoni, Marcos Salganicoff, et al.. (2011). Computer-Aided Detection of Colorectal Polyps in CT Colonography With and Without Fecal Tagging. Investigative Radiology. 47(2). 99–108. 17 indexed citations

11.

Raykar, Vikas C., Shipeng Yu, Linda Zhao, et al.. (2010). Learning From Crowds. Journal of Machine Learning Research. 11(43). 1297–1322. 650 indexed citations breakdown →

12.

Raykar, Vikas C., Ramani Duraiswami, & Balaji Krishnapuram. (2008). A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(7). 1158–1170. 24 indexed citations

13.

Morariu, Vlad I., B. Srinivasan, Vikas C. Raykar, Ramani Duraiswami, & Larry S. Davis. (2008). Automatic online tuning for fast Gaussian summation. 21. 1113–1120. 132 indexed citations

14.

Steck, Harald, Balaji Krishnapuram, Cary Oberije, Philippe Lambin, & Vikas C. Raykar. (2007). On Ranking in Survival Analysis: Bounds on the Concordance Index. 20. 1209–1216. 112 indexed citations

15.

Raykar, Vikas C. & Ramani Duraiswami. (2006). Very fast optimal bandwidth selection for univariate kernel density estimation. Digital Repository at the University of Maryland (University of Maryland College Park). 18 indexed citations

16.

Raykar, Vikas C., B. Yegnanarayana, S. R. Mahadeva Prasanna, & Ramani Duraiswami. (2005). Speaker localization using excitation source information in speech. IEEE Transactions on Speech and Audio Processing. 13(5). 751–761. 33 indexed citations

17.

Raykar, Vikas C. & Ramani Duraiswami. (2004). Automatic position calibration of multiple microphones. 4. iv–69. 32 indexed citations

18.

Raykar, Vikas C., Ramani Duraiswami, B. Yegnanarayana, & S. R. Mahadeva Prasanna. (2003). Tracking a moving speaker using excitation source information. 69–72. 3 indexed citations

19.

Zotkin, Dmitry N., et al.. (2003). Virtual audio system customization using visual matching of ear parameters. 3. 1003–1006. 13 indexed citations

20.

Raykar, Vikas C., Ramani Duraiswami, Larry S. Davis, & B. Yegnanarayana. (2003). EXTRACTING SIGNIFICANT FEATURES FROM THE HRTF. SMARTech Repository (Georgia Institute of Technology). 8 indexed citations

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.

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