Rajat Raina is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing.
According to data from OpenAlex, Rajat Raina has authored 11 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Rajat Raina's work include Machine Learning and Algorithms (4 papers), Machine Learning and Data Classification (3 papers) and Speech and Audio Processing (2 papers). Rajat Raina is often cited by papers focused on Machine Learning and Algorithms (4 papers), Machine Learning and Data Classification (3 papers) and Speech and Audio Processing (2 papers). Rajat Raina collaborates with scholars based in United States and France. Rajat Raina's co-authors include Andrew Y. Ng, Honglak Lee, Alexis Battle, Anand Madhavan, Daphne Koller, Andrew McCallum, Roger Grosse, Christopher D. Manning, Alex Teichman and Chi Wang and has published in prestigious journals such as Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)), International Joint Conference on Artificial Intelligence and National Conference on Artificial Intelligence.
In The Last Decade
Rajat Raina
10 papers
receiving
1.9k citations
Hit Papers
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.
Self-taught learning
20071.0k citationsRajat Raina, Alexis Battle et al.profile →
Large-scale deep unsupervised learning using graphics processors
2009421 citationsRajat Raina, Anand Madhavan et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Rajat Raina'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 Rajat Raina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajat Raina more than expected).
This network shows the impact of papers produced by Rajat Raina. 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 Rajat Raina. The network helps show where Rajat Raina may publish in the future.
Co-authorship network of co-authors of Rajat Raina
This figure shows the co-authorship network connecting the top 25 collaborators of Rajat Raina.
A scholar is included among the top collaborators of Rajat Raina 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 Rajat Raina. Rajat Raina is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lee, Honglak, Rajat Raina, Alex Teichman, & Andrew Y. Ng. (2009). Exponential family sparse coding with applications to self-taught learning. International Joint Conference on Artificial Intelligence. 1113–1119.47 indexed citations
4.
Raina, Rajat, Anand Madhavan, & Andrew Y. Ng. (2009). Large-scale deep unsupervised learning using graphics processors. 873–880.421 indexed citations breakdown →
5.
Ng, Andrew Y. & Rajat Raina. (2009). Self-taught learning.14 indexed citations
6.
Grosse, Roger, et al.. (2007). Shift-invariant sparse coding for audio classification. Uncertainty in Artificial Intelligence. 149–158.116 indexed citations
Raina, Rajat, Andrew Y. Ng, & Christopher D. Manning. (2005). Robust textual inference via learning and abductive reasoning. National Conference on Artificial Intelligence. 1099–1105.41 indexed citations
10.
Raina, Rajat, Aria Haghighi, Christopher Cox, et al.. (2005). Robust Textual Inference using Diverse Knowledge Sources. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).22 indexed citations
11.
Raina, Rajat, et al.. (2003). Classification with Hybrid Generative/Discriminative Models. Scholarworks (University of Massachusetts Amherst). 16. 545–552.142 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
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