Sujith Ravi

24 papers receiving 745 citations

Peers

Sujith Ravi
Comparison fields: 5 of 81
  • Artificial Intelligence 498
  • Information Systems 177
  • Computer Networks and Communications 159
  • Computational Theory and Mathematics 119
  • Computer Vision and Pattern Recognition 104
Replace H. James Hoover with:
H. James Hoover Canada
Yasuhiko Morimoto Japan
Nieves R. Brisaboa Spain
Leland L. Beck United States
Maya Ramanath Germany
E. Koutsofios United States
Yannis C. Stamatiou Greece
Mauro Sozio France
Panayiotis Bozanis Greece
Andrew Fish United Kingdom
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Countries citing papers authored by Sujith Ravi

Since Specialization
Citations

This map shows the geographic impact of Sujith Ravi'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 Sujith Ravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujith Ravi more than expected).

Fields of papers citing papers by Sujith Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujith Ravi. 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 Sujith Ravi. The network helps show where Sujith Ravi may publish in the future.

Co-authorship network of co-authors of Sujith Ravi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 89
2 15
3
Great Question! Question Quality in Community Q&A
32
4 24
5 136
6
Scalable Decipherment for Machine Translation via Hash Sampling
14
7
FastEx: Hash Clustering with Exponential Families
9
8
Bayesian Inference for Finite-State Transducers
15
9
Fast, Greedy Model Minimization for Unsupervised Tagging
7
10
Minimized Models and Grammar-Informed Initialization for Supertagging with Highly Ambiguous Lexicons
8
11 30
12 27
13 29
14 37
15 26
16 9
17 12
18 172
19 7
20 9

About Sujith Ravi

Sujith Ravi is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 24 papers that have together received 809 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Artificial Intelligence (498 citations) and Computer Science Applications (50 citations). Sujith Ravi has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ian Davidson, Amr Ahmed, Alexander J. Smola, Harry B. Hunt, Daniel J. Rosenkrantz, Kevin Knight, Madhav Marathe, Venkatesh Babu Radhakrishnan, Richard E. Stearns and Andrew McCallum. Their work appears in journals such as IEEE Transactions on Computers, Theoretical Computer Science and Journal of Algorithms.

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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