2026 Salim Roukos: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	51	5192	5049	2383	2302	173	34408

Salim Roukos publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Salim Roukos sits on this spectrum.

32 publications 991+

This scientist: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Salim Roukos D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Salim Roukos sits on this spectrum.

30 D-Index 131+

This scientist: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Salim Roukos is affiliated with IBM in the United States and has made contributions primarily to the field of Computer Science, with a particular focus on Artificial Intelligence. Their work spans various subfields including Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering, and Management Science and Operations Research.

The scientist's research covers several key topics, most notably:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Semantic Web and Ontologies
Text Readability and Simplification
Machine Learning in Bioinformatics
Advanced Graph Neural Networks

Salim Roukos has contributed to a number of publications appearing in various academic venues, with frequent outputs in:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Transactions of the Association for Computational Linguistics

Recent scholarly works include:

"Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing" (2021), published in the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
"A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering" (2021), featured in the Proceedings of the AAAI Conference on Artificial Intelligence
"End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training" (2020), available on arXiv
"Maximum Bayes Smatch Ensemble Distillation for AMR Parsing" (2022), published in the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
"Multi-Stage Pre-training for Low-Resource Domain Adaptation" (2020), also on arXiv

Collaborative efforts form an important part of their research profile, with frequent co-authors including:

Radu Florian
Ramón Fernández Astudillo
Tahira Naseem
Young-Suk Lee
Pavan Kapanipathi

Best Publications

Bleu: a Method for Automatic Evaluation of Machine Translation

Kishore Papineni;Salim Roukos;Todd Ward;Wei-Jing Zhu

24270
Citations
Procedure for quantitatively comparing the syntactic coverage of English grammars

S. Abney;S. Flickenger;C. Gdaniec;C. Grishman

662
Citations
Natural language task-oriented dialog manager and method

Kishore A. Papineni;Salim Roukos;Robert T. Ward

572
Citations
Continuous hidden Markov modeling for speaker-independent word spotting

J.R. Rohlicek;W. Russell;S. Roukos;H. Gish

386
Citations
A Statistical Model for Multilingual Entity Detection and Tracking

R. Florian;H. Hassan;A. Ittycheriah;H. Jing

323
Citations
Phrase splicing and variable substitution using a trainable speech synthesizer

Robert E. Donovan;Martin Franz;Salim E. Roukos;Jeffrey Sorensen

313
Citations
A stochastic segment model for phoneme-based continuous speech recognition

M. Ostendorf;S. Roukos

313
Citations
A Mention-Synchronous Coreference Resolution Algorithm Based On the Bell Tree

Xiaoqiang Luo;Abe Ittycheriah;Hongyan Jing;Nanda Kambhatla

306
Citations
Statistical natural language understanding using hidden clumpings

M. Epstein;K. Papineni;S. Roukos;T. Ward

305
Citations
A maximum entropy model for prepositional phrase attachment

Adwait Ratnaparkhi;Jeff Reynar;Salim Roukos

300
Citations
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

291
Citations
Trigger-based language models: a maximum entropy approach

R. Lau;R. Rosenfeld;S. Roukos

290
Citations
Statistical translation system with features based on phrases or groups of words

Kishore Ananda Papineni;Salim Estephan Roukos;Robert Todd Ward

258
Citations
Active Learning for Statistical Natural Language Parsing

Min Tang;Xiaoqiang Luo;Salim Roukos

251
Citations
A dynamic language model for speech recognition

F. Jelinek;B. Merialdo;S. Roukos;M. Strauss

240
Citations
Performance of the IBM large vocabulary continuous speech recognition system on the ARPA Wall Street Journal task

L.R. Bahl;S. Balakrishnan-Aiyer;J.R. Bellgarda;M. Franz

235
Citations
Building scalable N-gram language models using maximum likelihood maximum entropy N-gram models

Raymond Lau;Ronald Rosenfeld;Salim Roukos

231
Citations
Towards History-based Grammars: Using Richer Models for Probabilistic Parsing

Ezra Black;Fred Jelinek;John Lafrerty;David M. Magerman

226
Citations
IBM's Statistical Question Answering system: TREC-10

Abraham Ittycheriah;Martin Franz;Salim Roukos

180
Citations
Language Model Based Arabic Word Segmentation

Young-Suk Lee;Kishore Papineni;Salim Roukos;Ossama Emam

172
Citations

Frequent Co-Authors

Frederick Jelinek Johns Hopkins University

Robert Leroy Mercer Renaissance Technologies

Vittorio Castelli IBM (United States)

John Lafferty Yale University

Mo Yu IBM (United States)

Alexander G. Gray Georgia Institute of Technology

Dimitri Kanevsky Google (United States)

Michael Picheny IBM (United States)

Chalapathy Neti IBM (United States)

Bhuvana Ramabhadran Google (United States)

External Links

Personal website of Salim Roukos Google Scholar page

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