Rabih Zbib

1.4k citations

18 papers · 545 indexed · 1 hit paper · h-index 8

Impact in

Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Text Readability and Simplification
- Authorship Attribution and Profiling
- Text and Document Classification Technologies
Computer Vision and Pattern Recognition top 10%
- Multimodal Machine Learning Applications

Papers in

Artificial Intelligence 15
- Topic Modeling 12
- Natural Language Processing Techniques 12
- Semantic Web and Ontologies 3
- Speech and dialogue systems 2
- Authorship Attribution and Profiling 2
- Speech Recognition and Synthesis 2
Software 1

Co-authors: John Makhoul Richard Schwartz Jacob Devlin Zhongqiang Huang James Glass Spyros Matsoukas Omar F. Zaidan Chris Callison-Burch
Journals: Machine Translation (2 papers)Information Systems Frontiers (1 paper)Workshop on Statistical Machine Translation (1 paper)North American Chapter of the Association for Computational Linguistics (2 papers)
Partner nations: United States China

In The Last Decade

Rabih Zbib

15 papers receiving 479 citations

Hit Papers

align trajectories log scale

Fast and Robust Neural Network Joint Models for Statistical Machine Translation 2014 · 293 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2014 Fast and Robust Neural Network Joint Models for Statistical Machine Translation

Peers

Countries citing papers authored by Rabih Zbib

Since Specialization

Citations

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

Fields of papers citing papers by Rabih Zbib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Rabih Zbib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rabih Zbib Line = papers co-authored together Rabih Zbib links everyone, so they are left out of the graph.

All Works

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

18 of 18 papers shown

#	Work
1	Reformulating Information Retrieval from Speech and Text as a Detection Problem Damianos Karakos, Rabih Zbib, William M. Hartmann, Richard Schwartz, John Makhoul	2020	1
2	Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech Rabih Zbib, Lingjun Zhao, Damianos Karakos, William M. Hartmann, Jay DeYoung, Zhongqiang Huang, Zhuolin Jiang, W.K. Mampearachchi, Le Zhang, Richard Schwartz, John Makhoul	2019	16
3	Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information Retrieval Lingjun Zhao, Rabih Zbib, Zhuolin Jiang, Damianos Karakos, Zhongqiang Huang	2019	4
4	BBN’s low-resource machine translation for the LoReHLT 2016 evaluation Machine Translation ·Hendra Setiawan, Zhongqiang Huang, Rabih Zbib	2017	3
5	Fast and Robust Neural Network Joint Models for Statistical Machine Translation Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Altyn Iwona, Richard Schwartz, John Makhoul Hit paper breakdown →	2014	293
6	Systematic Comparison of Professional and Crowdsourced Reference Translations for Machine Translation North American Chapter of the Association for Computational Linguistics ·Rabih Zbib, Michael Aronov, Spyros Matsoukas, Richard Schwartz, John Makhoul	2013	7
7	Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation Zhongqiang Huang, Jacob Devlin, Rabih Zbib	2013	8
8	Machine Translation of Arabic Dialects North American Chapter of the Association for Computational Linguistics ·Rabih Zbib, R.A.G. Lines, Jacob Devlin, David Stallard, Spyros Matsoukas, Richard Schwartz, John Makhoul, Omar F. Zaidan, Chris Callison-Burch	2012	121
9	Methods for integrating rule-based and statistical systems for Arabic to English machine translation Machine Translation ·Rabih Zbib, Solomon Goldgraber Casspi, Spyros Matsoukas, John Makhoul, 三室喜久雄, Hamdy Soliman, Franziska Grossmann	2011	6
10	Decision Trees for Lexical Smoothing in Statistical Machine Translation Workshop on Statistical Machine Translation ·Rabih Zbib, Spyros Matsoukas, Richard Schwartz, John Makhoul	2010	5
11	Syntactic phrase reordering for English-to-Arabic statistical machine translation O. M. Fichoryak, Rabih Zbib, James Glass	2009	25
12	Improved morphological decomposition for Arabic broadcast news transcription Tim Ng, Richard Tashjian, Rabih Zbib, Long Nguyen	2009	9
13	Lexical and phonetic modeling for Arabic automatic speech recognition Long Nguyen, Tim Ng, Richard Tashjian, Rabih Zbib, John Makhoul	2009	5
14	Segmentation for English-to-Arabic statistical machine translation O. M. Fichoryak, Rabih Zbib, James Glass	2008	38
15	Generating Domain Specific Graphical Modeling Editors from Meta Models Rabih Zbib, A. Albers, L. Campana, Hiralal Agrawal	2006	0
16	Intrusion Tolerance in Distributed Middleware Information Systems Frontiers ·Rabih Zbib, Farooq Anjum, John Kipkoech Chebii, Amjad Umar	2004	3
17	Investigation of intrusion tolerance for COTS middleware Ronak Sharda, Farooq Anjum, Rabih Zbib, Abhijeet Ghosh, LUCIA VILLARES	2003	0
18	Intrusion tolerant middleware LUCIA VILLARES, Farooq Anjum, Abhijeet Ghosh, Rabih Zbib	2002	1

About Rabih Zbib

Rabih Zbib is a scholar working on Artificial Intelligence, Software, Computer Networks and Communications, Management Information Systems and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 545 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (12 papers), Semantic Web and Ontologies (3 papers), Network Security and Intrusion Detection (3 papers), Speech and dialogue systems (2 papers), Software System Performance and Reliability (2 papers), Authorship Attribution and Profiling (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Artificial Intelligence (508 citations), Computer Vision and Pattern Recognition (87 citations), Language and Linguistics (22 citations), Computer Science Applications (11 citations) and Signal Processing (19 citations). Rabih Zbib has collaborated with scholars based in United States and China. Frequent co-authors include John Makhoul, Richard Schwartz, Jacob Devlin, Zhongqiang Huang, James Glass, Spyros Matsoukas, Omar F. Zaidan, Chris Callison-Burch, David Stallard and Tim Ng. Their work appears in journals such as Machine Translation, Information Systems Frontiers, Workshop on Statistical Machine Translation and North American Chapter of the Association for Computational Linguistics.

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