Fred Jelinek
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Algorithms and Data Compression
- Speech Recognition and Synthesis
- Text Readability and Simplification
- Semantic Web and Ontologies
- Machine Learning and Algorithms
Papers in
-
- Natural Language Processing Techniques 5
- Speech and dialogue systems 4
- Topic Modeling 3
- Speech Recognition and Synthesis 2
- Advanced Text Analysis Techniques 1
- Neural Networks and Applications 1
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- Speech and Audio Processing 2
- Music and Audio Processing 1
- Co-authors
- Ezra Black (4 shared papers)Robert L. Mercer (3 shared papers)John Lafferty (3 shared papers)Salim Roukos (3 shared papers)David M. Magerman (2 shared papers)Mark Liberman (1 shared paper)Judith L. Klavans (1 shared paper)Donald Hindle (1 shared paper)
- Journals
- Annals of Telecommunications (1 paper)ACM SIGART Bulletin (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Fred Jelinek
8 papers receiving 203 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 243
- Signal Processing 12
- Information Systems 18
- Computer Vision and Pattern Recognition 16
- Language and Linguistics 7
Countries citing papers authored by Fred Jelinek
This map shows the geographic impact of Fred Jelinek'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 Fred Jelinek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Jelinek more than expected).
Fields of papers citing papers by Fred Jelinek
This network shows the impact of papers produced by Fred Jelinek. 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 Fred Jelinek. The network helps show where Fred Jelinek may publish in the future.
Co-authors
The 19 scholars most cited alongside Fred Jelinek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 86 | |
| 2 | A procedure for quantitatively comparing the syntactic coverage of English | 1991 | 61 |
| 3 | 1992 | 59 | |
| 4 | 1992 | 27 | |
| 5 | 2010 | 7 | |
| 6 | 1977 | 6 | |
| 7 | 1989 | 3 | |
| 8 | 1984 | 1 |
About Fred Jelinek
Fred Jelinek is a scholar working on Artificial Intelligence, Signal Processing, Infectious Diseases, Organic Chemistry and Surgery, having authored 8 papers that have together received 250 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Speech and dialogue systems (4 papers), Topic Modeling (3 papers), Speech and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers), Advanced Text Analysis Techniques (1 paper), Neural Networks and Applications (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Artificial Intelligence (243 citations), Signal Processing (12 citations), Information Systems (18 citations), Computer Vision and Pattern Recognition (16 citations) and Language and Linguistics (7 citations). Fred Jelinek has collaborated with scholars based in United States and France. Frequent co-authors include Ezra Black, Robert L. Mercer, John Lafferty, Salim Roukos, David M. Magerman, Mark Liberman, Judith L. Klavans, Donald Hindle, Tomek Strzalkowski and Robert Ingria. Their work appears in journals such as Annals of Telecommunications and ACM SIGART Bulletin.
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.