David M. Magerman
Impact in
- Artificial Intelligence top 2%
- 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
- Information Systems top 10%
- Data Mining Algorithms and Applications
Papers in
-
- Natural Language Processing Techniques 18
- Topic Modeling 12
- Speech and dialogue systems 7
- Algorithms and Data Compression 4
- Speech Recognition and Synthesis 2
- Authorship Attribution and Profiling 1
-
- Data Mining Algorithms and Applications 2
- Co-authors
- Mitchell P. Marcus (7 shared papers)Salim Roukos (3 shared papers)John Lafferty (3 shared papers)Ezra Black (5 shared papers)Fred Jelinek (2 shared papers)Robert L. Mercer (2 shared papers)Beatrice Santorini (3 shared papers)Eric Brill (2 shared papers)
- Journals
- Journal of Visual Languages & Computing (1 paper)National Conference on Artificial Intelligence (1 paper)The COCOON platform (University of Paris) (1 paper)Journal of Natural Language Processing (1 paper)ScholarlyCommons (University of Pennsylvania) (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
David M. Magerman
19 papers receiving 633 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 770
- Information Systems 68
- Language and Linguistics 26
- Computational Theory and Mathematics 35
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by David M. Magerman
This map shows the geographic impact of David M. Magerman'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 David M. Magerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Magerman more than expected).
Fields of papers citing papers by David M. Magerman
This network shows the impact of papers produced by David M. Magerman. 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 David M. Magerman. The network helps show where David M. Magerman may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Magerman, 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 | 1995 | 370 | |
| 2 | 1993 | 86 | |
| 3 | Parsing a natural language using mutual information statistics | 1990 | 72 |
| 4 | 1992 | 59 | |
| 5 | 1994 | 50 | |
| 6 | 1991 | 47 | |
| 7 | 1990 | 40 | |
| 8 | 1992 | 26 | |
| 9 | 1996 | 19 | |
| 10 | Pearl: A Probabilistic Chart Parser | 1991 | 14 |
| 11 | 1990 | 12 | |
| 12 | 1990 | 8 | |
| 13 | 1991 | 7 | |
| 14 | 1998 | 7 | |
| 15 | 1992 | 5 | |
| 16 | First Steps Towards an Annotated Database of American English | 1990 | 4 |
| 17 | Probabilistic Parsing of Unrestricted English Text, With a I-Iighly-Detailed Grammar | 1997 | 3 |
| 18 | 2002 | 3 | |
| 19 | The TACITUS System: The MUC-3 Experience | 1991 | 2 |
About David M. Magerman
David M. Magerman is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Language and Linguistics and Infectious Diseases, having authored 19 papers that have together received 834 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Topic Modeling (12 papers), Speech and dialogue systems (7 papers), Algorithms and Data Compression (4 papers), Speech Recognition and Synthesis (2 papers), Data Mining Algorithms and Applications (2 papers), semigroups and automata theory (2 papers) and Authorship Attribution and Profiling (1 paper). The work is most often cited by research in Artificial Intelligence (770 citations), Information Systems (68 citations), Language and Linguistics (26 citations), Computational Theory and Mathematics (35 citations) and Computer Vision and Pattern Recognition (35 citations). David M. Magerman has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Mitchell P. Marcus, Salim Roukos, John Lafferty, Ezra Black, Fred Jelinek, Robert L. Mercer, Beatrice Santorini, Eric Brill, Adwait Ratnaparkhi and R. L. Mercer. Their work appears in journals such as Journal of Visual Languages & Computing, National Conference on Artificial Intelligence, The COCOON platform (University of Paris), Journal of Natural Language Processing and ScholarlyCommons (University of Pennsylvania).
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.