Jason M. Eisner
Impact in
- Artificial Intelligence top 0.2%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Algorithms and Data Compression
- Speech Recognition and Synthesis
- Text Readability and Simplification
- Machine Learning and Algorithms
-
- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 108
- Topic Modeling 93
- Algorithms and Data Compression 21
- Machine Learning and Algorithms 19
- Speech and dialogue systems 18
- Speech Recognition and Synthesis 14
- Text Readability and Simplification 12
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- semigroups and automata theory 13
- Co-authors
- Noah A. Smith (10 shared papers)David A. Smith (5 shared papers)Guanghui Qin (1 shared paper)Ryan Cotterell (22 shared papers)Omar F. Zaidan (2 shared papers)Markus Dreyer (5 shared papers)Giorgio Satta (2 shared papers)He He (4 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (9 papers)Cognitive Science (4 papers)Radiographics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jason M. Eisner
140 papers receiving 4.2k citations
Jason M. Eisner's Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 4.2k
- Computer Vision and Pattern Recognition 612
- Linguistics and Language 112
- Language and Linguistics 206
- Experimental and Cognitive Psychology 207
Countries citing papers authored by Jason M. Eisner
This map shows the geographic impact of Jason M. Eisner'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 Jason M. Eisner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason M. Eisner more than expected).
Fields of papers citing papers by Jason M. Eisner
This network shows the impact of papers produced by Jason M. Eisner. 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 Jason M. Eisner. The network helps show where Jason M. Eisner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason M. Eisner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 451 | |
| 2 | Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Hit paper breakdown → | 2021 | 257 |
| 3 | 2005 | 226 | |
| 4 | Using “annotator rationales” to improve machine learning for text categorization | 2007 | 180 |
| 5 | 2003 | 173 | |
| 6 | 2016 | 167 | |
| 7 | 2001 | 119 | |
| 8 | 1999 | 118 | |
| 9 | 2006 | 104 | |
| 10 | 2021 | 103 | |
| 11 | The neural hawkes process: a neurally self-modulating multivariate point process | 2017 | 98 |
| 12 | 2000 | 97 | |
| 13 | 2008 | 91 | |
| 14 | 2009 | 90 | |
| 15 | Learning to Search in Branch and Bound Algorithms | 2014 | 90 |
| 16 | 1997 | 87 | |
| 17 | 1996 | 69 | |
| 18 | 2000 | 69 | |
| 19 | 2008 | 67 | |
| 20 | 2008 | 66 |
About Jason M. Eisner
Jason M. Eisner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Language and Linguistics and Experimental and Cognitive Psychology, having authored 149 papers that have together received 4.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (108 papers), Topic Modeling (93 papers), Algorithms and Data Compression (21 papers), Machine Learning and Algorithms (19 papers), Speech and dialogue systems (18 papers), Speech Recognition and Synthesis (14 papers), semigroups and automata theory (13 papers) and Text Readability and Simplification (12 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Computer Vision and Pattern Recognition (612 citations), Linguistics and Language (112 citations), Language and Linguistics (206 citations) and Experimental and Cognitive Psychology (207 citations). Jason M. Eisner has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Noah A. Smith, David A. Smith, Guanghui Qin, Ryan Cotterell, Omar F. Zaidan, Markus Dreyer, Giorgio Satta, He He, Christine Piatko and Zhifei Li. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Cognitive Science, Radiographics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Lecture notes in computer science.
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.