Jason 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 109
- Topic Modeling 95
- Algorithms and Data Compression 23
- Machine Learning and Algorithms 21
- Speech and dialogue systems 20
- Speech Recognition and Synthesis 13
- Text Readability and Simplification 11
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- semigroups and automata theory 13
- Co-authors
- Noah A. Smith (11 shared papers)David A. Smith (5 shared papers)Guanghui Qin (2 shared papers)Markus Dreyer (6 shared papers)Ryan Cotterell (19 shared papers)Omar F. Zaidan (2 shared papers)Giorgio Satta (2 shared papers)He He (4 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (8 papers)Cognitive Science (4 papers)Radiographics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Computational Linguistics (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Jason Eisner
144 papers receiving 4.0k citations
Jason Eisner's Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 4.1k
- Computer Vision and Pattern Recognition 574
- Linguistics and Language 100
- Language and Linguistics 201
- Computational Theory and Mathematics 269
Countries citing papers authored by Jason Eisner
This map shows the geographic impact of Jason 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 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 Eisner more than expected).
Fields of papers citing papers by Jason Eisner
This network shows the impact of papers produced by Jason 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 Eisner. The network helps show where Jason Eisner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 446 | |
| 2 | Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Hit paper breakdown → | 2021 | 240 |
| 3 | 2005 | 225 | |
| 4 | 2003 | 183 | |
| 5 | Using ``Annotator Rationales'' to Improve Machine Learning for Text Categorization | 2007 | 165 |
| 6 | 2016 | 146 | |
| 7 | 1999 | 121 | |
| 8 | 2001 | 115 | |
| 9 | 2000 | 104 | |
| 10 | 2006 | 101 | |
| 11 | 2008 | 96 | |
| 12 | 2021 | 95 | |
| 13 | The neural hawkes process: a neurally self-modulating multivariate point process | 2017 | 94 |
| 14 | 1997 | 86 | |
| 15 | 2009 | 86 | |
| 16 | Learning to Search in Branch and Bound Algorithms | 2014 | 81 |
| 17 | 1996 | 68 | |
| 18 | 2008 | 66 | |
| 19 | 2000 | 65 | |
| 20 | 2009 | 62 |
About Jason Eisner
Jason Eisner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Molecular Biology and Language and Linguistics, having authored 152 papers that have together received 4.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (109 papers), Topic Modeling (95 papers), Algorithms and Data Compression (23 papers), Machine Learning and Algorithms (21 papers), Speech and dialogue systems (20 papers), semigroups and automata theory (13 papers), Speech Recognition and Synthesis (13 papers) and Text Readability and Simplification (11 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Computer Vision and Pattern Recognition (574 citations), Linguistics and Language (100 citations), Language and Linguistics (201 citations) and Computational Theory and Mathematics (269 citations). Jason Eisner has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Noah A. Smith, David A. Smith, Guanghui Qin, Markus Dreyer, Ryan Cotterell, Omar F. Zaidan, 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 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.