Michael Heilman
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
Papers in
-
- Natural Language Processing Techniques 23
- Topic Modeling 20
- Advanced Text Analysis Techniques 8
- Text Readability and Simplification 7
- Speech and dialogue systems 4
- Intelligent Tutoring Systems and Adaptive Learning 4
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- Software Engineering Research 5
- Co-authors
- Noah A. Smith (9 shared papers)Maxine Eskénazi (7 shared papers)Dani Yogatama (3 shared papers)Nitin Madnani (9 shared papers)Dipanjan Das (3 shared papers)Jacob Eisenstein (2 shared papers)Kevin Gimpel (2 shared papers)Nathan Schneider (3 shared papers)
- Journals
- International Journal of Artificial Intelligence in Education (1 paper)Journal of Research in Science Teaching (1 paper)Bioinspiration & Biomimetics (1 paper)Educational Measurement Issues and Practice (1 paper)ETS Research Report Series (5 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Michael Heilman
39 papers receiving 2.1k citations
Michael Heilman's Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 1.8k
- Computer Science Applications 107
- Developmental and Educational Psychology 228
- Information Systems 387
- Computer Vision and Pattern Recognition 217
Countries citing papers authored by Michael Heilman
This map shows the geographic impact of Michael Heilman'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 Michael Heilman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Heilman more than expected).
Fields of papers citing papers by Michael Heilman
This network shows the impact of papers produced by Michael Heilman. 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 Michael Heilman. The network helps show where Michael Heilman may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Heilman, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics Hit paper breakdown → | 2011 | 743 |
| 2 | 2018 | 164 | |
| 3 | 2018 | 157 | |
| 4 | Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts | 2007 | 133 |
| 5 | Automatic factual question generation from text | 2011 | 102 |
| 6 | 2016 | 96 | |
| 7 | 2008 | 94 | |
| 8 | 2018 | 65 | |
| 9 | 2014 | 54 | |
| 10 | 2015 | 54 | |
| 11 | ETS: Domain Adaptation and Stacking for Short Answer Scoring | 2013 | 53 |
| 12 | 2014 | 52 | |
| 13 | 2006 | 49 | |
| 14 | 2014 | 41 | |
| 15 | 2010 | 39 | |
| 16 | Identifying High-Level Organizational Elements in Argumentative Discourse | 2012 | 38 |
| 17 | 2015 | 38 | |
| 18 | 2015 | 36 | |
| 19 | 2014 | 36 | |
| 20 | Predicting a Scientific Community’s Response to an Article | 2011 | 29 |
About Michael Heilman
Michael Heilman is a scholar working on Artificial Intelligence, Information Systems, Developmental and Educational Psychology, Experimental and Cognitive Psychology and Molecular Biology, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (23 papers), Topic Modeling (20 papers), Advanced Text Analysis Techniques (8 papers), Text Readability and Simplification (7 papers), Second Language Acquisition and Learning (5 papers), Software Engineering Research (5 papers), Speech and dialogue systems (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Computer Science Applications (107 citations), Developmental and Educational Psychology (228 citations), Information Systems (387 citations) and Computer Vision and Pattern Recognition (217 citations). Michael Heilman has collaborated with scholars based in United States and Germany. Frequent co-authors include Noah A. Smith, Maxine Eskénazi, Dani Yogatama, Nitin Madnani, Dipanjan Das, Jacob Eisenstein, Kevin Gimpel, Nathan Schneider, Brendan O’Connor and Kevyn Collins‐Thompson. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Journal of Research in Science Teaching, Bioinspiration & Biomimetics, Educational Measurement Issues and Practice and ETS Research Report Series.
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.