John DeNero
Impact in
- Artificial Intelligence top 1%
- Natural Language Processing Techniques
- Topic Modeling
- Intelligent Tutoring Systems and Adaptive Learning
-
- Teaching and Learning Programming
Papers in
-
- Natural Language Processing Techniques 29
- Intelligent Tutoring Systems and Adaptive Learning 3
- Machine Learning in Healthcare 1
-
- Teaching and Learning Programming 9
- Co-authors
- Dan Klein (14 shared papers)Alexandre Bouchard‐Côté (2 shared papers)Greg Durrett (1 shared paper)Joern Wuebker (7 shared papers)Taylor Berg-Kirkpatrick (1 shared paper)Jakob Uszkoreit (2 shared papers)Spence Green (3 shared papers)Aria Haghighi (3 shared papers)
- Journals
- Journal of Biomedical Informatics (1 paper)Cognitive Science (1 paper)JAMIA Open (2 papers)JMIR Research Protocols (1 paper)ACM Technical Symposium on Computer Science Education (SIGCSE) (9 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
John DeNero
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 938
- Computer Science Applications 67
- Health Informatics 8
- Language and Linguistics 28
- Information Systems 23
Countries citing papers authored by John DeNero
This map shows the geographic impact of John DeNero'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 John DeNero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John DeNero more than expected).
Fields of papers citing papers by John DeNero
This network shows the impact of papers produced by John DeNero. 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 John DeNero. The network helps show where John DeNero may publish in the future.
Co-authors
The 25 scholars most cited alongside John DeNero, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Painless Unsupervised Learning with Features | 2010 | 156 |
| 2 | Supervised Learning of Complete Morphological Paradigms | 2013 | 89 |
| 3 | 2009 | 79 | |
| 4 | Tailoring Word Alignments to Syntactic Machine Translation | 2007 | 77 |
| 5 | 2008 | 72 | |
| 6 | Inducing Sentence Structure from Parallel Corpora for Reordering | 2011 | 68 |
| 7 | 2010 | 55 | |
| 8 | 2006 | 54 | |
| 9 | 2008 | 51 | |
| 10 | 2020 | 43 | |
| 11 | A Class-Based Agreement Model for Generating Accurately Inflected Translations | 2012 | 39 |
| 12 | L1 and L2 Regularization for Multiclass Hinge Loss Models | 2011 | 37 |
| 13 | 2018 | 37 | |
| 14 | 2016 | 32 | |
| 15 | 2009 | 30 | |
| 16 | Model Combination for Machine Translation | 2010 | 25 |
| 17 | Model-Based Aligner Combination Using Dual Decomposition | 2011 | 24 |
| 18 | 2015 | 24 | |
| 19 | 2025 | 22 | |
| 20 | 2009 | 21 |
About John DeNero
John DeNero is a scholar working on Artificial Intelligence, Computer Science Applications, Social Psychology, Epidemiology and Nuclear Energy and Engineering, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (29 papers), Teaching and Learning Programming (9 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Deception detection and forensic psychology (1 paper), Data-Driven Disease Surveillance (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Artificial Intelligence (938 citations), Computer Science Applications (67 citations), Health Informatics (8 citations), Language and Linguistics (28 citations) and Information Systems (23 citations). John DeNero has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Dan Klein, Alexandre Bouchard‐Côté, Greg Durrett, Joern Wuebker, Taylor Berg-Kirkpatrick, Jakob Uszkoreit, Spence Green, Aria Haghighi, John C. Blitzer and Robert C. Moore. Their work appears in journals such as Journal of Biomedical Informatics, Cognitive Science, JAMIA Open, JMIR Research Protocols and ACM Technical Symposium on Computer Science Education (SIGCSE).
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.