Michael Collins
Impact in
- Artificial Intelligence top 0.02%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Machine Learning and Algorithms
- Speech and dialogue systems
- Bayesian Modeling and Causal Inference
- Computational Mathematics top 2%
Papers in
-
- Natural Language Processing Techniques 76
- Topic Modeling 23
- Speech Recognition and Synthesis 13
- Machine Learning and Algorithms 8
- Stochastic Gradient Optimization Techniques 5
- Explainable Artificial Intelligence (XAI) 3
- Bayesian Modeling and Causal Inference 3
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- Information Retrieval and Search Behavior 6
- Co-authors
- Nigel Duffy (2 shared papers)Terry Koo (9 shared papers)Yoram Singer (2 shared papers)Robert E. Schapire (3 shared papers)Brian Roark A (4 shared papers)Xavier Carreras (9 shared papers)Chris Alberti (7 shared papers)Trevor Jackson Darrell (5 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (13 papers)Computational Linguistics (5 papers)Monthly Notices of the Royal Astronomical Society (2 papers)Journal of Machine Learning Research (2 papers)Journal of Computer and System Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Michael Collins
119 papers receiving 14k citations
Michael Collins's Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 12.4k
- Computational Mathematics 42
- Information Systems 1.4k
- Computer Vision and Pattern Recognition 1.1k
- Language and Linguistics 329
Countries citing papers authored by Michael Collins
This map shows the geographic impact of Michael Collins'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 Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Collins more than expected).
Fields of papers citing papers by Michael Collins
This network shows the impact of papers produced by Michael Collins. 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 Collins. The network helps show where Michael Collins may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Collins, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Discriminative training methods for hidden Markov models Hit paper breakdown → | 2002 | 1429 |
| 2 | Natural Questions: A Benchmark for Question Answering Research Hit paper breakdown → | 2019 | 1364 |
| 3 | Head-Driven Statistical Models for Natural Language Parsing Hit paper breakdown → | 2003 | 1283 |
| 4 | Convolution Kernels for Natural Language Hit paper breakdown → | 2002 | 635 |
| 5 | Unsupervised Models for Named Entity Classification | 1999 | 633 |
| 6 | 1997 | 585 | |
| 7 | Logistic Regression, AdaBoost and Bregman Distances Hit paper breakdown → | 2002 | 526 |
| 8 | 1996 | 467 | |
| 9 | Clause restructuring for statistical machine translation Hit paper breakdown → | 2005 | 458 |
| 10 | Discriminative Reranking for Natural Language Parsing Hit paper breakdown → | 2005 | 435 |
| 11 | 2001 | 411 | |
| 12 | Globally Normalized Transition-Based Neural Networks Hit paper breakdown → | 2016 | 335 |
| 13 | Simple Semi-supervised Dependency Parsing | 2008 | 318 |
| 14 | Conditional random fields for object recognition | 2004 | 273 |
| 15 | 2004 | 270 | |
| 16 | Online Learning of Relaxed CCG Grammars for Parsing to Logical Form | 2007 | 269 |
| 17 | A Generalization of Principal Components Analysis to the Exponential Family | 2001 | 262 |
| 18 | Sparse, Dense, and Attentional Representations for Text Retrieval Hit paper breakdown → | 2021 | 244 |
| 19 | 2020 | 243 | |
| 20 | 2019 | 211 |
About Michael Collins
Michael Collins is a scholar working on Artificial Intelligence, Information Systems, Statistics and Probability, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 121 papers that have together received 15.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (76 papers), Topic Modeling (23 papers), Speech Recognition and Synthesis (13 papers), Machine Learning and Algorithms (8 papers), Information Retrieval and Search Behavior (6 papers), Stochastic Gradient Optimization Techniques (5 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Artificial Intelligence (12.4k citations), Computational Mathematics (42 citations), Information Systems (1.4k citations), Computer Vision and Pattern Recognition (1.1k citations) and Language and Linguistics (329 citations). Michael Collins has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Nigel Duffy, Terry Koo, Yoram Singer, Robert E. Schapire, Brian Roark A, Xavier Carreras, Chris Alberti, Trevor Jackson Darrell, Philipp Koehn and Ariadna Quattoni. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computational Linguistics, Monthly Notices of the Royal Astronomical Society, Journal of Machine Learning Research and Journal of Computer and System Sciences.
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.