Michael Collins

16.1k total citations · 6 hit papers
134 papers, 10.0k citations indexed

About

Michael Collins is a scholar working on Artificial Intelligence, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, Michael Collins has authored 134 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 27 papers in Aerospace Engineering and 19 papers in Atmospheric Science. Recurrent topics in Michael Collins's work include Natural Language Processing Techniques (36 papers), Topic Modeling (35 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (27 papers). Michael Collins is often cited by papers focused on Natural Language Processing Techniques (36 papers), Topic Modeling (35 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (27 papers). Michael Collins collaborates with scholars based in United States, Canada and Austria. Michael Collins's co-authors include Yoram Singer, Brian Roark, Ariadna Quattoni, Trevor Darrell, Ivona Kučerová, Philipp Koehn, William J. Emery, Chris Alberti, Kristina Toutanova and Tom Kwiatkowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Michael Collins

128 papers receiving 8.9k citations

Hit Papers

Discriminative training methods for hidden Markov models 1997 2026 2006 2016 2002 2003 2019 1999 1997 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Collins United States 41 7.5k 1.6k 730 543 513 134 10.0k
Stephan R. Sain United States 27 2.0k 0.3× 1.1k 0.7× 262 0.4× 424 0.8× 105 0.2× 85 7.2k
Jing Yao China 39 1.4k 0.2× 2.7k 1.7× 208 0.3× 979 1.8× 833 1.6× 128 9.8k
Zhi Ding United States 53 1.9k 0.3× 454 0.3× 301 0.4× 264 0.5× 1.1k 2.1× 577 11.6k
Xin Sun China 41 1.4k 0.2× 1.5k 0.9× 385 0.5× 209 0.4× 1.0k 2.0× 282 6.2k
José M. Peña Spain 42 1.4k 0.2× 647 0.4× 307 0.4× 380 0.7× 274 0.5× 163 7.4k
D. A. Landgrebe United States 39 2.7k 0.4× 2.3k 1.4× 474 0.6× 317 0.6× 393 0.8× 181 9.8k
Xiaohui Yuan United States 36 949 0.1× 1.9k 1.2× 265 0.4× 320 0.6× 264 0.5× 225 5.5k
Robin Sibson United Kingdom 19 1.3k 0.2× 817 0.5× 256 0.4× 332 0.6× 162 0.3× 31 5.1k
Nikos Vlassis Netherlands 33 2.3k 0.3× 1.4k 0.9× 272 0.4× 801 1.5× 418 0.8× 126 6.0k
Hieu Pham United States 18 4.6k 0.6× 2.3k 1.5× 573 0.8× 253 0.5× 96 0.2× 41 7.0k

Countries citing papers authored by Michael Collins

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Collins

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Collins. A scholar is included among the top collaborators of Michael Collins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Collins. Michael Collins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Atteia, Ghada, Michael Collins, Abeer D. Algarni, & Nagwan Abdel Samee. (2022). Deep-Learning-Based Feature Extraction Approach for Significant Wave Height Prediction in SAR Mode Altimeter Data. Remote Sensing. 14(21). 5569–5569. 5 indexed citations
2.
Papadimitriou, Christos H., et al.. (2020). Brain computation by assemblies of neurons. Proceedings of the National Academy of Sciences. 117(25). 14464–14472. 40 indexed citations
3.
Eskander, Ramy, Smaranda Muresan, & Michael Collins. (2020). Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios. 4820–4831. 12 indexed citations
4.
Alberti, Chris, Daniel Andor, Emily Pitler, Jacob Devlin, & Michael Collins. (2019). Synthetic QA Corpora Generation with Roundtrip Consistency. 6168–6173. 108 indexed citations
5.
McGuire, Peter, et al.. (2019). C-Band Simulations of Melting Icebergs Using GRECOSAR and an EM Model: Varying Wind Conditions at Lower Beam Mode. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(12). 5134–5146. 4 indexed citations
6.
Stratos, Karl, et al.. (2014). A spectral algorithm for learning class-based n -gram models of natural language. Uncertainty in Artificial Intelligence. 762–771. 18 indexed citations
7.
Denbina, Michael & Michael Collins. (2014). Iceberg detection using analysis of the received polarization ellipse in compact polarimetry. 266–269. 1 indexed citations
8.
Denbina, Michael & Michael Collins. (2014). Iceberg Detection Using Simulated Dual-Polarized Radarsat Constellation Data. Canadian Journal of Remote Sensing. 40(3). 165–178. 8 indexed citations
9.
Stratos, Karl, Alexander M. Rush, Shay B. Cohen, & Michael Collins. (2013). Spectral Learning of Refinement HMMs. Edinburgh Research Explorer (University of Edinburgh). 56–64. 8 indexed citations
10.
Cohen, Shay B., Karl Stratos, Michael Collins, Dean P. Foster, & Lyle Ungar. (2012). Spectral Learning of Latent-Variable PCFGs. Edinburgh Research Explorer (University of Edinburgh). 1. 223–231. 11 indexed citations
11.
Brenick, Alaina, et al.. (2009). Do Stereotypic Images in Video Games Affect Attitudes and Behavior? Adolescents' Perspectives.. Europe PMC (PubMed Central). 19(1). 170–196. 4 indexed citations
12.
Collins, Michael, et al.. (2009). Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition. DSpace@MIT (Massachusetts Institute of Technology). 22. 1678–1686. 19 indexed citations
13.
Collins, Michael, et al.. (2009). Modeling and Simulation of SAR Image Texture. IEEE Transactions on Geoscience and Remote Sensing. 47(10). 3530–3546. 31 indexed citations
14.
Fusilier, Marcelline, et al.. (2005). A Four-Country Investigation of Factors Facilitating Student Internet Use. CyberPsychology & Behavior. 8(5). 454–464. 8 indexed citations
15.
Collins, Michael, Brian Roark, & Murat Saraçlar. (2005). Discriminative syntactic language modeling for speech recognition. 507–514. 60 indexed citations
16.
Collins, Michael & Yoram Singer. (1999). Unsupervised Models for Named Entity Classification. Empirical Methods in Natural Language Processing. 567 indexed citations breakdown →
17.
Collins, Michael, Lance Ramshaw, Jan Hajič, & Christoph Tillmann. (1999). A statistical parser for Czech. 505–512. 131 indexed citations
18.
Collins, Michael & S.L. Miller. (1998). Semantic Tagging using a Probabilistic Context Free Grammar. Defense Technical Information Center (DTIC). 18 indexed citations
19.
White, G. M., et al.. (1990). Forced air baled hay drying.. Paper - American Society of Agricultural Engineers. 1 indexed citations
20.
Collins, Michael, David Jones, & David A. Clayton. (1984). Redescription of Uca Sindensis (Alcock, 1900) (Brachyura: Ocypodidae) with Notes on the Ecology of a Population from Kuwait. Journal of Crustacean Biology. 4(2). 318–328. 12 indexed citations

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.

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