Michael Collins
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Biometric Identification and Security
- Information Systems top 5%
- User Authentication and Security Systems
- Spam and Phishing Detection
- Information and Cyber Security
Papers in
-
- Natural Language Processing Techniques 2
- Text Readability and Simplification 1
-
- Spam and Phishing Detection 1
- User Authentication and Security Systems 1
- Co-authors
- Sudhir Aggarwal (1 shared paper)Mark Steedman (1 shared paper)Björn Gambäck (1 shared paper)Manny Rayner (1 shared paper)Vassilios Digalakis (1 shared paper)Stephen Pulman (1 shared paper)Christer Samuelsson (1 shared paper)Jussi Karlgren (1 shared paper)
- Journals
- Journal of Psycholinguistic Research (1 paper)OhioLink ETD Center (Ohio Library and Information Network) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Michael Collins
5 papers receiving 247 citations
Peers
Comparison fields: 5 of 27
- Signal Processing 204
- Information Systems 242
- Human-Computer Interaction 45
- Applied Psychology 8
- Clinical Psychology 22
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 10 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 246 | |
| 2 | 2013 | 15 | |
| 3 | 1993 | 10 | |
| 4 | Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing : a meeting of SIGDAT, a Special Interest Group of the ACL, held in conjunction with ACL-03 : 11-12 July 2003, Sapporo Convention Center, Sapporo, Japan | 2003 | 2 |
| 5 | Cognitive Perspectives On English Word Order | 2012 | 1 |
About Michael Collins
Michael Collins is a scholar working on Artificial Intelligence, Information Systems, Cognitive Neuroscience, Signal Processing and Language and Linguistics, having authored 5 papers that have together received 274 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Spam and Phishing Detection (1 paper), Lexicography and Language Studies (1 paper), Text Readability and Simplification (1 paper), Second Language Acquisition and Learning (1 paper), linguistics and terminology studies (1 paper), Neurobiology of Language and Bilingualism (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Signal Processing (204 citations), Information Systems (242 citations), Human-Computer Interaction (45 citations), Applied Psychology (8 citations) and Clinical Psychology (22 citations). Michael Collins has collaborated with scholars based in United States and China. Frequent co-authors include Sudhir Aggarwal, Mark Steedman, Björn Gambäck, Manny Rayner, Vassilios Digalakis, Stephen Pulman, Christer Samuelsson, Jussi Karlgren, David Carter and Patti Price. Their work appears in journals such as Journal of Psycholinguistic Research and OhioLink ETD Center (Ohio Library and Information Network).
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.