Richard Maclin
Impact in
- Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Machine Learning and Data Classification
- Reinforcement Learning in Robotics
- Imbalanced Data Classification Techniques
- Evolutionary Algorithms and Applications
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
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- Face and Expression Recognition
Papers in
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- Reinforcement Learning in Robotics 13
- Evolutionary Algorithms and Applications 12
- Machine Learning and Algorithms 11
- Machine Learning and Data Classification 9
- Neural Networks and Applications 7
- Natural Language Processing Techniques 5
- Logic, Reasoning, and Knowledge 5
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- Machine Learning in Bioinformatics 5
- Co-authors
- David W. Opitz (3 shared papers)Jude Shavlik (29 shared papers)Trevor Walker (14 shared papers)Lisa Torrey (11 shared papers)Kristin P. Bennett (3 shared papers)Ayhan Demiriz (2 shared papers)Edward W. Wild (2 shared papers)Lars Asker (2 shared papers)
- Journals
- Machine Learning (4 papers)Journal of Aggression Maltreatment & Trauma (1 paper)Journal of Artificial Intelligence Research (1 paper)Lecture notes in computer science (6 papers)Studies in computational intelligence (2 papers)
- Partner nations
- United StatesPortugalSweden
In The Last Decade
Richard Maclin
41 papers receiving 3.2k citations
Richard Maclin's Hit Papers
Peers
Comparison fields: 5 of 183
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 639
- Signal Processing 223
- Health Information Management 85
- Information Systems 336
Countries citing papers authored by Richard Maclin
This map shows the geographic impact of Richard Maclin'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 Richard Maclin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Maclin more than expected).
Fields of papers citing papers by Richard Maclin
This network shows the impact of papers produced by Richard Maclin. 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 Richard Maclin. The network helps show where Richard Maclin may publish in the future.
Co-authors
The 21 scholars most cited alongside Richard Maclin, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Popular Ensemble Methods: An Empirical Study Hit paper breakdown → | 1999 | 2252 |
| 2 | An empirical evaluation of bagging and boosting | 1997 | 206 |
| 3 | 2002 | 144 | |
| 4 | Combining the predictions of multiple classifiers: using competitive learning to initialize neural networks | 1995 | 85 |
| 5 | 1996 | 78 | |
| 6 | Giving advice about preferred actions to reinforcement learners via knowledge-based kernel regression | 2005 | 75 |
| 7 | 2005 | 75 | |
| 8 | 1993 | 62 | |
| 9 | 2006 | 51 | |
| 10 | 2007 | 42 | |
| 11 | 2002 | 41 | |
| 12 | 2008 | 40 | |
| 13 | Incorporating advice into agents that learn from reinforcements | 1994 | 39 |
| 14 | A comparative study of support vector machines applied to the supervised word sense disambiguation problem in the medical domain | 2005 | 32 |
| 15 | Ensembles as a sequence of classifiers | 1997 | 23 |
| 16 | 2021 | 22 | |
| 17 | 2010 | 19 | |
| 18 | Boosting classifiers regionally | 1998 | 18 |
| 19 | 2009 | 14 | |
| 20 | 2002 | 12 |
About Richard Maclin
Richard Maclin is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Information Systems and Control and Systems Engineering, having authored 44 papers that have together received 3.4k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (13 papers), Evolutionary Algorithms and Applications (12 papers), Machine Learning and Algorithms (11 papers), Machine Learning and Data Classification (9 papers), Neural Networks and Applications (7 papers), Natural Language Processing Techniques (5 papers), Machine Learning in Bioinformatics (5 papers) and Logic, Reasoning, and Knowledge (5 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (639 citations), Signal Processing (223 citations), Health Information Management (85 citations) and Information Systems (336 citations). Richard Maclin has collaborated with scholars based in United States, Portugal and Sweden. Frequent co-authors include David W. Opitz, Jude Shavlik, Trevor Walker, Lisa Torrey, Kristin P. Bennett, Ayhan Demiriz, Edward W. Wild, Lars Asker, Ted Pedersen and Mahesh Joshi. Their work appears in journals such as Machine Learning, Journal of Aggression Maltreatment & Trauma, Journal of Artificial Intelligence Research, Lecture notes in computer science and Studies in computational intelligence.
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.