Murray Campbell
Impact in
- Artificial Intelligence top 1%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Topic Modeling
- Health Informatics top 5%
Papers in
-
- Artificial Intelligence in Games 15
- Reinforcement Learning in Robotics 10
- Topic Modeling 10
- Explainable Artificial Intelligence (XAI) 8
-
- Music Technology and Sound Studies 27
- Co-authors
- Feng-hsiung Hsu (5 shared papers)T.A. Marsland (3 shared papers)Clive Greated (9 shared papers)Thomas Anantharaman (3 shared papers)William R. Hogan (1 shared paper)Howard Burkom (1 shared paper)Andrew Moore (1 shared paper)David L. Buckeridge (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (8 papers)Artificial Intelligence (5 papers)IBM Journal of Research and Development (2 papers)Applied Acoustics (2 papers)Human Rights Law Review (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Murray Campbell
98 papers receiving 2.1k citations
Murray Campbell's Hit Papers
Peers
Comparison fields: 5 of 182
- Artificial Intelligence 1.2k
- Health Informatics 43
- Computer Vision and Pattern Recognition 528
- Signal Processing 232
- Music 50
Countries citing papers authored by Murray Campbell
This map shows the geographic impact of Murray Campbell'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 Murray Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murray Campbell more than expected).
Fields of papers citing papers by Murray Campbell
This network shows the impact of papers produced by Murray Campbell. 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 Murray Campbell. The network helps show where Murray Campbell may publish in the future.
Co-authors
The 25 scholars most cited alongside Murray Campbell, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Blue Hit paper breakdown → | 2002 | 592 |
| 2 | 2004 | 145 | |
| 3 | 2008 | 141 | |
| 4 | 1982 | 91 | |
| 5 | 1990 | 90 | |
| 6 | IBM Research TRECVID-2006 Video Retrieval System | 2006 | 77 |
| 7 | 2020 | 72 | |
| 8 | 2008 | 61 | |
| 9 | 1983 | 58 | |
| 10 | 2000 | 57 | |
| 11 | 1990 | 56 | |
| 12 | 2019 | 52 | |
| 13 | 1990 | 50 | |
| 14 | Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering | 2017 | 49 |
| 15 | Learning to Teach in Cooperative Multiagent Reinforcement Learning | 2018 | 49 |
| 16 | 2020 | 44 | |
| 17 | 1999 | 30 | |
| 18 | 2011 | 29 | |
| 19 | 1994 | 29 | |
| 20 | 2003 | 28 |
About Murray Campbell
Murray Campbell is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Music and Economics and Econometrics, having authored 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (27 papers), Music and Audio Processing (16 papers), Artificial Intelligence in Games (15 papers), Diverse Musicological Studies (11 papers), Reinforcement Learning in Robotics (10 papers), Topic Modeling (10 papers), Sports Analytics and Performance (9 papers) and Explainable Artificial Intelligence (XAI) (8 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Health Informatics (43 citations), Computer Vision and Pattern Recognition (528 citations), Signal Processing (232 citations) and Music (50 citations). Murray Campbell has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Feng-hsiung Hsu, T.A. Marsland, Clive Greated, Thomas Anantharaman, William R. Hogan, Howard Burkom, Andrew Moore, David L. Buckeridge, Apostol Natsev and Gary S. Pittman. Their work appears in journals such as The Journal of the Acoustical Society of America, Artificial Intelligence, IBM Journal of Research and Development, Applied Acoustics and Human Rights Law Review.
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.