John MacCormick
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 2%
- Target Tracking and Data Fusion in Sensor Networks
- Anomaly Detection Techniques and Applications
Papers in
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- Teaching and Learning Programming 3
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- Advanced Vision and Imaging 6
- Advanced Image and Video Retrieval Techniques 3
- Co-authors
- Michael IsardAndrew BlakeJames M. RehgVladimir PavlovićLidong ZhouChandramohan A. ThekkathJ.L. SullivanNicholas A. Murphy
- Journals
- International Journal of Computer Vision (2 papers)ACM Transactions on Storage (2 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Journal of Intelligence (1 paper)ACM Transactions on Computing Education (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
John MacCormick
34 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 588
- Computer Networks and Communications 348
- Human-Computer Interaction 83
- Signal Processing 143
Countries citing papers authored by John MacCormick
This map shows the geographic impact of John MacCormick'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 John MacCormick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John MacCormick more than expected).
Fields of papers citing papers by John MacCormick
This network shows the impact of papers produced by John MacCormick. 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 John MacCormick. The network helps show where John MacCormick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John MacCormick, 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 | 2020 | 1 | |
| 2 | 2018 | 1 | |
| 3 | 2018 | 1 | |
| 4 | 2018 | 2 | |
| 5 | 2013 | 7 | |
| 6 | 2012 | 18 | |
| 7 | 2011 | 3 | |
| 8 | 2009 | 16 | |
| 9 | Continuously-adaptive discretization for message-passing algorithms | 2008 | 15 |
| 10 | Discovering Dependencies for Network Management. | 2006 | 32 |
| 11 | 2006 | 3 | |
| 12 | Dense motion and disparity estimation via loopy belief propagation | 2005 | 2 |
| 13 | 2005 | 22 | |
| 14 | Boxwood: abstractions as the foundation for storage infrastructure | 2004 | 135 |
| 15 | Myriad: cost-effective disaster tolerance | 2002 | 45 |
| 16 | 2002 | 28 | |
| 17 | 2001 | 39 | |
| 18 | Learning Switching Linear Models of Human Motion | 2000 | 206 |
| 19 | 2000 | 197 | |
| 20 | 1999 | 86 |
About John MacCormick
John MacCormick is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (6 papers), Advanced Vision and Imaging (6 papers), Distributed systems and fault tolerance (5 papers), Caching and Content Delivery (4 papers), Bayesian Methods and Mixture Models (3 papers), Software Engineering Research (3 papers), Teaching and Learning Programming (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (588 citations), Computer Networks and Communications (348 citations), Human-Computer Interaction (83 citations) and Signal Processing (143 citations). John MacCormick has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Michael Isard, Andrew Blake, Andrew Blake, James M. Rehg, Vladimir Pavlović, Lidong Zhou, Chandramohan A. Thekkath, J.L. Sullivan, Nicholas A. Murphy and Marc Najork. Their work appears in journals such as International Journal of Computer Vision, ACM Transactions on Storage, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Intelligence and ACM Transactions on Computing Education.
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.