Brian E. Moore
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Numerical Analysis top 2%
- Numerical methods for differential equations
Papers in
-
- Sparse and Compressive Sensing Techniques 10
- Advanced Numerical Methods in Computational Mathematics 6
-
- Numerical methods for differential equations 10
- Differential Equations and Numerical Methods 4
- Co-authors
- Mubarak Shah (3 shared papers)Shandong Wu (1 shared paper)Sebastian Reich (3 shared papers)Berkan Solmaz (1 shared paper)John Paul Urbanski (5 shared papers)Monica S. Lam (5 shared papers)H. T. Kung (5 shared papers)George W. Cox (5 shared papers)
- Journals
- Journal of Neuropathology & Experimental Neurology (3 papers)Journal of Cellular Physiology (2 papers)Leukemia (2 papers)Journal of Scientific Computing (2 papers)Modern Pathology (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Brian E. Moore
62 papers receiving 1.9k citations
Brian E. Moore's Hit Papers
Peers
Comparison fields: 5 of 158
- Hardware and Architecture 343
- Numerical Analysis 270
- Computer Vision and Pattern Recognition 543
- Computer Networks and Communications 576
- Artificial Intelligence 559
Countries citing papers authored by Brian E. Moore
This map shows the geographic impact of Brian E. Moore'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 Brian E. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Moore more than expected).
Fields of papers citing papers by Brian E. Moore
This network shows the impact of papers produced by Brian E. Moore. 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 Brian E. Moore. The network helps show where Brian E. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian E. Moore, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes Hit paper breakdown → | 2010 | 374 |
| 2 | 1988 | 237 | |
| 3 | 2012 | 178 | |
| 4 | 2013 | 146 | |
| 5 | 1990 | 134 | |
| 6 | 2003 | 104 | |
| 7 | 2003 | 61 | |
| 8 | 2005 | 48 | |
| 9 | 2003 | 48 | |
| 10 | 2017 | 47 | |
| 11 | 2006 | 45 | |
| 12 | 2003 | 41 | |
| 13 | 2011 | 38 | |
| 14 | 2002 | 38 | |
| 15 | 1990 | 30 | |
| 16 | 2012 | 28 | |
| 17 | 2003 | 27 | |
| 18 | 2011 | 26 | |
| 19 | 2017 | 23 | |
| 20 | 2017 | 23 |
About Brian E. Moore
Brian E. Moore is a scholar working on Computational Mechanics, Numerical Analysis, Computer Networks and Communications, Biomedical Engineering and Genetics, having authored 73 papers that have together received 2.0k indexed citations. Recurring topics across this work include Numerical methods for differential equations (10 papers), Sparse and Compressive Sensing Techniques (10 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Mesenchymal stem cell research (5 papers), Parallel Computing and Optimization Techniques (5 papers), Electromagnetic Simulation and Numerical Methods (5 papers), Interconnection Networks and Systems (5 papers) and Differential Equations and Numerical Methods (4 papers). The work is most often cited by research in Hardware and Architecture (343 citations), Numerical Analysis (270 citations), Computer Vision and Pattern Recognition (543 citations), Computer Networks and Communications (576 citations) and Artificial Intelligence (559 citations). Brian E. Moore has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Mubarak Shah, Shandong Wu, Sebastian Reich, Berkan Solmaz, John Paul Urbanski, Monica S. Lam, H. T. Kung, George W. Cox, Robert Cohn and Shekhar Borkar. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Journal of Cellular Physiology, Leukemia, Journal of Scientific Computing and Modern Pathology.
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.