John Burge
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
-
- Network Security and Intrusion Detection
Papers in ⓘ
-
- Bayesian Modeling and Causal Inference 3
- Cognitive Science and Mapping 2
- Target Tracking and Data Fusion in Sensor Networks 2
- Seismology and Earthquake Studies 2
- Machine Learning in Healthcare 2
- Co-authors
- Terran Lane (4 shared papers)Frederick Hayes‐Roth (3 shared papers)Carl A. Sunshine (2 shared papers)Cathleen Stasz (2 shared papers)Stephanie Forrest (1 shared paper)Anil Somayaji (1 shared paper)Shibin Qiu (1 shared paper)Vincent P. Clark (1 shared paper)
- Journals
- Journal of Roman Archaeology (1 paper)Computer Networks (1 paper)NeuroImage (1 paper)Fire Technology (1 paper)Human Brain Mapping (1 paper)
- Partner nations
- United StatesIranCanada
In The Last Decade
John Burge
11 papers receiving 246 citations
Peers
Comparison fields: 5 of 63
- Signal Processing 45
- Computer Networks and Communications 84
- Artificial Intelligence 113
- Cognitive Neuroscience 67
- Hardware and Architecture 13
Countries citing papers authored by John Burge
This map shows the geographic impact of John Burge'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 Burge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Burge more than expected).
Fields of papers citing papers by John Burge
This network shows the impact of papers produced by John Burge. 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 Burge. The network helps show where John Burge may publish in the future.
Co-authors
The 19 scholars most cited alongside John Burge, 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 | 1981 | 69 | |
| 2 | 2006 | 53 | |
| 3 | 2008 | 46 | |
| 4 | 2007 | 43 | |
| 5 | 2002 | 20 | |
| 6 | 2023 | 12 | |
| 7 | 2005 | 9 | |
| 8 | 1988 | 7 | |
| 9 | 1978 | 3 | |
| 10 | 2003 | 2 | |
| 11 | 2005 | 1 | |
| 12 | DEVELOPMENT & VALIDATION OF A GENERIC 3-D VEHICLE MODEL & GUI FOR STUDYING THE HANDLING PERFORMANCE | 2004 | 1 |
| 13 | 2001 | 0 | |
| 14 | Learning bayesian networks from hierarchically related data with a neuroimaging application | 2007 | 0 |
About John Burge
John Burge is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Molecular Biology and Control and Systems Engineering, having authored 14 papers that have together received 266 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), Cognitive Science and Mapping (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Seismology and Earthquake Studies (2 papers), Machine Learning in Healthcare (2 papers), Optimization and Search Problems (1 paper), Fire Detection and Safety Systems (1 paper) and Vehicle Dynamics and Control Systems (1 paper). The work is most often cited by research in Signal Processing (45 citations), Computer Networks and Communications (84 citations), Artificial Intelligence (113 citations), Cognitive Neuroscience (67 citations) and Hardware and Architecture (13 citations). John Burge has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Terran Lane, Frederick Hayes‐Roth, Carl A. Sunshine, Cathleen Stasz, Stephanie Forrest, Anil Somayaji, Shibin Qiu, Vincent P. Clark, Vince D. Calhoun and Godfrey D. Pearlson. Their work appears in journals such as Journal of Roman Archaeology, Computer Networks, NeuroImage, Fire Technology and Human Brain Mapping.
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.