Thomas Burr
Impact in
- Signal Processing top 5%
- Time Series Analysis and Forecasting
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in
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- Nuclear Physics and Applications 3
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- Nuclear reactor physics and engineering 3
- Co-authors
- Andrea Favalli (2 shared papers)Holly Trellue (2 shared papers)J.S. Hendricks (1 shared paper)Shraddha J. Vachhani (1 shared paper)Siddhartha Pathak (1 shared paper)D. Henzlová (2 shared papers)William Charlton (1 shared paper)John M. Finn (1 shared paper)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2 papers)Technometrics (2 papers)Physics of Plasmas (1 paper)JOM (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Thomas Burr
6 papers receiving 1.0k citations
Thomas Burr's Hit Papers
Peers
Comparison fields: 5 of 157
- Signal Processing 113
- Artificial Intelligence 297
- Computer Vision and Pattern Recognition 150
- General Economics, Econometrics and Finance 46
- Finance 50
Countries citing papers authored by Thomas Burr
This map shows the geographic impact of Thomas Burr'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 Thomas Burr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Burr more than expected).
Fields of papers citing papers by Thomas Burr
This network shows the impact of papers produced by Thomas Burr. 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 Thomas Burr. The network helps show where Thomas Burr may publish in the future.
Co-authors
The 12 scholars most cited alongside Thomas Burr, 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 | Pattern Recognition and Machine Learning Hit paper breakdown → | 2008 | 792 |
| 2 | 2007 | 224 | |
| 3 | 2020 | 7 | |
| 4 | 2004 | 5 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 1 | |
| 7 | 2023 | 0 | |
| 8 | Monte Carlo Modeling of the Californium-Interrogation with Prompt Neutron (CIPN) Device for Spent Nuclear Fuel Measurements | 2014 | 0 |
About Thomas Burr
Thomas Burr is a scholar working on Radiation, Aerospace Engineering, Materials Chemistry, Signal Processing and Management Science and Operations Research, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nuclear Physics and Applications (3 papers), Nuclear reactor physics and engineering (3 papers), Nuclear Materials and Properties (2 papers), Time Series Analysis and Forecasting (2 papers), Stock Market Forecasting Methods (2 papers), Anomaly Detection Techniques and Applications (1 paper), Magnetic confinement fusion research (1 paper) and Bone Tissue Engineering Materials (1 paper). The work is most often cited by research in Signal Processing (113 citations), Artificial Intelligence (297 citations), Computer Vision and Pattern Recognition (150 citations), General Economics, Econometrics and Finance (46 citations) and Finance (50 citations). Thomas Burr has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Andrea Favalli, Holly Trellue, J.S. Hendricks, Shraddha J. Vachhani, Siddhartha Pathak, D. Henzlová, William Charlton, John M. Finn, D. P. Brennan and Surya R. Kalidindi. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Technometrics, Physics of Plasmas, JOM and Journal of the American Statistical Association.
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.