Peter A. Beling
Impact in
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques
- Reinforcement Learning in Robotics
- Anomaly Detection Techniques and Applications
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- Stock Market Forecasting Methods
Papers in
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- Reinforcement Learning in Robotics 13
- Imbalanced Data Classification Techniques 11
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- Stock Market Forecasting Methods 16
- Co-authors
- Stephen Adams (54 shared papers)Tyler Cody (30 shared papers)William T. Scherer (30 shared papers)Robert Mahoney (1 shared paper)Jingyi Sun (1 shared paper)Steve Y. Yang (11 shared papers)Randy Cogill (2 shared papers)Andrew Todd (13 shared papers)
- Journals
- Environment Systems & Decisions (9 papers)Journal of the Operational Research Society (6 papers)IEEE Access (2 papers)Artificial Intelligence and Law (2 papers)Artificial Intelligence Review (2 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Peter A. Beling
174 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 741
- Management Science and Operations Research 266
- Accounting 207
- Finance 179
- Medical Laboratory Technology 21
Countries citing papers authored by Peter A. Beling
This map shows the geographic impact of Peter A. Beling'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 Peter A. Beling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter A. Beling more than expected).
Fields of papers citing papers by Peter A. Beling
This network shows the impact of papers produced by Peter A. Beling. 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 Peter A. Beling. The network helps show where Peter A. Beling may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter A. Beling, 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 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 173 | |
| 2 | 2017 | 64 | |
| 3 | 2012 | 60 | |
| 4 | 2022 | 58 | |
| 5 | 2021 | 58 | |
| 6 | 2021 | 54 | |
| 7 | 2020 | 52 | |
| 8 | 2020 | 49 | |
| 9 | 2012 | 46 | |
| 10 | 2000 | 44 | |
| 11 | 2017 | 43 | |
| 12 | 2017 | 42 | |
| 13 | 2017 | 41 | |
| 14 | 2016 | 37 | |
| 15 | 2015 | 34 | |
| 16 | 2020 | 30 | |
| 17 | 2014 | 28 | |
| 18 | 2015 | 28 | |
| 19 | 1998 | 27 | |
| 20 | 2022 | 25 |
About Peter A. Beling
Peter A. Beling is a scholar working on Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering, Economics and Econometrics and Finance, having authored 190 papers that have together received 1.9k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (21 papers), Complex Systems and Time Series Analysis (21 papers), Fault Detection and Control Systems (16 papers), Systems Engineering Methodologies and Applications (16 papers), Stock Market Forecasting Methods (16 papers), Reinforcement Learning in Robotics (13 papers), Information and Cyber Security (11 papers) and Imbalanced Data Classification Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (741 citations), Management Science and Operations Research (266 citations), Accounting (207 citations), Finance (179 citations) and Medical Laboratory Technology (21 citations). Peter A. Beling has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Stephen Adams, Tyler Cody, William T. Scherer, Robert Mahoney, Jingyi Sun, Steve Y. Yang, Randy Cogill, Andrew Todd, Mark E. Paddrik and George A. Overstreet. Their work appears in journals such as Environment Systems & Decisions, Journal of the Operational Research Society, IEEE Access, Artificial Intelligence and Law and Artificial Intelligence 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.