John D. Johnson
Impact in
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- Stock Market Forecasting Methods
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Fuzzy Logic and Control Systems
- Evolutionary Algorithms and Applications
- Imbalanced Data Classification Techniques
Papers in
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- Neural Networks and Applications 10
- Metaheuristic Optimization Algorithms Research 8
- Evolutionary Algorithms and Applications 2
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- Stock Market Forecasting Methods 5
- Co-authors
- Robert E. Dorsey (9 shared papers)Randall S. Sexton (5 shared papers)Bahram Alidaee (3 shared papers)Andrew B. Whinston (1 shared paper)V. Scott H. Solberg (1 shared paper)José B. Torres (1 shared paper)Oliver Finley Graves (1 shared paper)Mark Van Boening (1 shared paper)
- Journals
- European Journal of Operational Research (2 papers)Decision Support Systems (2 papers)Expert Systems with Applications (1 paper)ACM SIGPLAN Notices (1 paper)The Career Development Quarterly (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
John D. Johnson
29 papers receiving 843 citations
Peers
Comparison fields: 5 of 113
- Management Science and Operations Research 205
- Artificial Intelligence 451
- Accounting 90
- Industrial and Manufacturing Engineering 55
- Safety Research 39
Countries citing papers authored by John D. Johnson
This map shows the geographic impact of John D. Johnson'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 D. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Johnson more than expected).
Fields of papers citing papers by John D. Johnson
This network shows the impact of papers produced by John D. Johnson. 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 D. Johnson. The network helps show where John D. Johnson may publish in the future.
Co-authors
The 22 scholars most cited alongside John D. Johnson, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 209 | |
| 2 | 1999 | 190 | |
| 3 | 1998 | 121 | |
| 4 | 1990 | 108 | |
| 5 | 1998 | 82 | |
| 6 | 1999 | 34 | |
| 7 | 1999 | 33 | |
| 8 | Advances in artificial intelligence in economics, finance, and management | 1994 | 32 |
| 9 | 1994 | 27 | |
| 10 | 1994 | 17 | |
| 11 | 2006 | 10 | |
| 12 | Expansion Caches For Superscalar Processors | 1994 | 10 |
| 13 | 2012 | 9 | |
| 14 | 1983 | 8 | |
| 15 | 1997 | 8 | |
| 16 | 1999 | 7 | |
| 17 | 1983 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 3 | |
| 20 | TO STOP A THIEF | 2000 | 2 |
About John D. Johnson
John D. Johnson is a scholar working on Artificial Intelligence, Management Science and Operations Research, Hardware and Architecture, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 31 papers that have together received 936 indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Metaheuristic Optimization Algorithms Research (8 papers), Stock Market Forecasting Methods (5 papers), Parallel Computing and Optimization Techniques (5 papers), Embedded Systems Design Techniques (3 papers), Numerical Methods and Algorithms (3 papers), Virtual Reality Applications and Impacts (2 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Management Science and Operations Research (205 citations), Artificial Intelligence (451 citations), Accounting (90 citations), Industrial and Manufacturing Engineering (55 citations) and Safety Research (39 citations). John D. Johnson has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Robert E. Dorsey, Randall S. Sexton, Bahram Alidaee, Andrew B. Whinston, V. Scott H. Solberg, José B. Torres, Oliver Finley Graves, Mark Van Boening, Tabitha James and Reza Barkhi. Their work appears in journals such as European Journal of Operational Research, Decision Support Systems, Expert Systems with Applications, ACM SIGPLAN Notices and The Career Development Quarterly.
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.