John D. Johnson
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Accounting top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Robert E. DorseyRandall S. SextonBahram AlidaeeAndrew B. WhinstonJosé B. TorresV. Scott H. SolbergOliver Finley GravesReza Barkhi
- Topics
- Neural Networks and Applications (9 papers)Metaheuristic Optimization Algorithms Research (8 papers)Parallel Computing and Optimization Techniques (5 papers)
- Journals
- European Journal of Operational ResearchJournal of Business ResearchExpert Systems with Applications
- Partner nations
- United StatesSouth Korea
In The Last Decade
John D. Johnson
28 papers receiving 727 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 379
- Management Science and Operations Research 165
- Accounting 79
- Electrical and Electronic Engineering 76
- Control and Systems Engineering 67
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-authorship network of co-authors of John D. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of John D. Johnson. A scholar is included among the top collaborators of John D. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John D. Johnson. John D. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | TO STOP A THIEF | 2 |
| 7 | Using artificial neural networks to predict losses in automobile insurance | 2 |
| 8 | 6 | |
| 9 | 173 | |
| 10 | 30 | |
| 11 | 80 | |
| 12 | 108 | |
| 13 | 180 | |
| 14 | 5 | |
| 15 | Evolution of Dynamic Reconfigurable Neural Networks: Energy Surface Optimality Using Genetic Algorithms | 2 |
| 16 | Advances in artificial intelligence in economics, finance, and management | 26 |
| 17 | 13 | |
| 18 | Expansion Caches For Superscalar Processors | 10 |
| 19 | Mission Orders in the United States Army: Is the Doctrine Effective | 2 |
| 20 | 5 |
About John D. Johnson
John D. Johnson is a scholar working on Hardware and Architecture, Management Science and Operations Research and Artificial Intelligence, having authored 30 papers that have together received 808 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Management Science and Operations Research (165 citations), Artificial Intelligence (379 citations) and Accounting (79 citations). John D. Johnson has collaborated with scholars based in United States and South Korea. Frequent co-authors include Robert E. Dorsey, Randall S. Sexton, Bahram Alidaee, Andrew B. Whinston, José B. Torres, V. Scott H. Solberg, Oliver Finley Graves, Reza Barkhi, Tabitha James and Hyeseon Lee. Their work appears in journals such as European Journal of Operational Research, Journal of Business Research and Expert Systems with Applications.
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.