John D. Johnson

1.2k total citations
30 papers, 808 citations indexed

About

John D. Johnson is a scholar working on Artificial Intelligence, Management Science and Operations Research and Hardware and Architecture. According to data from OpenAlex, John D. Johnson has authored 30 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Hardware and Architecture. Recurrent topics in John D. Johnson's work include Neural Networks and Applications (9 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Parallel Computing and Optimization Techniques (5 papers). John D. Johnson is often cited by papers focused on Neural Networks and Applications (9 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Parallel Computing and Optimization Techniques (5 papers). John D. Johnson collaborates with scholars based in United States and South Korea. John D. Johnson's 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 and has published in prestigious journals such as European Journal of Operational Research, Journal of Business Research and Expert Systems with Applications.

In The Last Decade

John D. Johnson

28 papers receiving 727 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John D. Johnson United States 11 379 165 79 76 67 30 808
Randall S. Sexton United States 15 567 1.5× 167 1.0× 47 0.6× 115 1.5× 105 1.6× 25 1.2k
Paul H. Kvam United States 20 116 0.3× 104 0.6× 36 0.5× 90 1.2× 95 1.4× 70 1.6k
Francisco Velasco Morente Spain 15 147 0.4× 141 0.9× 23 0.3× 60 0.8× 37 0.6× 81 822
Arie Ben‐David Israel 14 522 1.4× 139 0.8× 47 0.6× 14 0.2× 34 0.5× 28 1.1k
Li-Yueh Chen Taiwan 9 112 0.3× 177 1.1× 24 0.3× 218 2.9× 36 0.5× 13 675
Douglas Kline United States 9 111 0.3× 114 0.7× 54 0.7× 70 0.9× 20 0.3× 26 631
Luis E. Zárate Brazil 13 329 0.9× 217 1.3× 13 0.2× 115 1.5× 58 0.9× 128 948
Yo-Ping Huang Taiwan 12 262 0.7× 61 0.4× 41 0.5× 77 1.0× 33 0.5× 48 632
Javier G. Castellano Spain 14 467 1.2× 110 0.7× 144 1.8× 36 0.5× 46 0.7× 25 776
Linyi Yang China 10 687 1.8× 127 0.8× 14 0.2× 56 0.7× 38 0.6× 24 1.3k

Countries citing papers authored by John D. Johnson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Johnson, John D., et al.. (2024). Sport spectatorship in a virtual environment: how sensory experiences impact consumption intentions. International Journal of Sports Marketing and Sponsorship. 26(2). 305–324. 4 indexed citations
2.
Johnson, John D., et al.. (2024). Virtual Reality and Higher Education Sporting Events: Social Anxiety Perception as an Outcome of VR Simulation. Behavioral Sciences. 14(8). 695–695. 3 indexed citations
3.
Johnson, John D., et al.. (2015). Stream query processing on emerging memory architectures. 1–6. 1 indexed citations
4.
Kim, Yong Seog, Hyeseon Lee, & John D. Johnson. (2012). Churn management optimization with controllable marketing variables and associated management costs. Expert Systems with Applications. 40(6). 2198–2207. 9 indexed citations
5.
James, Tabitha, Reza Barkhi, & John D. Johnson. (2006). Platform impact on performance of parallel genetic algorithms: Design and implementation considerations. Engineering Applications of Artificial Intelligence. 19(8). 843–856. 10 indexed citations
6.
Johnson, John D.. (2000). TO STOP A THIEF. 2 indexed citations
7.
Kitchens, Fred L. & John D. Johnson. (2000). Using artificial neural networks to predict losses in automobile insurance. 2 indexed citations
8.
Alidaee, Bahram, et al.. (1999). A tour construction heuristic for the travelling salesman problem. Journal of the Operational Research Society. 50(8). 797–809. 6 indexed citations
9.
Sexton, Randall S., Robert E. Dorsey, & John D. Johnson. (1999). Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing. European Journal of Operational Research. 114(3). 589–601. 173 indexed citations
10.
Graves, Oliver Finley, et al.. (1999). The farmers home administration and farm debt failure prediction. Journal of Accounting and Public Policy. 18(2). 99–139. 30 indexed citations
11.
Solberg, V. Scott H., et al.. (1998). The Adaptive Success Identity Plan (ASIP): A Career Intervention for College Students. The Career Development Quarterly. 47(1). 48–95. 80 indexed citations
12.
Sexton, Randall S., Bahram Alidaee, Robert E. Dorsey, & John D. Johnson. (1998). Global optimization for artificial neural networks: A tabu search application. European Journal of Operational Research. 106(2-3). 570–584. 108 indexed citations
13.
Sexton, Randall S., Robert E. Dorsey, & John D. Johnson. (1998). Toward global optimization of neural networks: A comparison of the genetic algorithm and backpropagation. Decision Support Systems. 22(2). 171–185. 180 indexed citations
14.
Johnson, John D., et al.. (1997). Predicting total health care costs of medicaid recipients: An artificial neural systems approach. Journal of Business Research. 40(3). 191–197. 5 indexed citations
15.
Dorsey, Robert E. & John D. Johnson. (1997). Evolution of Dynamic Reconfigurable Neural Networks: Energy Surface Optimality Using Genetic Algorithms. 2 indexed citations
16.
Johnson, John D. & Andrew B. Whinston. (1994). Advances in artificial intelligence in economics, finance, and management. JAI Press eBooks. 26 indexed citations
17.
Dorsey, Robert E., et al.. (1994). A decision support system for in-sample simultaneous equation systems forecasting using artificial neural systems. Decision Support Systems. 11(5). 481–495. 13 indexed citations
18.
Johnson, John D.. (1994). Expansion Caches For Superscalar Processors. 10 indexed citations
19.
Johnson, John D.. (1990). Mission Orders in the United States Army: Is the Doctrine Effective. Defense Technical Information Center (DTIC). 2 indexed citations
20.
Johnson, John D., et al.. (1983). Implementation issues for a source level symbolic debugger (Extended Abstract). 149–151. 5 indexed citations

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.

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