Jim Kennedy
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
-
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 4
- Bayesian Methods and Mixture Models 3
- Evolutionary Algorithms and Applications 2
-
- Nuclear and radioactivity studies 2
- Co-authors
- Riccardo Poli (4 shared papers)Tim Blackwell (3 shared papers)M. P. Quine (3 shared papers)Alex A. Freitas (1 shared paper)Lars Holst (2 shared papers)John P. Donnelly (2 shared papers)Andries P. Engelbrecht (1 shared paper)
- Journals
- Journal of Applied Probability (2 papers)The Annals of Probability (1 paper)Swarm Intelligence (1 paper)SSRN Electronic Journal (1 paper)Kent Academic Repository (University of Kent) (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Jim Kennedy
9 papers receiving 325 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 145
- Computational Theory and Mathematics 67
- Control and Systems Engineering 67
- Industrial and Manufacturing Engineering 27
- Ocean Engineering 31
Countries citing papers authored by Jim Kennedy
This map shows the geographic impact of Jim Kennedy'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 Jim Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Kennedy more than expected).
Fields of papers citing papers by Jim Kennedy
This network shows the impact of papers produced by Jim Kennedy. 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 Jim Kennedy. The network helps show where Jim Kennedy may publish in the future.
Co-authors
The 7 scholars most cited alongside Jim Kennedy, 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 | 2007 | 277 | |
| 2 | 2008 | 43 | |
| 3 | 1989 | 17 | |
| 4 | 1988 | 10 | |
| 5 | 2007 | 7 | |
| 6 | 1988 | 4 | |
| 7 | 2009 | 2 | |
| 8 | Transformation Concepts and Technologies: DRDC Tiger Team analysis of Transformation implications | 2004 | 2 |
| 9 | Qualification of existing data for high-level nuclear waste repositories: Generic technical position | 1988 | 1 |
| 10 | Peer review for high-level nuclear waste repositories: Generic technical position | 1988 | 1 |
About Jim Kennedy
Jim Kennedy is a scholar working on Artificial Intelligence, Safety, Risk, Reliability and Quality, Statistics and Probability, Control and Systems Engineering and Materials Chemistry, having authored 10 papers that have together received 364 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Bayesian Methods and Mixture Models (3 papers), Evolutionary Algorithms and Applications (2 papers), Statistical Methods and Bayesian Inference (2 papers), Nuclear and radioactivity studies (2 papers), Statistical Methods and Inference (2 papers), Graphite, nuclear technology, radiation studies (2 papers) and Mathematical functions and polynomials (1 paper). The work is most often cited by research in Artificial Intelligence (145 citations), Computational Theory and Mathematics (67 citations), Control and Systems Engineering (67 citations), Industrial and Manufacturing Engineering (27 citations) and Ocean Engineering (31 citations). Jim Kennedy has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Riccardo Poli, Tim Blackwell, M. P. Quine, Alex A. Freitas, Lars Holst, John P. Donnelly and Andries P. Engelbrecht. Their work appears in journals such as Journal of Applied Probability, The Annals of Probability, Swarm Intelligence, SSRN Electronic Journal and Kent Academic Repository (University of Kent).
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.