Jim Kennedy

554 citations
10 papers · 364 indexed · h-index 5
Topics
Metaheuristic Optimization Algorithms Research (4 papers)Bayesian Methods and Mixture Models (3 papers)Statistical Methods and Bayesian Inference (2 papers)

In The Last Decade

Jim Kennedy

9 papers receiving 325 citations

Peers

Jim Kennedy
Comparison fields: 5 of 79
  • Artificial Intelligence 145
  • Electrical and Electronic Engineering 68
  • Control and Systems Engineering 67
  • Computational Theory and Mathematics 67
  • Ocean Engineering 31
Replace Keigo Yamada with:
Keigo Yamada Japan
J.L. Maryak United States
Naresh Iyer United States
Ling-po Li China
Danilo Macciò Italy
Morteza Alinia Ahandani Iran
Severino F. Galán Spain
Lars Nolle United Kingdom
Lingjie Li China
Huaguang Zhang China
Jim Kennedy relative to Keigo Yamada Japan Keigo Yamada's profile →
Citations per field
00.5×10×13×
Keigo Yamada · 1×
Citations per year

Countries citing papers authored by Jim Kennedy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jim Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Kennedy. A scholar is included among the top collaborators of Jim Kennedy 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 Jim Kennedy. Jim Kennedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 42
3 7
4 278
5
Transformation Concepts and Technologies: DRDC Tiger Team analysis of Transformation implications
2
6 17
7
Qualification of existing data for high-level nuclear waste repositories: Generic technical position
1
8 4
9 10
10
Peer review for high-level nuclear waste repositories: Generic technical position
1

About Jim Kennedy

Jim Kennedy is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Artificial Intelligence, 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) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Artificial Intelligence (145 citations), Computational Theory and Mathematics (67 citations) and Control and Systems Engineering (67 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 The Annals of Probability, Journal of Applied Probability and Swarm Intelligence.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026