Kevin D. Reilly
- Artificial Intelligence top 10%
- Molecular Biology
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Co-authors
- James J. BuckleyYonghui ChenAlan SpragueYoichi HayashiYongchang ChangJames W. HooperNorman W. BrayC. D. Moyes
- Topics
- Neural Networks and Applications (7 papers)Distributed and Parallel Computing Systems (6 papers)Fuzzy Logic and Control Systems (5 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- United StatesCanadaEgypt
In The Last Decade
Kevin D. Reilly
46 papers receiving 455 citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 155
- Molecular Biology 76
- Statistics and Probability 76
- Management Science and Operations Research 74
- Computer Networks and Communications 48
Countries citing papers authored by Kevin D. Reilly
This map shows the geographic impact of Kevin D. Reilly'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 Kevin D. Reilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin D. Reilly more than expected).
Fields of papers citing papers by Kevin D. Reilly
This network shows the impact of papers produced by Kevin D. Reilly. 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 Kevin D. Reilly. The network helps show where Kevin D. Reilly may publish in the future.
Co-authorship network of co-authors of Kevin D. Reilly
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Reilly. A scholar is included among the top collaborators of Kevin D. Reilly 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 Kevin D. Reilly. Kevin D. Reilly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Worlds of History: A Comparative Reader | 0 |
| 2 | 22 | |
| 3 | 35 | |
| 4 | 49 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 38 | |
| 13 | Neural Network and Hybrid Modeling of External Memory Strategy Acquisition in Humans and Intelligent Robots | 2 |
| 14 | Hierarchical neural networks. | 2 |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 29 | |
| 20 | 8 |
About Kevin D. Reilly
Kevin D. Reilly is a scholar working on Information Systems and Management, Artificial Intelligence and Hardware and Architecture, having authored 52 papers that have together received 495 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Distributed and Parallel Computing Systems (6 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Statistics and Probability (76 citations), Management Science and Operations Research (74 citations) and Artificial Intelligence (155 citations). Kevin D. Reilly has collaborated with scholars based in United States, Canada and Egypt. Frequent co-authors include James J. Buckley, Yonghui Chen, Alan Sprague, Yoichi Hayashi, Yongchang Chang, James W. Hooper, Norman W. Bray, C. D. Moyes, Julie A. K. McDonald and Francisco Hernández. Their work appears in journals such as Journal of Biological Chemistry, BMC Bioinformatics and Information Sciences.
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.