Russ Eberhart
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 4
- Evolutionary Algorithms and Applications 3
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- UAV Applications and Optimization 1
- Co-authors
- Roy W. Dobbins (1 shared paper)Yuhui Shi (1 shared paper)Feng Pan (2 shared papers)Xiaohui Hu (2 shared papers)Yaobin Chen (2 shared papers)
- Journals
- IUScholarWorks (Indiana University) (2 papers)Frontiers of Computer Science in China (1 paper)Medical Entomology and Zoology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Russ Eberhart
5 papers receiving 549 citations
Russ Eberhart's Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 295
- Computational Theory and Mathematics 129
- Control and Systems Engineering 109
- Numerical Analysis 21
- Industrial and Manufacturing Engineering 38
Countries citing papers authored by Russ Eberhart
This map shows the geographic impact of Russ Eberhart'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 Russ Eberhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russ Eberhart more than expected).
Fields of papers citing papers by Russ Eberhart
This network shows the impact of papers produced by Russ Eberhart. 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 Russ Eberhart. The network helps show where Russ Eberhart may publish in the future.
Co-authors
The 5 scholars most cited alongside Russ Eberhart, 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 | Computational intelligence PC tools Hit paper breakdown → | 1996 | 487 |
| 2 | 2009 | 53 | |
| 3 | 2008 | 23 | |
| 4 | 2008 | 14 | |
| 5 | 2015 | 3 | |
| 6 | 2015 | 0 |
About Russ Eberhart
Russ Eberhart is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 6 papers that have together received 580 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Evolutionary Algorithms and Applications (3 papers), Artificial Immune Systems Applications (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper), Vehicle Routing Optimization Methods (1 paper), UAV Applications and Optimization (1 paper), Distributed Control Multi-Agent Systems (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (295 citations), Computational Theory and Mathematics (129 citations), Control and Systems Engineering (109 citations), Numerical Analysis (21 citations) and Industrial and Manufacturing Engineering (38 citations). Russ Eberhart has collaborated with scholars based in United States and China. Frequent co-authors include Roy W. Dobbins, Yuhui Shi, Feng Pan, Xiaohui Hu and Yaobin Chen. Their work appears in journals such as IUScholarWorks (Indiana University), Frontiers of Computer Science in China and Medical Entomology and Zoology.
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.