Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
2003Empirical study of particle swarm optimization
2003Multiobjective optimization using dynamic neighborhood particle swarm optimization
2002A modified particle swarm optimizer
2002Tracking and optimizing dynamic systems with particle swarms
2002A new optimizer using particle swarm theory
2002Comparing inertia weights and constriction factors in particle swarm optimization
2002Fuzzy adaptive particle swarm optimization
2002Particle swarm optimization
2002A discrete binary version of the particle swarm algorithm
This map shows the geographic impact of R.C. 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 R.C. Eberhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.C. Eberhart more than expected).
This network shows the impact of papers produced by R.C. 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 R.C. Eberhart. The network helps show where R.C. Eberhart may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R.C. Eberhart, linked wherever they have
co-authored with each other. Click a name or a connecting line to browse the papers they
share.
Border = papers with R.C. EberhartLine = papers co-authored togetherR.C. Eberhart links everyone, so they are left out of the graph.
IEEE Engineering in Medicine and Biology Magazine·R.C. Eberhart
1989
25
About R.C. Eberhart
R.C. Eberhart is a scholar working on Artificial Intelligence, Medical Laboratory Technology and Computational Theory and Mathematics, having authored 48 papers that have together received 65.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Fuzzy Logic and Control Systems (5 papers), EEG and Brain-Computer Interfaces (4 papers), Biomedical and Engineering Education (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Artificial Intelligence (27.6k citations), Computational Theory and Mathematics (11.3k citations) and Control and Systems Engineering (14.5k citations). R.C. Eberhart has collaborated with scholars based in United States and China. Frequent co-authors include James Kennedy, Yibing Shi, Yuhui Shi, Yan Shi, Xiaohui Hu, Xiaohui Hu, Yaobin Chen, Roy W. Dobbins, Zina Ben Miled and Xiang Xiao. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, NSUWorks (Nova Southeastern University), Journal of Agricultural Engineering Research, IEEE Transactions on Neural Networks and IEEE Engineering in Medicine and Biology Magazine.
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.