R.C. Eberhart

89.0k total citations · 9 hit papers
48 papers, 65.1k citations indexed

About

R.C. Eberhart is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cognitive Neuroscience. According to data from OpenAlex, R.C. Eberhart has authored 48 papers receiving a total of 65.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Cognitive Neuroscience. Recurrent topics in R.C. Eberhart's work include Neural Networks and Applications (17 papers), Metaheuristic Optimization Algorithms Research (17 papers) and Evolutionary Algorithms and Applications (12 papers). R.C. Eberhart is often cited by papers focused on Neural Networks and Applications (17 papers), Metaheuristic Optimization Algorithms Research (17 papers) and Evolutionary Algorithms and Applications (12 papers). R.C. Eberhart collaborates with scholars based in United States and China. R.C. Eberhart's co-authors include James Kennedy, Yibing Shi, Yuhui Shi, Yan Shi, Xiaohui Hu, Xiaohui Hu, Yaobin Chen, Roy W. Dobbins, Zina Ben Miled and Ernst R. Dow and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and PubMed.

In The Last Decade

R.C. Eberhart

46 papers receiving 61.8k citations

Hit Papers

Particle swarm optimization 2002 2026 2010 2018 2002 2002 2002 2002 2003 10.0k 20.0k 30.0k
What are hit papers?

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.

  1. Particle swarm optimization
    2002 33.7k citations James Kennedy, R.C. Eberhart profile →
  2. A new optimizer using particle swarm theory
    2002 11.1k citations R.C. Eberhart, James Kennedy profile →
  3. A modified particle swarm optimizer
    2002 7.6k citations Yibing Shi, R.C. Eberhart profile →
  4. A discrete binary version of the particle swarm algorithm
    2002 3.5k citations James Kennedy, R.C. Eberhart profile →
  5. Empirical study of particle swarm optimization
    2003 3.0k citations Yibing Shi, R.C. Eberhart profile →
  6. Comparing inertia weights and constriction factors in particle swarm optimization
    2002 2.2k citations R.C. Eberhart, Yan Shi profile →
  7. Fuzzy adaptive particle swarm optimization
    2002 808 citations Yuhui Shi, R.C. Eberhart profile →
  8. Tracking and optimizing dynamic systems with particle swarms
    2002 786 citations R.C. Eberhart, Yuhui Shi profile →
  9. Multiobjective optimization using dynamic neighborhood particle swarm optimization
    2003 458 citations Xiaohui Hu, R.C. Eberhart profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R.C. Eberhart United States 21 27.6k 14.9k 14.5k 11.3k 6.9k 48 65.1k
James Kennedy United States 23 32.3k 1.2× 17.2k 1.2× 16.4k 1.1× 13.6k 1.2× 8.1k 1.2× 38 77.0k
Seyedali Mirjalili Australia 112 50.6k 1.8× 21.2k 1.4× 15.2k 1.0× 20.7k 1.8× 12.6k 1.8× 551 99.6k
Kalyanmoy Deb United States 88 40.8k 1.5× 13.3k 0.9× 12.4k 0.9× 43.5k 3.9× 4.6k 0.7× 566 101.6k
David Silver United States 42 22.8k 0.8× 8.8k 0.6× 7.8k 0.5× 4.1k 0.4× 7.8k 1.1× 99 48.4k
Marco Dorigo Belgium 73 22.8k 0.8× 5.7k 0.4× 5.4k 0.4× 8.4k 0.7× 6.6k 1.0× 354 53.2k
Ponnuthurai Nagaratnam Suganthan Singapore 104 30.5k 1.1× 8.6k 0.6× 6.2k 0.4× 18.3k 1.6× 4.8k 0.7× 556 50.6k
David E. Goldberg United States 71 19.9k 0.7× 5.1k 0.3× 4.7k 0.3× 9.4k 0.8× 3.3k 0.5× 305 46.6k
Jun Zhang China 103 17.8k 0.6× 7.3k 0.5× 4.1k 0.3× 10.0k 0.9× 4.0k 0.6× 2.7k 56.5k
Jürgen Schmidhuber Switzerland 56 43.5k 1.6× 14.2k 1.0× 7.6k 0.5× 2.4k 0.2× 23.5k 3.4× 240 104.9k
Lotfi A. Zadeh United States 63 37.1k 1.3× 3.4k 0.2× 14.9k 1.0× 19.4k 1.7× 4.8k 0.7× 241 89.9k

Countries citing papers authored by R.C. Eberhart

Since Specialization
Citations

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).

Fields of papers citing papers by R.C. Eberhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of R.C. Eberhart

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

All Works

20 of 20 papers shown
1.
Rabinovich, M. I., et al.. (2012). Particle Swarm Optimization on a GPU. 1–6. 12 indexed citations
2.
Eberhart, R.C. & Roy W. Dobbins. (2005). Using Neural Networks In Hybrid Medical Diagnostic Systems. 1470–1471. 1 indexed citations
3.
Hu, Xiaohui, Yuhui Shi, & R.C. Eberhart. (2004). Recent advances in particle swarm. 90–97. 353 indexed citations
4.
Hu, Xiaohui, R.C. Eberhart, & Yuhui Shi. (2004). Swarm intelligence for permutation optimization: a case study of n-queens problem. 243–246. 123 indexed citations
5.
Eberhart, R.C., Roy W. Dobbins, & W. R. Webber. (2003). CaseNet: a neural network tool for EEG waveform classification. 60–68. 12 indexed citations
6.
Shi, Yibing & R.C. Eberhart. (2003). Empirical study of particle swarm optimization. 1945–1950. 3005 indexed citations breakdown →
7.
Hu, Xiaohui & R.C. Eberhart. (2003). Multiobjective optimization using dynamic neighborhood particle swarm optimization. 2. 1677–1681. 458 indexed citations breakdown →
8.
Hu, Xiaohui & R.C. Eberhart. (2003). Adaptive particle swarm optimization: detection and response to dynamic systems. 2. 1666–1670. 223 indexed citations
9.
Kennedy, James & R.C. Eberhart. (2002). Particle swarm optimization. 4. 1942–1948. 33711 indexed citations breakdown →
10.
Webber, W. R., et al.. (2002). Detection of epileptiform spikes in the EEG using a patient-independent neural network. 29. 264–271. 5 indexed citations
11.
He, Zhenya, et al.. (2002). Extracting rules from fuzzy neural network by particle swarm optimisation. 74–77. 26 indexed citations
12.
Eberhart, R.C., et al.. (2002). Neural network paradigm comparisons for appendicitis diagnoses. 298–304. 8 indexed citations
13.
Eberhart, R.C. & Yan Shi. (2002). Comparing inertia weights and constriction factors in particle swarm optimization. 1. 84–88. 2223 indexed citations breakdown →
14.
Shi, Yuhui & R.C. Eberhart. (2002). Review of biomedical applications of computational intelligence. 3. 1116–1120. 1 indexed citations
15.
Shi, Yibing & R.C. Eberhart. (2002). A modified particle swarm optimizer. 69–73. 7609 indexed citations breakdown →
16.
Eberhart, R.C., et al.. (1998). Myocardial Infarction Diagnosis by a Neural Network. NSUWorks (Nova Southeastern University). 85–89. 4 indexed citations
17.
Eberhart, R.C.. (1990). Standardization of neural network terminology. IEEE Transactions on Neural Networks. 1(2). 244–245. 6 indexed citations
18.
Eberhart, R.C. & Roy W. Dobbins. (1990). Early neural network development history: the age of Camelot. IEEE Engineering in Medicine and Biology Magazine. 9(3). 15–18. 20 indexed citations
19.
Eberhart, R.C. & E. Micheli-Tzanakou. (1990). Neural networks for engineering in medicine and biology. IEEE Transactions on Neural Networks. 1(4). 305–306. 7 indexed citations
20.
Eberhart, R.C.. (1989). Chaos theory for the biomedical engineer. IEEE Engineering in Medicine and Biology Magazine. 8(3). 41–45. 25 indexed citations

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.

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