R. Paul Wiegand

1.4k total citations
43 papers, 710 citations indexed

About

R. Paul Wiegand is a scholar working on Artificial Intelligence, Sociology and Political Science and Genetics. According to data from OpenAlex, R. Paul Wiegand has authored 43 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Sociology and Political Science and 9 papers in Genetics. Recurrent topics in R. Paul Wiegand's work include Evolutionary Algorithms and Applications (20 papers), Evolutionary Game Theory and Cooperation (12 papers) and Metaheuristic Optimization Algorithms Research (10 papers). R. Paul Wiegand is often cited by papers focused on Evolutionary Algorithms and Applications (20 papers), Evolutionary Game Theory and Cooperation (12 papers) and Metaheuristic Optimization Algorithms Research (10 papers). R. Paul Wiegand collaborates with scholars based in United States, Germany and Netherlands. R. Paul Wiegand's co-authors include Kenneth De Jong, Thomas Jansen, Sean Luke, Liviu Panait, Mitchell A. Potter, Amruth N. Kumar, Jennifer Albert, Annie S. Wu, Kenneth O. Stanley and Edwin D. de Jong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Reliability.

In The Last Decade

R. Paul Wiegand

39 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Paul Wiegand United States 12 505 184 159 105 91 43 710
Robert H. Crites United States 6 419 0.8× 94 0.5× 86 0.5× 20 0.2× 171 1.9× 7 738
Sevan G. Ficici United States 13 344 0.7× 195 1.1× 49 0.3× 132 1.3× 102 1.1× 21 591
Jialin Liu China 14 643 1.3× 151 0.8× 61 0.4× 18 0.2× 36 0.4× 91 890
Katja Verbeeck Belgium 16 253 0.5× 79 0.4× 58 0.4× 20 0.2× 327 3.6× 60 670
Katherine M. Malan South Africa 15 547 1.1× 21 0.1× 319 2.0× 33 0.3× 26 0.3× 44 745
Jörg Denzinger Canada 15 503 1.0× 83 0.5× 75 0.5× 8 0.1× 65 0.7× 95 815
Zhaoxu Yu China 21 141 0.3× 94 0.5× 345 2.2× 10 0.1× 24 0.3× 81 1.1k
not Cwi Netherlands 11 288 0.6× 279 1.5× 90 0.6× 13 0.1× 23 0.3× 27 803
Noam Brown United States 9 495 1.0× 105 0.6× 32 0.2× 5 0.0× 170 1.9× 19 692
Vaibhav Srivastava United States 14 159 0.3× 34 0.2× 19 0.1× 18 0.2× 127 1.4× 70 544

Countries citing papers authored by R. Paul Wiegand

Since Specialization
Citations

This map shows the geographic impact of R. Paul Wiegand'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. Paul Wiegand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Paul Wiegand more than expected).

Fields of papers citing papers by R. Paul Wiegand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Paul Wiegand. 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. Paul Wiegand. The network helps show where R. Paul Wiegand may publish in the future.

Co-authorship network of co-authors of R. Paul Wiegand

This figure shows the co-authorship network connecting the top 25 collaborators of R. Paul Wiegand. A scholar is included among the top collaborators of R. Paul Wiegand 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. Paul Wiegand. R. Paul Wiegand 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.
Wiegand, R. Paul, et al.. (2023). Mitigating Catastrophic Forgetting with Complementary Layered Learning. Electronics. 12(3). 706–706. 3 indexed citations
2.
Kider, Joseph T., et al.. (2021). PARTICLE-BASED FLOW VORTICITY ANALYSIS BY USE OF SECOND-GENERATION WAVELETS. WIT transactions on engineering sciences. 1. 51–60.
3.
Wiegand, R. Paul. (2021). Population-Based Novelty Searches Can Converge. SHILAP Revista de lepidopterología. 34(1). 1 indexed citations
4.
Wiegand, R. Paul. (2020). The Objective of Simple Novelty Search.. The Florida AI Research Society. 166–171. 2 indexed citations
5.
Wiegand, R. Paul, et al.. (2018). Selection Methods to Relax Strict Acceptance Condition in Test-Based Coevolution. Journal of International Crisis and Risk Communication Research. 1–8. 1 indexed citations
6.
Wiegand, R. Paul, et al.. (2018). Towards investigation of iterative strategy for data mining of short-term traffic flow with Recurrent Neural Networks. Journal of International Crisis and Risk Communication Research. 65–69. 3 indexed citations
7.
Wiegand, R. Paul, et al.. (2017). Evolutionary Practice Problems Generation: More Design Guidelines.. Journal of International Crisis and Risk Communication Research. 549–554. 3 indexed citations
8.
Wiegand, R. Paul, et al.. (2017). Evaluating multi-criteria Connection mechanisms: A new algorithm for browsing digital archives. Digital Scholarship in the Humanities. 33(3). 540–547. 1 indexed citations
9.
Wiegand, R. Paul, et al.. (2017). Exploring solution methods for fault trees constrained by location. Journal of International Crisis and Risk Communication Research. 1–6. 1 indexed citations
10.
Wiegand, R. Paul, et al.. (2016). Using L-Systems to Generate Fault Trees for Benchmarking and Testing.. Journal of International Crisis and Risk Communication Research. 173–178. 1 indexed citations
11.
Wiegand, R. Paul, et al.. (2016). A Data-Driven Analysis of Informatively Hard Concepts in Introductory Programming. Journal of International Crisis and Risk Communication Research. 370–375. 16 indexed citations
12.
Kumar, Amruth N., et al.. (2016). Evolutionary Practice Problems Generation: Design Guidelines. 544–548. 4 indexed citations
13.
Wu, Annie S., et al.. (2013). Using response probability to build system redundancy in multiagent systems. Adaptive Agents and Multi-Agents Systems. 1343–1344.
14.
Prager, Steven D. & R. Paul Wiegand. (2013). Modeling Use of Space from Social Media Data Using a Biased Random Walker. Transactions in GIS. 18(6). 817–833. 4 indexed citations
15.
Wu, Annie S., et al.. (2012). The Effects of Inter-Agent Variation on Developing Stable and Robust Teams.. Journal of International Crisis and Risk Communication Research. 1 indexed citations
16.
Wiegand, R. Paul & Kenneth De Jong. (2004). An analysis of cooperative coevolutionary algorithms. 179 indexed citations
17.
Panait, Liviu, R. Paul Wiegand, & Sean Luke. (2003). Improving coevolutionary search for optimal multiagent behaviors. 653–658. 24 indexed citations
18.
Jansen, Thomas & R. Paul Wiegand. (2003). Sequential versus parallel cooperative coevolutionary (1+1) EAs. 30–37 Vol.1. 13 indexed citations
19.
Wiegand, R. Paul, et al.. (2003). Analyzing cooperative coevolution with evolutionary game theory. 2. 1600–1605. 43 indexed citations
20.
Wiegand, R. Paul, et al.. (2001). An empirical analysis of collaboration methods in cooperative coevolutionary algorithms. Genetic and Evolutionary Computation Conference. 1235–1242. 133 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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