Robert B. Heckendorn

1.7k total citations
39 papers, 742 citations indexed

About

Robert B. Heckendorn is a scholar working on Artificial Intelligence, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Robert B. Heckendorn has authored 39 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 6 papers in Molecular Biology. Recurrent topics in Robert B. Heckendorn's work include Evolutionary Algorithms and Applications (14 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Evolutionary Game Theory and Cooperation (7 papers). Robert B. Heckendorn is often cited by papers focused on Evolutionary Algorithms and Applications (14 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Evolutionary Game Theory and Cooperation (7 papers). Robert B. Heckendorn collaborates with scholars based in United States, China and India. Robert B. Heckendorn's co-authors include Darrell Whitley, Soraya Rana, Daniel Weinreich, C. Scott Wylie, Terence Soule, Alden H. Wright, Jacob D. Jaffe, Armand Bankhead, L. Darrell Whitley and Nancy S. Magnuson and has published in prestigious journals such as Information Sciences, Journal of Theoretical Biology and Current Opinion in Genetics & Development.

In The Last Decade

Robert B. Heckendorn

34 papers receiving 722 citations

Peers

Robert B. Heckendorn
Comparison fields: 5 of 97
  • Artificial Intelligence 325
  • Genetics 258
  • Molecular Biology 226
  • Computational Theory and Mathematics 120
  • Sociology and Political Science 84
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Citations per field, relative to Robert B. Heckendorn
Robert B. Heckendorn · 1×
Citations per year, relative to Robert B. Heckendorn
Robert B. Heckendorn · 1×

Countries citing papers authored by Robert B. Heckendorn

Since Specialization
Citations

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

Fields of papers citing papers by Robert B. Heckendorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert B. Heckendorn. 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 Robert B. Heckendorn. The network helps show where Robert B. Heckendorn may publish in the future.

Co-authorship network of co-authors of Robert B. Heckendorn

This figure shows the co-authorship network connecting the top 25 collaborators of Robert B. Heckendorn. A scholar is included among the top collaborators of Robert B. Heckendorn 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 Robert B. Heckendorn. Robert B. Heckendorn 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
# Work Indexed citations
1 1
2 54
3
The Island Model Genetic Algorithm: On Separability, Population Size and Convergence
140
4
Learned anticipation strategy for speed control in an AUV fleet
0
5 194
6
COTSBots: computationally powerful, low-cost robots for Computer Science curriculums
5
7 2
8 1
9 0
10
Computational Modeling of the Traditional Deterrence Game
0
11 23
12 3
13
Abstention Reduces Errors - decision Abstaining N-version Genetic Programming
1
14 28
15
Function sets in genetic programming
2
16
Polynomial time summary statistics for two general classes of functions
0
17 9
18
Test function generators as embedded landscapes
27
19
A tractable Walsh analysis of SAT and its implications for genetic algorithms
28
20 12

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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