Daniel Ashlock

4.0k citations
227 papers · 2.7k indexed · h-index 24

Impact in

Papers in

    • Evolutionary Algorithms and Applications 77
    • Metaheuristic Optimization Algorithms Research 48
    • Artificial Intelligence in Games 29
    • Genomics and Phylogenetic Studies 24

Daniel Ashlock

208 papers receiving 2.7k citations

Peers

Daniel Ashlock
Comparison fields: 5 of 147
  • Artificial Intelligence 894
  • Modeling and Simulation 105
  • Genetics 548
  • Computer Graphics and Computer-Aided Design 65
  • Safety Research 154
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Ashlock

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ashlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Ashlock. 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 Daniel Ashlock. The network helps show where Daniel Ashlock may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Ashlock, 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 Daniel Ashlock Line = papers co-authored together Daniel Ashlock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 227 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006268
2 2004226
3 200294
4 200667
5 200667
6 201159
7 200656
8 200552
9 200651
10 200851
11 200950
12 201848
13 200941
14 200436
15 200636
16 200535
17 200334
18 201034
19 200333
20 201930

About Daniel Ashlock

Daniel Ashlock is a scholar working on Artificial Intelligence, Molecular Biology, Sociology and Political Science, Genetics and Computational Theory and Mathematics, having authored 227 papers that have together received 2.7k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (77 papers), Evolutionary Game Theory and Cooperation (49 papers), Metaheuristic Optimization Algorithms Research (48 papers), Evolution and Genetic Dynamics (43 papers), Artificial Intelligence in Games (29 papers), Genomics and Phylogenetic Studies (24 papers), Advanced Multi-Objective Optimization Algorithms (24 papers) and Complex Network Analysis Techniques (16 papers). The work is most often cited by research in Artificial Intelligence (894 citations), Modeling and Simulation (105 citations), Genetics (548 citations), Computer Graphics and Computer-Aided Design (65 citations) and Safety Research (154 citations). Daniel Ashlock has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Wendy Ashlock, Kenneth M. Bryden, Sheridan Houghten, Patrick S. Schnable, Colin Lee, Justin Schonfeld, Tsui‐Jung Wen, Steven Corns, Roger P. Wise and Ling Guo. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Biosystems, Genetics, IEEE Transactions on Computational Intelligence and AI in Games and BMC Bioinformatics.

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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