Daniel Ashlock

4k citations
248 papers · 3.1k · h-index 25

Impact in

    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research
    • Artificial Intelligence in Games
    • Chromosomal and Genetic Variations

Papers in

Daniel Ashlock

234 papers receiving 3.1k citations

Peers

Daniel Ashlock
Comparison fields: 5 of 122
  • Artificial Intelligence 1.4k
  • Plant Science 597
  • Statistical and Nonlinear Physics 156
  • Computer Graphics and Computer-Aided Design 47
  • Genetics 233
Replace Mario Giacobini with:
Mario Giacobini Italy
Dianne Cook United States
Guy-Bart V. Stan United Kingdom
Christopher H. Griffin United States
Ulisses Braga-Neto United States
Vito Trianni Italy
Marcus R. Frean New Zealand
Jerzy Tiuryn Poland
Falk Schreiber Germany
Malik Yousef Israel
Daniel Ashlock relative to Mario Giacobini Italy Mario Giacobini's profile →
Citations per field
00.5×5×10×15.7×
Mario Giacobini · 1×
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 248 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006304
2 2004257
3 2002100
4 201182
5 200675
6 200670
7 200664
8 200556
9 200856
10 201855
11 200654
12 200951
13 201043
14 200942
15 200441
16 200540
17 200638
18 200333
19 200333
20 201933

About Daniel Ashlock

Daniel Ashlock is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Sociology and Political Science, having authored 248 papers that have together received 3.1k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (91 papers), Metaheuristic Optimization Algorithms Research (51 papers), Evolutionary Game Theory and Cooperation (33 papers), Artificial Intelligence in Games (26 papers), Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Complex Network Analysis Techniques (14 papers), Genomics and Phylogenetic Studies (13 papers) and Evolution and Genetic Dynamics (12 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Plant Science (597 citations), Statistical and Nonlinear Physics (156 citations), Computer Graphics and Computer-Aided Design (47 citations) and Genetics (233 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 K. Houghten, Patrick S. Schnable, Colin Lee, Justin Schonfeld, Tsui‐Jung Wen, Roger P. Wise, Steven Michael Corns and Yan Fu. Their work appears in journals such as Biosystems, IEEE Transactions on Evolutionary Computation, 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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