Dan Ashlock

795 citations
41 papers · 554 · h-index 12

Impact in

Papers in

Dan Ashlock

40 papers receiving 519 citations

Peers

Dan Ashlock
Comparison fields: 5 of 44
  • Artificial Intelligence 239
  • Computer Graphics and Computer-Aided Design 22
  • Sociology and Political Science 218
  • Management Science and Operations Research 31
  • Safety Research 19
Replace Raffaele Argiento with:
Raffaele Argiento Italy
Dat Quoc Nguyen Australia
Yi R. Fung United States
Gabriele Farina United States
Ping Hu China
Prashant Shiralkar United States
Jingfei Du China
Chris J. Scogings New Zealand
Sumeet Kumar United States
Justin Song Canada
Dan Ashlock relative to Raffaele Argiento Italy Raffaele Argiento's profile →
Citations per field
00.5×5×10×15×22×
Raffaele Argiento · 1×
Citations per year

Countries citing papers authored by Dan Ashlock

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ashlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996111
2 199992
3 199534
4
Iterated Prisoner's Dilemma with Choice and Refusal of Partners
199332
5 200425
6 200524
7 200522
8 200320
9 200520
10 199819
11 200514
12 200313
13 199812
14 200212
15 200312
16 200011
17 200611
18 20038
19 20068
20 20036

About Dan Ashlock

Dan Ashlock is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 41 papers that have together received 554 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (22 papers), Evolutionary Game Theory and Cooperation (10 papers), Image Retrieval and Classification Techniques (6 papers), Fractal and DNA sequence analysis (3 papers), Complex Systems and Dynamics (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Artificial Intelligence in Games (2 papers). The work is most often cited by research in Artificial Intelligence (239 citations), Computer Graphics and Computer-Aided Design (22 citations), Sociology and Political Science (218 citations), Management Science and Operations Research (31 citations) and Safety Research (19 citations). Dan Ashlock has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include E. Ann Stanley, Leigh Tesfatsion, Mark D. Smucker, C.W. Richter, G.B. Sheblé, John E. Mayfield, N. Leahy, James I. Lathrop, Stephen J. Willson and Erin E. Blankenship. Their work appears in journals such as Complexity, IEEE Transactions on Power Systems, Physica D Nonlinear Phenomena, Biosystems and Computer applications in the biosciences.

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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