Sevan Gregory Ficici

1.3k citations
22 papers · 890 · h-index 13

Impact in

Papers in

Sevan Gregory Ficici

22 papers receiving 803 citations

Peers

Sevan Gregory Ficici
Comparison fields: 5 of 55
  • Artificial Intelligence 653
  • Computational Theory and Mathematics 58
  • Mechanical Engineering 125
  • Sociology and Political Science 102
  • Management Science and Operations Research 30
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Evgenii E. Vityaev Russia
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Citations per field
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Citations per year

Countries citing papers authored by Sevan Gregory Ficici

Since Specialization
Citations

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

Fields of papers citing papers by Sevan Gregory Ficici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sevan Gregory Ficici. 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 Sevan Gregory Ficici. The network helps show where Sevan Gregory Ficici may publish in the future.

Co-authors

The 14 scholars most cited alongside Sevan Gregory Ficici, 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 Sevan Gregory Ficici Line = papers co-authored together Sevan Gregory Ficici links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002213
2
Challenges in coevolutionary learning: arms-race dynamics, open-endedness, and medicocre stable states
1998105
3 200196
4 200079
5 200366
6 200058
7 200552
8
Effects of finite populations on evolutionary stable strategies
200043
9 200234
10 200523
11 199818
12 200718
13 200315
14 201512
15 200411
16 200710
17 19998
18
Geme theory and the simple coevolutionary algorithm : Some preliminary results on fitness sharing
20018
19 20028
20 20077

About Sevan Gregory Ficici

Sevan Gregory Ficici is a scholar working on Artificial Intelligence, Sociology and Political Science, Genetics, Statistical and Nonlinear Physics and Cancer Research, having authored 22 papers that have together received 890 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (18 papers), Evolutionary Game Theory and Cooperation (7 papers), Evolution and Genetic Dynamics (2 papers), Advanced Multi-Objective Optimization Algorithms (1 paper), Pluripotent Stem Cells Research (1 paper), MicroRNA in disease regulation (1 paper), Complex Systems and Dynamics (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Artificial Intelligence (653 citations), Computational Theory and Mathematics (58 citations), Mechanical Engineering (125 citations), Sociology and Political Science (102 citations) and Management Science and Operations Research (30 citations). Sevan Gregory Ficici has collaborated with scholars based in United States. Frequent co-authors include Jordan B. Pollack, Richard A. R. Watson, Pablo Funes, Hod Lipson, Gregory S. Hornby, Andrew C. Hinton, Gary B. Fogel, Charles C. King, Ana D. Lopez and Zoya S. Kai. Their work appears in journals such as Journal of Theoretical Biology, Robotics and Autonomous Systems, IEEE Transactions on Evolutionary Computation, Gene and Lecture notes in computer science.

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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