Sevan G. Ficici

1.4k citations
30 papers · 1.1k · h-index 17

Impact in

Papers in

Sevan G. Ficici

29 papers receiving 960 citations

Peers

Sevan G. Ficici
Comparison fields: 5 of 92
  • Artificial Intelligence 706
  • Management Science and Operations Research 173
  • Safety Research 83
  • Genetics 211
  • Computational Theory and Mathematics 128
Replace Garrison W. Greenwood with:
Garrison W. Greenwood United States
Suohai Fan China
Lourdes Araujo Spain
Hao Guo China
Jan Paredis Netherlands
Alan Blair Australia
Dong Hao China
Diana F. Gordon United States
Miguel Angel Medina‐Pérez Mexico
Jialin Liu China
Sevan G. Ficici relative to Garrison W. Greenwood United States Garrison W. Greenwood's profile →
Citations per field
00.5×7.3×
Garrison W. Greenwood · 1×
Citations per year

Countries citing papers authored by Sevan G. Ficici

Since Specialization
Citations

This map shows the geographic impact of Sevan G. 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 G. 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 G. Ficici more than expected).

Fields of papers citing papers by Sevan G. Ficici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Sevan G. 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 G. Ficici Line = papers co-authored together Sevan G. Ficici links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002204
2
Challenges in coevolutionary learning: arms-race dynamics, open-endedness, and medicocre stable states
1998108
3
Solution concepts in coevolutionary algorithms
2004101
4 200197
5 200079
6 200365
7 200059
8 200554
9
Effects of finite populations on evolutionary stable strategies
200045
10 200838
11 200236
12 200522
13 199819
14
Secondary metabolic derangements in patients with tyrosyluria.
196719
15 200818
16 200718
17 200316
18 201512
19 200411
20 200711

About Sevan G. Ficici

Sevan G. Ficici is a scholar working on Artificial Intelligence, Sociology and Political Science, Genetics, Management Science and Operations Research and Mechanical Engineering, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (14 papers), Evolution and Genetic Dynamics (10 papers), Game Theory and Applications (9 papers), Evolutionary Algorithms and Applications (8 papers), Modular Robots and Swarm Intelligence (4 papers), Reinforcement Learning in Robotics (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Artificial Intelligence (706 citations), Management Science and Operations Research (173 citations), Safety Research (83 citations), Genetics (211 citations) and Computational Theory and Mathematics (128 citations). Sevan G. Ficici has collaborated with scholars based in United States. Frequent co-authors include Jordan Pollack, Richard A. Watson, Avi Pfeffer, Pablo Funes, Hod Lipson, A Sass-Kortsak, L Paunier, Sang Whay Kooh, David A. Fraser and Gregory S. Hornby. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Transactions on Evolutionary Computation, Journal of Theoretical Biology, 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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