Foldit Players

2.7k citations
4 papers · 1.7k · 2 hit papers · h-index 4

Impact in

Papers in

Foldit Players

4 papers receiving 1.6k citations

Foldit Players's Hit Papers

Algorithm discovery by protein folding game players 2011 · 411 citations
4110+5+10Years since publication250500750

Peers

Foldit Players
Comparison fields: 5 of 154
  • Computer Science Applications 566
  • Ecological Modeling 144
  • Human-Computer Interaction 105
  • Information Systems and Management 125
  • Developmental and Educational Psychology 189
Replace Jeehyung Lee with:
Jeehyung Lee United States
J. Barbero United States
Firas Khatib United States
Seth Cooper United States
Kurt Luther United States
Christopher Collins Canada
Jane Greenberg United States
Markus Luczak–Roesch New Zealand
Szymon Krzywda Poland
Mirosław Gilski Poland
Foldit Players relative to Jeehyung Lee United States Jeehyung Lee's profile →
Citations per field
00.5×1.5×
Jeehyung Lee · 1×
Citations per year

Countries citing papers authored by Foldit Players

Since Specialization
Citations

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

Fields of papers citing papers by Foldit Players

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Foldit Players, 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 Foldit Players Line = papers co-authored together Foldit Players links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Foldit Players

Foldit Players is a scholar working on Sociology and Political Science, Artificial Intelligence, Organic Chemistry, Communication and Molecular Biology, having authored 4 papers that have together received 1.7k indexed citations. Recurring topics across this work include Digital Games and Media (3 papers), Artificial Intelligence in Games (2 papers), Click Chemistry and Applications (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper), Wikis in Education and Collaboration (1 paper), Data Visualization and Analytics (1 paper), Educational Games and Gamification (1 paper) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Computer Science Applications (566 citations), Ecological Modeling (144 citations), Human-Computer Interaction (105 citations), Information Systems and Management (125 citations) and Developmental and Educational Psychology (189 citations). Foldit Players has collaborated with scholars based in United States. Frequent co-authors include Zoran Popović, David Baker, Firas Khatib, Seth Cooper, J. Barbero, Andrew Leaver‐Fay, Adrien Treuille, Jeehyung Lee, Michael D. Tyka and Betty Shen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Nature.

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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