Jeff Flatten
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Open Source Software Innovations
Papers in
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- Educational Games and Gamification 2
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- Advanced Electron Microscopy Techniques and Applications 1
- Co-authors
- Seth Cooper (3 shared papers)Firas Khatib (2 shared papers)David Baker (2 shared papers)Andrew Leaver‐Fay (1 shared paper)Justin B. Siegel (1 shared paper)Scott Horowitz (2 shared papers)Brian Koepnick (2 shared papers)Zoran Popović (2 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (1 paper)Nature Communications (1 paper)Bioinformatics (1 paper)Nature (1 paper)PLoS Biology (1 paper)
- Partner nations
- United StatesPolandBrazil
In The Last Decade
Jeff Flatten
8 papers receiving 315 citations
Peers
Comparison fields: 5 of 66
- Computer Science Applications 32
- Structural Biology 7
- Molecular Biology 155
- Developmental and Educational Psychology 35
- Information Systems and Management 9
Countries citing papers authored by Jeff Flatten
This map shows the geographic impact of Jeff Flatten'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 Jeff Flatten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Flatten more than expected).
Fields of papers citing papers by Jeff Flatten
This network shows the impact of papers produced by Jeff Flatten. 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 Jeff Flatten. The network helps show where Jeff Flatten may publish in the future.
Co-authors
The 10 scholars most cited alongside Jeff Flatten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 105 | |
| 2 | 2017 | 75 | |
| 3 | 2014 | 47 | |
| 4 | 2016 | 43 | |
| 5 | 2019 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2019 | 10 | |
| 8 | Analysis of Problem-Solving Behavior in Open-Ended Scientific-Discovery Game Challenges. | 2017 | 5 |
About Jeff Flatten
Jeff Flatten is a scholar working on Developmental and Educational Psychology, Structural Biology, Molecular Biology, Computer Science Applications and Artificial Intelligence, having authored 8 papers that have together received 324 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Educational Games and Gamification (2 papers), Enzyme Structure and Function (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Computer Science Applications (32 citations), Structural Biology (7 citations), Molecular Biology (155 citations), Developmental and Educational Psychology (35 citations) and Information Systems and Management (9 citations). Jeff Flatten has collaborated with scholars based in United States, Poland and Brazil. Frequent co-authors include Seth Cooper, Firas Khatib, David Baker, Andrew Leaver‐Fay, Justin B. Siegel, Scott Horowitz, Brian Koepnick, Zoran Popović, Ambroise Desfosses and Irina Gutsche. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nature Communications, Bioinformatics, Nature and PLoS Biology.
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.