Ethan Fast
Impact in
- Health Informatics top 5%
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 3
- Topic Modeling 3
- Sentiment Analysis and Opinion Mining 2
-
- Software Engineering Research 6
- Co-authors
- Eric Horvitz (2 shared papers)Michael S. Bernstein (8 shared papers)Binbin Chen (4 shared papers)Westley Weimer (3 shared papers)Stephanie Forrest (3 shared papers)Ronald Levy (2 shared papers)Chih Long Liu (2 shared papers)Lisa E. Wagar (2 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (1 paper)Nature Biotechnology (1 paper)Blood (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesUnited KingdomLiechtenstein
In The Last Decade
Ethan Fast
17 papers receiving 719 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 44
- Software 95
- Computer Science Applications 82
- Safety Research 91
- Artificial Intelligence 222
Countries citing papers authored by Ethan Fast
This map shows the geographic impact of Ethan Fast'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 Ethan Fast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Fast more than expected).
Fields of papers citing papers by Ethan Fast
This network shows the impact of papers produced by Ethan Fast. 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 Ethan Fast. The network helps show where Ethan Fast may publish in the future.
Co-authors
The 25 scholars most cited alongside Ethan Fast, 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 | Long-Term Trends in the Public Perception of Artificial Intelligence Hit paper breakdown → | 2017 | 253 |
| 2 | 2019 | 209 | |
| 3 | 2018 | 65 | |
| 4 | 2013 | 57 | |
| 5 | 2010 | 46 | |
| 6 | 2020 | 29 | |
| 7 | 2014 | 24 | |
| 8 | 2013 | 13 | |
| 9 | 2016 | 12 | |
| 10 | 2016 | 11 | |
| 11 | 2017 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2018 | 4 | |
| 15 | 2017 | 3 | |
| 16 | Software Mutational Robustness: Bridging The Gap Between Mutation Testing and Evolutionary Biology | 2012 | 2 |
| 17 | 2015 | 2 |
About Ethan Fast
Ethan Fast is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Software and Molecular Biology, having authored 17 papers that have together received 751 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Online Learning and Analytics (3 papers), Software Testing and Debugging Techniques (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Topic Modeling (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Software Reliability and Analysis Research (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Health Informatics (44 citations), Software (95 citations), Computer Science Applications (82 citations), Safety Research (91 citations) and Artificial Intelligence (222 citations). Ethan Fast has collaborated with scholars based in United States, United Kingdom and Liechtenstein. Frequent co-authors include Eric Horvitz, Michael S. Bernstein, Binbin Chen, Westley Weimer, Stephanie Forrest, Ronald Levy, Chih Long Liu, Lisa E. Wagar, Russ B. Altman and Yagmur Muftuoglu. Their work appears in journals such as Genetic Programming and Evolvable Machines, Nature Biotechnology, Blood, Proceedings of the International AAAI Conference on Web and Social Media and arXiv (Cornell University).
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.