Ethan Fast
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Health Informatics top 10%
Papers in
-
- Sentiment Analysis and Opinion Mining 4
- Intelligent Tutoring Systems and Adaptive Learning 2
- Hate Speech and Cyberbullying Detection 2
- Software 4
- Software Testing and Debugging Techniques 3
- Co-authors
- Eric Horvitz (2 shared papers)Michael S. Bernstein (9 shared papers)Binbin Chen (5 shared papers)Westley R. Weimer (3 shared papers)Stephanie Forrest (3 shared papers)Julia Mendelsohn (1 shared paper)Mark M. Davis (2 shared papers)Niclas Olsson (2 shared papers)
- Journals
- Blood (1 paper)Genetic Programming and Evolvable Machines (1 paper)Nature Biotechnology (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ethan Fast
19 papers receiving 1.2k citations
Ethan Fast's Hit Papers
Peers
Comparison fields: 5 of 101
- Software 93
- Health Informatics 37
- Computer Science Applications 60
- Safety Research 136
- Artificial Intelligence 358
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 | 328 |
| 2 | 2016 | 261 | |
| 3 | 2019 | 246 | |
| 4 | 2018 | 96 | |
| 5 | 2013 | 73 | |
| 6 | 2020 | 54 | |
| 7 | 2010 | 52 | |
| 8 | 2014 | 30 | |
| 9 | 2016 | 23 | |
| 10 | 2013 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2016 | 7 | |
| 15 | 2018 | 4 | |
| 16 | 2017 | 3 | |
| 17 | Software Mutational Robustness: Bridging The Gap Between Mutation Testing and Evolutionary Biology | 2012 | 2 |
| 18 | 2015 | 2 | |
| 19 | 2021 | 2 |
About Ethan Fast
Ethan Fast is a scholar working on Artificial Intelligence, Software, Computer Science Applications, Information Systems and Safety Research, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Software Engineering Research (3 papers), Online Learning and Analytics (3 papers), Software Testing and Debugging Techniques (3 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Ethics and Social Impacts of AI (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Software (93 citations), Health Informatics (37 citations), Computer Science Applications (60 citations), Safety Research (136 citations) and Artificial Intelligence (358 citations). Ethan Fast has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Eric Horvitz, Michael S. Bernstein, Binbin Chen, Westley R. Weimer, Stephanie Forrest, Julia Mendelsohn, Mark M. Davis, Niclas Olsson, Russ Biagio Altman and Yagmur Muftuoglu. Their work appears in journals such as Blood, Genetic Programming and Evolvable Machines, Nature Biotechnology, Proceedings of the International AAAI Conference on Web and Social Media and International Joint Conference on Artificial Intelligence.
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.