Ethan Fast

1.7k total citations · 1 hit paper
17 papers, 751 citations indexed

About

Ethan Fast is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Ethan Fast has authored 17 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Science Applications. Recurrent topics in Ethan Fast's work include Software Engineering Research (6 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Online Learning and Analytics (3 papers). Ethan Fast is often cited by papers focused on Software Engineering Research (6 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Online Learning and Analytics (3 papers). Ethan Fast collaborates with scholars based in United States, United Kingdom and India. Ethan Fast's co-authors include Eric Horvitz, Michael S. Bernstein, Binbin Chen, Westley Weimer, Stephanie Forrest, Brian J. Sworder, Ash A. Alizadeh, Lisa E. Wagar, Joshua E. Elias and Mark M. Davis and has published in prestigious journals such as Blood, Nature Biotechnology and Genetic Programming and Evolvable Machines.

In The Last Decade

Ethan Fast

17 papers receiving 719 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Long-Term Trends in the Public Perception of Artificial Intelligence

2017 253 citations Ethan Fast, Eric Horvitz Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ethan Fast United States	10	222	168	139	119	114	17	751
David Squires United Kingdom	14	38 0.2×	89 0.5×	208 1.5×	183 1.5×	90 0.8×	37	987
John Zeleznikow Australia	21	655 3.0×	128 0.8×	71 0.5×	177 1.5×	199 1.7×	169	1.5k
Alireza Ahadi Australia	21	202 0.9×	283 1.7×	17 0.1×	273 2.3×	10 0.1×	34	1.2k
Jeehyung Lee United States	7	162 0.7×	385 2.3×	12 0.1×	57 0.5×	118 1.0×	8	1.2k
David G. Robinson United States	15	105 0.5×	223 1.3×	6 0.0×	48 0.4×	123 1.1×	43	826
Susan Haller United States	15	128 0.6×	40 0.2×	17 0.1×	118 1.0×	79 0.7×	55	737
Kevin C. Haudek United States	16	223 1.0×	188 1.1×	214 1.5×	76 0.6×	9 0.1×	49	974
J. Barbero Spain	8	172 0.8×	192 1.1×	4 0.0×	74 0.6×	132 1.2×	12	1.1k
Katja Maaß Germany	16	27 0.1×	50 0.3×	17 0.1×	108 0.9×	71 0.6×	28	1.3k
Jie Hu China	22	181 0.8×	603 3.6×	31 0.2×	213 1.8×	204 1.8×	89	1.8k

Countries citing papers authored by Ethan Fast

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ethan Fast

This figure shows the co-authorship network connecting the top 25 collaborators of Ethan Fast. A scholar is included among the top collaborators of Ethan Fast based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ethan Fast. Ethan Fast is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

Fast, Ethan, et al.. (2021). Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community. Proceedings of the International AAAI Conference on Web and Social Media. 10(1). 112–120. 6 indexed citations

2.

Balaji, Bharathan, et al.. (2020). Reinforcement Learning for the Adaptive Scheduling of Educational Activities. 1–12. 29 indexed citations

3.

Chen, Binbin, Michael S. Khodadoust, Niclas Olsson, et al.. (2019). Predicting HLA class II antigen presentation through integrated deep learning. Nature Biotechnology. 37(11). 1332–1343. 209 indexed citations

4.

Fast, Ethan, et al.. (2018). Iris. 1–12. 65 indexed citations

5.

Howley, Iris, et al.. (2018). OARS. 1–10. 4 indexed citations

6.

Chen, Binbin, Michael S. Khodadoust, Niclas Olsson, et al.. (2017). Maria: Accurate Prediction of MHC-II Peptide Presentation with Deep-Learning and Lymphoma Patient MHC-II Ligandome. Blood. 130. 1486–1486. 3 indexed citations

7.

Fast, Ethan & Eric Horvitz. (2017). Long-Term Trends in the Public Perception of Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 253 indexed citations breakdown →

8.

Fast, Ethan, Binbin Chen, & Michael S. Bernstein. (2017). Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis. 4836–4840. 8 indexed citations

9.

Fast, Ethan, et al.. (2016). Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community. arXiv (Cornell University). 112–120. 12 indexed citations

10.

Fast, Ethan & Eric Horvitz. (2016). Long-Term Trends in the Public Perception of Artificial Intelligence. arXiv (Cornell University). 31(1). 963–969. 11 indexed citations

11.

Fast, Ethan & Michael S. Bernstein. (2016). Meta. 259–270. 7 indexed citations

12.

Fast, Ethan, Pranav Rajpurkar, & Michael S. Bernstein. (2015). Text Mining Emergent Human Behaviors for Interactive Systems. 2265–2270. 2 indexed citations

13.

Fast, Ethan, et al.. (2014). Emergent, crowd-scale programming practice in the IDE. 2491–2500. 24 indexed citations

14.

Schulte, Eric, Zachary P. Fry, Ethan Fast, Westley Weimer, & Stephanie Forrest. (2013). Software mutational robustness. Genetic Programming and Evolvable Machines. 15(3). 281–312. 57 indexed citations

15.

Fast, Ethan, et al.. (2013). Crowd-scale interactive formal reasoning and analytics. 363–372. 13 indexed citations

16.

Schulte, Eric, Zachary P. Fry, Ethan Fast, Stephanie Forrest, & Westley Weimer. (2012). Software Mutational Robustness: Bridging The Gap Between Mutation Testing and Evolutionary Biology. 2 indexed citations

17.

Fast, Ethan, Claire Le Goues, Stephanie Forrest, & Westley Weimer. (2010). Designing better fitness functions for automated program repair. 965–972. 46 indexed citations

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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