Mitchell Gordon

924 total citations
23 papers, 467 citations indexed

About

Mitchell Gordon is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mitchell Gordon has authored 23 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Science Applications, 11 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mitchell Gordon's work include Mobile Crowdsensing and Crowdsourcing (11 papers), Anomaly Detection Techniques and Applications (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Mitchell Gordon is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (11 papers), Anomaly Detection Techniques and Applications (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Mitchell Gordon collaborates with scholars based in United States, United Kingdom and China. Mitchell Gordon's co-authors include Michael S. Bernstein, Shumin Zhai, Kayur Patel, Tom Ouyang, Jeffrey P. Bigham, Tatsunori Hashimoto, Walter S. Lasecki, Michelle S. Lam, Jeffrey T. Hancock and Steven P. Dow and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Human-Computer Interaction and CHI Conference on Human Factors in Computing Systems.

In The Last Decade

Mitchell Gordon

22 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchell Gordon United States	11	185	140	114	88	85	23	467
John Joon Young Chung United States	11	139 0.8×	61 0.4×	113 1.0×	93 1.1×	47 0.6×	25	404
Valdemar Danry United States	8	106 0.6×	49 0.3×	70 0.6×	45 0.5×	29 0.3×	19	364
Andy Coenen United States	4	274 1.5×	25 0.2×	64 0.6×	78 0.9×	41 0.5×	6	461
Vanessa Echeverría Australia	17	186 1.0×	394 2.8×	52 0.5×	106 1.2×	13 0.2×	60	791
Danula Hettiachchi Australia	10	109 0.6×	87 0.6×	36 0.3×	20 0.2×	29 0.3×	28	273
Bob Kummerfeld Australia	13	106 0.6×	206 1.5×	116 1.0×	120 1.4×	14 0.2×	48	565
Alex Barrett United States	9	199 1.1×	177 1.3×	129 1.1×	52 0.6×	12 0.1×	26	626
Carla Faria Leitão Brazil	11	73 0.4×	82 0.6×	212 1.9×	48 0.5×	20 0.2×	31	487
Stephan Schlögl Austria	10	280 1.5×	35 0.3×	91 0.8×	43 0.5×	26 0.3×	38	470
Yann Riche United States	10	78 0.4×	46 0.3×	145 1.3×	102 1.2×	22 0.3×	14	368

Countries citing papers authored by Mitchell Gordon

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell Gordon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell Gordon

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell Gordon. A scholar is included among the top collaborators of Mitchell Gordon 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 Mitchell Gordon. Mitchell Gordon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gordon, Mitchell, et al.. (2024). DracoGPT: Extracting Visualization Design Preferences from Large Language Models. IEEE Transactions on Visualization and Computer Graphics. 31(1). 710–720. 9 indexed citations

Lu, Ximing, et al.. (2024). StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements. 4172–4206.

Gordon, Mitchell, et al.. (2023). Cura: Curation at Social Media Scale. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW2). 1–33. 5 indexed citations

Lam, Michelle S., Mitchell Gordon, Danaë Metaxa, et al.. (2022). End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–34. 25 indexed citations

Gordon, Mitchell, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, & Michael S. Bernstein. (2021). The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. 1–14. 61 indexed citations

Zhou, Sharon, et al.. (2019). HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. Neural Information Processing Systems. 32. 3444–3456. 10 indexed citations

Gordon, Mitchell, Leon A. Gatys, Carlos Guestrin, et al.. (2019). App Usage Predicts Cognitive Ability in Older Adults. 1–12. 34 indexed citations

Gordon, Mitchell & Shumin Zhai. (2019). Touchscreen Haptic Augmentation Effects on Tapping, Drag and Drop, and Path Following. 1–12. 9 indexed citations

Gordon, Mitchell, et al.. (2017). Automatically Visualizing Audio Travel Podcasts. 165–167. 1 indexed citations

10.

Kaur, Harmanpreet, Mitchell Gordon, Jeffrey P. Bigham, et al.. (2017). CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 5. 89–98. 15 indexed citations

11.

Gordon, Mitchell, Tom Ouyang, & Shumin Zhai. (2016). WatchWriter. 3817–3821. 75 indexed citations

12.

Yim, Jinyeong, Danai Koutra, Steven P. Dow, et al.. (2016). Coding Varied Behavior Types Using the Crowd. 114–117. 1 indexed citations

13.

Lasecki, Walter S., et al.. (2015). Preserving Privacy in Crowd-Powered Systems. 3 indexed citations

14.

Warner, Jeremy, et al.. (2015). Toward a domain-specific visual discussion forum for learning computer programming: An empirical study of a popular MOOC forum. 101–109. 14 indexed citations

15.

Gordon, Mitchell & Philip J. Guo. (2015). Codepourri: Creating visual coding tutorials using a volunteer crowd of learners. 24 indexed citations

16.

Lasecki, Walter S., et al.. (2015). Exploring Privacy and Accuracy Trade-Offs in Crowdsourced Behavioral Video Coding. 1945–1954. 14 indexed citations

17.

Gordon, Mitchell. (2014). Web accessibility evaluation with the crowd. 339–340. 2 indexed citations

18.

Lasecki, Walter S., Mitchell Gordon, Steven P. Dow, & Jeffrey P. Bigham. (2014). Glance. 2001. 511–514. 2 indexed citations

19.

Gordon, Mitchell, et al.. (2014). Glance Privacy: Obfuscating Personal Identity While Coding Behavioral Video. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 2. 18–19. 1 indexed citations

20.

Lasecki, Walter S., Mitchell Gordon, Danai Koutra, et al.. (2014). Glance. 551–562. 64 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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