Mitchell Gordon

963 citations
23 papers · 507 · h-index 12

Impact in

Papers in

Mitchell Gordon

22 papers receiving 496 citations

Peers

Mitchell Gordon
Comparison fields: 5 of 78
  • Computer Science Applications 142
  • Human-Computer Interaction 118
  • Health Informatics 9
  • Safety Research 52
  • Artificial Intelligence 195
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Citations per field
00.5×10×16×
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Citations per year

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-authors

The 25 scholars most cited alongside Mitchell Gordon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitchell Gordon Line = papers co-authored together Mitchell Gordon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202287
2 201678
3 202165
4 201464
5 202241
6 201938
7 201524
8 201715
9 201514
10 201514
11 201512
12 202411
13 201911
14
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
201910
15 20237
16 20236
17
Preserving Privacy in Crowd-Powered Systems
20153
18 20142
19 20142
20 20141

About Mitchell Gordon

Mitchell Gordon is a scholar working on Computer Science Applications, Artificial Intelligence, Computer Vision and Pattern Recognition, Communication and Sociology and Political Science, having authored 23 papers that have together received 507 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (11 papers), Anomaly Detection Techniques and Applications (4 papers), Adversarial Robustness in Machine Learning (3 papers), Data Visualization and Analytics (3 papers), Privacy-Preserving Technologies in Data (3 papers), Evacuation and Crowd Dynamics (2 papers), Interactive and Immersive Displays (2 papers) and Privacy, Security, and Data Protection (2 papers). The work is most often cited by research in Computer Science Applications (142 citations), Human-Computer Interaction (118 citations), Health Informatics (9 citations), Safety Research (52 citations) and Artificial Intelligence (195 citations). Mitchell Gordon has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michael S. Bernstein, Kayur Patel, Shumin Zhai, Jeffrey P. Bigham, Tom Ouyang, Tatsunori Hashimoto, Walter S. Lasecki, Michelle S. Lam, Jeffrey T. Hancock and Steven P. Dow. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Visualization and Computer Graphics, Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, Neural Information Processing Systems and CHI Conference on Human Factors in Computing Systems.

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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