Mark Díaz

4.1k citations
26 papers · 513 · 1 hit paper · h-index 9

Impact in

Papers in

Mark Díaz

19 papers receiving 495 citations

Mark Díaz's Hit Papers

Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations 2022 · 125 citations
1250+1+2Years since publication4080120

Peers

Mark Díaz
Comparison fields: 5 of 81
  • Health Informatics 20
  • Human-Computer Interaction 73
  • Neuropsychology and Physiological Psychology 16
  • Safety Research 96
  • Computer Science Applications 42
Replace Isaac Johnson with:
Isaac Johnson United States
Xinru Page United States
Janghee Cho United States
Peter Mantello Japan
Rhianne Jones United Kingdom
Danaë Metaxa United States
Jasper Feine Germany
Britt Paris United States
Stephan Diederich Germany
Hanlin Li United States
Mark Díaz relative to Isaac Johnson United States Isaac Johnson's profile →
Citations per field
00.5×2×2.7×
Isaac Johnson · 1×
Citations per year

Countries citing papers authored by Mark Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Mark Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Díaz, 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 Mark Díaz Line = papers co-authored together Mark Díaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
Hit paper breakdown →
2022125
2 2018101
3 201953
4 201752
5 202249
6 202435
7 201928
8 202023
9 20188
10 20245
11 20225
12 20195
13
Three Directions for the Design of Human-Centered Machine Translation
20215
14 20245
15 20224
16 20243
17 20193
18 20242
19 20242
20 20190

About Mark Díaz

Mark Díaz is a scholar working on Artificial Intelligence, Information Systems, Safety Research, Communication and Sociology and Political Science, having authored 26 papers that have together received 513 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Hate Speech and Cyberbullying Detection (4 papers), Ethics and Social Impacts of AI (4 papers), Natural Language Processing Techniques (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Mental Health via Writing (2 papers), Misinformation and Its Impacts (2 papers) and Gender, Feminism, and Media (2 papers). The work is most often cited by research in Health Informatics (20 citations), Human-Computer Interaction (73 citations), Neuropsychology and Physiological Psychology (16 citations), Safety Research (96 citations) and Computer Science Applications (42 citations). Mark Díaz has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Amanda Lazar, Anne Marie Piper, Isaac Johnson, Darren Gergle, Sheena Erete, Christopher A. Le Dantec, Robin Brewer and Razvan Amironesei. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Transactions of the Association for Computational Linguistics, Social Media + Society, Proceedings of the AAAI Conference on Human Computation and Crowdsourcing and Proceedings of the AAAI/ACM Conference on AI Ethics and Society.

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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