Mark Díaz

4.1k citations
23 papers · 480 · 1 hit paper · h-index 9

Impact in

Papers in

Mark Díaz

19 papers receiving 466 citations

Mark Díaz's Hit Papers

Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations 2022 · 119 citations
1190+1+2Years since publication255075100

Peers

Mark Díaz
Comparison fields: 5 of 80
  • Health Informatics 19
  • Human-Computer Interaction 72
  • Safety Research 93
  • Neuropsychology and Physiological Psychology 14
  • Computer Science Applications 41
Replace Isaac Johnson with:
Isaac Johnson United States
Xinru Page United States
Mireia Ribera Spain
Catherine Flick United Kingdom
Danaë Metaxa United States
Janghee Cho United States
Alexander P. Henkel Netherlands
Rhianne Jones United Kingdom
Peter Mantello Japan
Arianna Boldi Italy
Mark Díaz relative to Isaac Johnson United States Isaac Johnson's profile →
Citations per field
00.5×2.7×
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 23 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 →
2022119
2 201891
3 201950
4 201749
5 202247
6 202435
7 201926
8 202020
9 20188
10 20245
11 20195
12 20245
13 20224
14 20224
15
Three Directions for the Design of Human-Centered Machine Translation
20214
16 20243
17 20242
18 20192
19 20241
20 20260

About Mark Díaz

Mark Díaz is a scholar working on Artificial Intelligence, Communication, Sociology and Political Science, Information Systems and Safety Research, having authored 23 papers that have together received 480 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Hate Speech and Cyberbullying Detection (4 papers), Natural Language Processing Techniques (3 papers), Ethics and Social Impacts of AI (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 (19 citations), Human-Computer Interaction (72 citations), Safety Research (93 citations), Neuropsychology and Physiological Psychology (14 citations) and Computer Science Applications (41 citations). Mark Díaz has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Anne Marie Piper, Amanda Lazar, 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, Social Media + Society, Transactions of the Association for Computational Linguistics, Proceedings of the AAAI/ACM Conference on AI Ethics and Society and arXiv (Cornell University).

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.

Explore authors with similar magnitude of impact