Mark Díaz
- Artificial Intelligence top 5%
- Sociology and Political Science
- Safety Research top 5%
- Human-Computer Interaction top 5%
- Demography top 10%
- Co-authors
- Vinodkumar PrabhakaranAida Mostafazadeh DavaniAmanda LazarAnne Marie PiperDarren GergleIsaac JohnsonSheena EreteChristopher A. Le Dantec
- Topics
- Topic Modeling (5 papers)Hate Speech and Cyberbullying Detection (4 papers)Sentiment Analysis and Opinion Mining (3 papers)
- Journals
- Social Media + SocietyTransactions of the Association for Computational LinguisticsProceedings of the ACM on Human-Computer Interaction
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Mark Díaz
18 papers receiving 408 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 204
- Sociology and Political Science 92
- Safety Research 89
- Human-Computer Interaction 66
- Demography 49
Countries citing papers authored by Mark Díaz
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
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-authorship network of co-authors of Mark Díaz
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Díaz. A scholar is included among the top collaborators of Mark Díaz 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 Mark Díaz. Mark Díaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 29 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotationsbreakdown → | 105 |
| 10 | 3 | |
| 11 | 42 | |
| 12 | Three Directions for the Design of Human-Centered Machine Translation | 4 |
| 13 | 19 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 25 | |
| 17 | 41 | |
| 18 | 85 | |
| 19 | 8 | |
| 20 | 42 |
About Mark Díaz
Mark Díaz is a scholar working on Neuropsychology and Physiological Psychology, Communication and Human-Computer Interaction, having authored 20 papers that have together received 420 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Hate Speech and Cyberbullying Detection (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Health Informatics (19 citations), Human-Computer Interaction (66 citations) and Safety Research (89 citations). Mark Díaz has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Amanda Lazar, Anne Marie Piper, Darren Gergle, Isaac Johnson, Sheena Erete, Christopher A. Le Dantec, Robin Brewer and Razvan Amironesei. Their work appears in journals such as Social Media + Society, Transactions of the Association for Computational Linguistics and Proceedings of the ACM on Human-Computer Interaction.
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.