Marcelo Prates
Impact in
- Health Informatics top 10%
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
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- Artificial Intelligence in Games 1
-
- Opinion Dynamics and Social Influence 2
- Co-authors
- Luís C. Lamb (6 shared papers)Pedro Avelar (2 shared papers)Moshe Y. Vardi (1 shared paper)
- Journals
- Neural Computing and Applications (1 paper)Lecture notes in computer science (2 papers)Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)eCommons (Cornell University) (1 paper)
- Partner nations
- BrazilUnited StatesSpain
In The Last Decade
Marcelo Prates
6 papers receiving 317 citations
Marcelo Prates's Hit Papers
Peers
Comparison fields: 5 of 74
- Health Informatics 18
- Safety Research 57
- Artificial Intelligence 189
- Industrial and Manufacturing Engineering 27
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Marcelo Prates
This map shows the geographic impact of Marcelo Prates'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 Marcelo Prates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Prates more than expected).
Fields of papers citing papers by Marcelo Prates
This network shows the impact of papers produced by Marcelo Prates. 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 Marcelo Prates. The network helps show where Marcelo Prates may publish in the future.
Co-authors
The 3 scholars most cited alongside Marcelo Prates, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Assessing gender bias in machine translation: a case study with Google Translate Hit paper breakdown → | 2019 | 224 |
| 2 | 2019 | 103 | |
| 3 | 2019 | 8 | |
| 4 | 2018 | 7 | |
| 5 | 2015 | 3 | |
| 6 | 2013 | 1 | |
| 7 | 2020 | 0 | |
| 8 | The Changing Politics of Central Banking: A Legal Perspective | 2016 | 0 |
About Marcelo Prates
Marcelo Prates is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science, Computer Vision and Pattern Recognition and Clinical Psychology, having authored 8 papers that have together received 346 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Artificial Intelligence in Games (1 paper), Experimental Behavioral Economics Studies (1 paper), Psychology and Mental Health (1 paper), Translation Studies and Practices (1 paper), Scheduling and Timetabling Solutions (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Health Informatics (18 citations), Safety Research (57 citations), Artificial Intelligence (189 citations), Industrial and Manufacturing Engineering (27 citations) and Computer Vision and Pattern Recognition (44 citations). Marcelo Prates has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Luís C. Lamb, Pedro Avelar and Moshe Y. Vardi. Their work appears in journals such as Neural Computing and Applications, Lecture notes in computer science, Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, Proceedings of the AAAI Conference on Artificial Intelligence and eCommons (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.