Xavier Ferrer
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in
-
- Hate Speech and Cyberbullying Detection 3
- Advanced Text Analysis Techniques 2
- Sentiment Analysis and Opinion Mining 2
- Law, AI, and Intellectual Property 2
- Authorship Attribution and Profiling 2
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- Privacy, Security, and Data Protection 2
- Co-authors
- José M. Such (8 shared papers)Tom van Nuenen (5 shared papers)Natalia Criado (5 shared papers)Mark Coté (2 shared papers)Guillermo Suárez‐Tangil (2 shared papers)Andreas Pashalidis (1 shared paper)Enric Plaza (1 shared paper)
- Journals
- IEEE Technology and Society Magazine (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Computer (1 paper)International Journal of Interactive Multimedia and Artificial Intelligence (1 paper)AI Communications (1 paper)
- Partner nations
- United KingdomSpainSwitzerland
In The Last Decade
Xavier Ferrer
11 papers receiving 204 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 34
- Safety Research 86
- Artificial Intelligence 95
- Computer Science Applications 9
- Information Systems 34
Countries citing papers authored by Xavier Ferrer
This map shows the geographic impact of Xavier Ferrer'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 Xavier Ferrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Ferrer more than expected).
Fields of papers citing papers by Xavier Ferrer
This network shows the impact of papers produced by Xavier Ferrer. 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 Xavier Ferrer. The network helps show where Xavier Ferrer may publish in the future.
Co-authors
The 7 scholars most cited alongside Xavier Ferrer, 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 | 2021 | 148 | |
| 2 | 2020 | 22 | |
| 3 | 2021 | 22 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 6 | |
| 6 | 2012 | 4 | |
| 7 | 2020 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2017 | 1 | |
| 11 | Concept discovery and argument bundles in the web of experiences | 2017 | 1 |
About Xavier Ferrer
Xavier Ferrer is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Signal Processing and Safety Research, having authored 11 papers that have together received 219 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (3 papers), Ethics and Social Impacts of AI (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Advanced Text Analysis Techniques (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Law, AI, and Intellectual Property (2 papers), Authorship Attribution and Profiling (2 papers) and Privacy, Security, and Data Protection (2 papers). The work is most often cited by research in Health Informatics (34 citations), Safety Research (86 citations), Artificial Intelligence (95 citations), Computer Science Applications (9 citations) and Information Systems (34 citations). Xavier Ferrer has collaborated with scholars based in United Kingdom, Spain and Switzerland. Frequent co-authors include José M. Such, Tom van Nuenen, Natalia Criado, Mark Coté, Guillermo Suárez‐Tangil, Andreas Pashalidis and Enric Plaza. Their work appears in journals such as IEEE Technology and Society Magazine, IEEE Transactions on Knowledge and Data Engineering, Computer, International Journal of Interactive Multimedia and Artificial Intelligence and AI Communications.
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.