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
-
- Advanced Text Analysis Techniques 3
- Sentiment Analysis and Opinion Mining 3
- Hate Speech and Cyberbullying Detection 2
- Explainable Artificial Intelligence (XAI) 2
-
- Ethics and Social Impacts of AI 3
- Co-authors
- José M. Such (8 shared papers)Tom van Nuenen (4 shared papers)Natalia Criado (4 shared papers)Mark Coté (2 shared papers)Guillermo Suárez‐Tangil (3 shared papers)Nirmalie Wiratunga (2 shared papers)Enric Plaza (3 shared papers)Andreas Pashalidis (1 shared paper)
- Journals
- The Journal of Primary Prevention (1 paper)IEEE Technology and Society Magazine (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)Computer (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- United KingdomSpainFrance
In The Last Decade
Xavier Ferrer
14 papers receiving 279 citations
Xavier Ferrer's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 38
- Safety Research 114
- Artificial Intelligence 128
- Information Systems 49
- Computer Science Applications 10
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 20 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 | Bias and Discrimination in AI: A Cross-Disciplinary Perspective Hit paper breakdown → | 2021 | 196 |
| 2 | 2020 | 28 | |
| 3 | 2021 | 26 | |
| 4 | 2022 | 19 | |
| 5 | 2021 | 6 | |
| 6 | 2014 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2012 | 4 | |
| 9 | 2015 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2001 | 1 |
About Xavier Ferrer
Xavier Ferrer is a scholar working on Artificial Intelligence, Safety Research, Information Systems, Signal Processing and Communication, having authored 14 papers that have together received 300 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (3 papers), Advanced Text Analysis Techniques (3 papers), Advanced Malware Detection Techniques (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Privacy, Security, and Data Protection (3 papers), Hate Speech and Cyberbullying Detection (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Health Informatics (38 citations), Safety Research (114 citations), Artificial Intelligence (128 citations), Information Systems (49 citations) and Computer Science Applications (10 citations). Xavier Ferrer has collaborated with scholars based in United Kingdom, Spain and France. Frequent co-authors include José M. Such, Tom van Nuenen, Natalia Criado, Mark Coté, Guillermo Suárez‐Tangil, Nirmalie Wiratunga, Enric Plaza, Andreas Pashalidis, Rosalie H. Wang and Robert J. Vallerand. Their work appears in journals such as The Journal of Primary Prevention, IEEE Technology and Society Magazine, IEEE Transactions on Dependable and Secure Computing, Computer and IEEE Transactions on Knowledge and Data Engineering.
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.