Fernando Díaz
Impact in
- Communication top 0.5%
- Public Relations and Crisis Communication
- Information Systems top 0.2%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
Papers in
-
- Information Retrieval and Search Behavior 40
- Recommender Systems and Techniques 23
- Web Data Mining and Analysis 22
-
- Topic Modeling 34
- Advanced Text Analysis Techniques 10
- Co-authors
- Carlos Castillo (9 shared papers)Muhammad Imran (4 shared papers)Sarah Vieweg (2 shared papers)Bhaskar Mitra (9 shared papers)Nick Craswell (4 shared papers)Rosie Jones (5 shared papers)Emre Kıcıman (3 shared papers)Alexandra Olteanu (4 shared papers)
- Journals
- Computer Aided Surgery (6 papers)ACM SIGIR Forum (6 papers)Journal of neurosurgery (4 papers)ACM Transactions on Information Systems (4 papers)Neurosurgery (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Fernando Díaz
144 papers receiving 6.1k citations
Fernando Díaz's Hit Papers
Peers
Comparison fields: 5 of 164
- Communication 1.0k
- Information Systems 2.2k
- Artificial Intelligence 2.6k
- Computer Science Applications 273
- Health Informatics 58
Countries citing papers authored by Fernando Díaz
This map shows the geographic impact of Fernando 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 Fernando Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Díaz more than expected).
Fields of papers citing papers by Fernando Díaz
This network shows the impact of papers produced by Fernando 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 Fernando Díaz. The network helps show where Fernando Díaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Díaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Processing Social Media Messages in Mass Emergency Hit paper breakdown → | 2015 | 548 |
| 2 | Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries Hit paper breakdown → | 2019 | 469 |
| 3 | Extracting Information Nuggets from Disaster- Related Messages in Social Media Hit paper breakdown → | 2013 | 297 |
| 4 | 1987 | 291 | |
| 5 | Learning to Match using Local and Distributed Representations of Text for Web Search Hit paper breakdown → | 2017 | 256 |
| 6 | 2013 | 195 | |
| 7 | 2018 | 170 | |
| 8 | 2006 | 158 | |
| 9 | 2010 | 157 | |
| 10 | 2007 | 156 | |
| 11 | 2002 | 155 | |
| 12 | 2009 | 142 | |
| 13 | 2016 | 141 | |
| 14 | 2002 | 134 | |
| 15 | 1984 | 132 | |
| 16 | 2014 | 118 | |
| 17 | 2018 | 118 | |
| 18 | 2010 | 117 | |
| 19 | 1986 | 115 | |
| 20 | 1984 | 110 |
About Fernando Díaz
Fernando Díaz is a scholar working on Information Systems, Artificial Intelligence, Neurology, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 148 papers that have together received 6.5k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (40 papers), Topic Modeling (34 papers), Recommender Systems and Techniques (23 papers), Web Data Mining and Analysis (22 papers), Mobile Crowdsensing and Crowdsourcing (15 papers), Complex Network Analysis Techniques (11 papers), Advanced Text Analysis Techniques (10 papers) and Ethics and Social Impacts of AI (10 papers). The work is most often cited by research in Communication (1.0k citations), Information Systems (2.2k citations), Artificial Intelligence (2.6k citations), Computer Science Applications (273 citations) and Health Informatics (58 citations). Fernando Díaz has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Carlos Castillo, Muhammad Imran, Sarah Vieweg, Bhaskar Mitra, Nick Craswell, Rosie Jones, Emre Kıcıman, Alexandra Olteanu, Jaime Arguello and Patrick Meier. Their work appears in journals such as Computer Aided Surgery, ACM SIGIR Forum, Journal of neurosurgery, ACM Transactions on Information Systems and Neurosurgery.
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.