Fernando Díaz
- Communication top 0.5%
- Information Systems top 0.2%
- Information Retrieval and Search Behavior 36
- Recommender Systems and Techniques 20
- Web Data Mining and Analysis 20
- Artificial Intelligence top 0.5%
- Topic Modeling 29
- Natural Language Processing Techniques 9
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- Mobile Crowdsensing and Crowdsourcing 14
- Neurology top 2%
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- Complex Network Analysis Techniques 11
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- Ethics and Social Impacts of AI 9
- Co-authors
- Carlos CastilloMuhammad ImranSarah ViewegBhaskar MitraNick CraswellEmre KıcımanRosie JonesAlexandra Olteanu
- Journals
- Computer Aided Surgery (6 papers)ACM SIGIR Forum (6 papers)ACM Transactions on Information Systems (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Fernando Díaz
132 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Communication 878
- Information Systems 1.8k
- Artificial Intelligence 2.2k
- Computer Science Applications 231
- Neurology 589
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 59 | |
| 4 | On Evaluating Session-Based Recommendation with Implicit Feedback. | 2021 | 1 |
| 5 | Making Sense of Metrics in the Music Industries | 2021 | 4 |
| 6 | Artsheets for Art Datasets | 2021 | 1 |
| 7 | Social Data: Biases, Methodological Pitfalls, and Ethical Boundariesbreakdown → | 2019 | 402 |
| 8 | Overview of the TREC 2014 Web Track | 2017 | 12 |
| 9 | Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI | 2016 | 13 |
| 10 | TREC 2014 Temporal Summarization Track Overview | 2014 | 37 |
| 11 | Overview of the NTCIR-11 Cooking Recipe Search Task. | 2014 | 7 |
| 12 | Extracting Information Nuggets from Disaster- Related Messages in Social Media | 2013 | 256 |
| 13 | TREC 2013 Temporal Summarization. | 2013 | 32 |
| 14 | Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking | 2010 | 3 |
| 15 | UMass Robust 2005: Using Mixtures of Relevance Models for Query Expansion | 2005 | 10 |
| 16 | 2004 | 78 | |
| 17 | 2002 | 134 | |
| 18 | 2002 | 118 | |
| 19 | 1996 | 8 | |
| 20 | 1984 | 7 |
About Fernando Díaz
Fernando Díaz is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence, having authored 135 papers that have together received 5.5k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (36 papers), Topic Modeling (29 papers), Recommender Systems and Techniques (20 papers), Web Data Mining and Analysis (20 papers), Mobile Crowdsensing and Crowdsourcing (14 papers), Complex Network Analysis Techniques (11 papers), Ethics and Social Impacts of AI (9 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Communication (878 citations), Information Systems (1.8k citations) and Artificial Intelligence (2.2k 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, Emre Kıcıman, Rosie Jones, Alexandra Olteanu, Patrick Meier and Donald Metzler. Their work appears in journals such as Computer Aided Surgery, ACM SIGIR Forum, ACM Transactions on Information Systems, Journal of neurosurgery 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.