Roberto Daza
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
-
- Tuberculosis Research and Epidemiology 4
-
- Online Learning and Analytics 5
- Co-authors
- Julián Fiérrez (13 shared papers)Aythami Morales (14 shared papers)Rubén Tolosana (5 shared papers)Javier Ortega-García (4 shared papers)Ruth Cobos (5 shared papers)Juan Rafael Orozco‐Arroyave (1 shared paper)Javier Segovia (2 shared papers)A. Varela (3 shared papers)
- Journals
- Clinical Infectious Diseases (2 papers)Chemotherapy (2 papers)Clinical Microbiology and Infection (1 paper)IEEE Access (1 paper)Drugs (1 paper)
- Partner nations
- SpainUnited KingdomBrazil
In The Last Decade
Roberto Daza
22 papers receiving 201 citations
Peers
Comparison fields: 5 of 70
- Computer Science Applications 29
- Human-Computer Interaction 25
- Infectious Diseases 55
- Endocrinology 13
- Health Informatics 3
Countries citing papers authored by Roberto Daza
This map shows the geographic impact of Roberto Daza'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 Roberto Daza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Daza more than expected).
Fields of papers citing papers by Roberto Daza
This network shows the impact of papers produced by Roberto Daza. 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 Roberto Daza. The network helps show where Roberto Daza may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Daza, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 29 | |
| 2 | 2009 | 24 | |
| 3 | 2023 | 21 | |
| 4 | Rhodococcus equi: first case in a heart transplant recipient. | 1994 | 21 |
| 5 | 2021 | 19 | |
| 6 | 2000 | 13 | |
| 7 | 2016 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 1977 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 1996 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2004 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | [Septic arthritis caused by Streptococcus pneumoniae]. | 1997 | 2 |
| 20 | 1977 | 2 |
About Roberto Daza
Roberto Daza is a scholar working on Infectious Diseases, Computer Science Applications, Surgery, Epidemiology and Artificial Intelligence, having authored 25 papers that have together received 206 indexed citations. Recurring topics across this work include Online Learning and Analytics (5 papers), Tuberculosis Research and Epidemiology (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Gaze Tracking and Assistive Technology (3 papers), Antibiotic Resistance in Bacteria (3 papers), Mycobacterium research and diagnosis (3 papers), Context-Aware Activity Recognition Systems (2 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Computer Science Applications (29 citations), Human-Computer Interaction (25 citations), Infectious Diseases (55 citations), Endocrinology (13 citations) and Health Informatics (3 citations). Roberto Daza has collaborated with scholars based in Spain, United Kingdom and Brazil. Frequent co-authors include Julián Fiérrez, Aythami Morales, Rubén Tolosana, Javier Ortega-García, Ruth Cobos, Juan Rafael Orozco‐Arroyave, Javier Segovia, A. Varela, M.C. Carreño and Jesús Íñigo Martínez. Their work appears in journals such as Clinical Infectious Diseases, Chemotherapy, Clinical Microbiology and Infection, IEEE Access and Drugs.
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.