Roberto Daza

24 papers receiving 211 citations

Peers

Roberto Daza
Comparison fields: 5 of 64
  • Computer Science Applications 29
  • Human-Computer Interaction 25
  • Infectious Diseases 48
  • Endocrinology 12
  • Experimental and Cognitive Psychology 20
Replace David Lohr with:
David Lohr Germany
Muhammad Aanish Raees United States
H. Hoffman United States
Sang Yol Mah South Korea
Andrew Selby United Kingdom
Hyeon-Su Kim South Korea
Stephen Whittaker United Kingdom
Jonathan Li Australia
Daniele M. S. Barros Brazil
Galit Lukin United States
Roberto Daza relative to David Lohr Germany David Lohr's profile →
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Citations per year

Countries citing papers authored by Roberto Daza

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Roberto Daza Line = papers co-authored together Roberto Daza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202329
2 202029
3 200924
4
Rhodococcus equi: first case in a heart transplant recipient.
199421
5 202120
6 200013
7 201612
8 202310
9 20238
10 20247
11 20245
12 19965
13 20245
14 20245
15 20044
16 20253
17 20093
18 20252
19 20092
20
[Septic arthritis caused by Streptococcus pneumoniae].
19972

About Roberto Daza

Roberto Daza is a scholar working on Infectious Diseases, Computer Science Applications, Epidemiology, Artificial Intelligence and Human-Computer Interaction, having authored 25 papers that have together received 215 indexed citations. Recurring topics across this work include Online Learning and Analytics (5 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Tuberculosis Research and Epidemiology (4 papers), Antibiotic Resistance in Bacteria (3 papers), Mycobacterium research and diagnosis (3 papers), Gaze Tracking and Assistive Technology (3 papers), Context-Aware Activity Recognition Systems (2 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Computer Science Applications (29 citations), Human-Computer Interaction (25 citations), Infectious Diseases (48 citations), Endocrinology (12 citations) and Experimental and Cognitive Psychology (20 citations). Roberto Daza has collaborated with scholars based in Spain, United Kingdom and Colombia. Frequent co-authors include Julián Fiérrez, Aythami Morales, Rubén Tolosana, Javier Ortega-García, Ruth Cobos, Javier Segovia, Juan Rafael Orozco‐Arroyave, M.C. Carreño, A. Varela and M Yebra. Their work appears in journals such as Chemotherapy, Clinical Infectious Diseases, Pattern Recognition Letters, Antioxidants 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.

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