Rafael Duque

44 papers receiving 364 citations

Peers

Rafael Duque
Comparison fields: 5 of 67
  • Computer Science Applications 93
  • Human-Computer Interaction 75
  • Health Informatics 10
  • Developmental and Educational Psychology 61
  • Neurology 31
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Carmen Lacave Spain
Mazeyanti Mohd Ariffin Malaysia
Fitra Abdurrachman Bachtiar Indonesia
Christopher Bull United Kingdom
Dip Nandi Bangladesh
María Visitación Hurtado Spain
Muhammad Afzaal Sweden
Anitha S. Pillai India
Rui Pedro Lopes Portugal
Xizhe Wang China
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Citations per year

Countries citing papers authored by Rafael Duque

Since Specialization
Citations

This map shows the geographic impact of Rafael Duque'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 Rafael Duque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Duque more than expected).

Fields of papers citing papers by Rafael Duque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Duque. 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 Rafael Duque. The network helps show where Rafael Duque may publish in the future.

Co-authors

The 22 scholars most cited alongside Rafael Duque, 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 Rafael Duque Line = papers co-authored together Rafael Duque links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202069
2 201252
3 200835
4 201420
5 200714
6 201713
7 201213
8 201113
9 201912
10 201012
11 20089
12 20099
13 20169
14 20247
15 20117
16 20237
17 20216
18 20136
19 20175
20 20225

About Rafael Duque

Rafael Duque is a scholar working on Human-Computer Interaction, Information Systems, Management Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 47 papers that have together received 377 indexed citations. Recurring topics across this work include Usability and User Interface Design (16 papers), Business Process Modeling and Analysis (10 papers), Context-Aware Activity Recognition Systems (8 papers), Innovative Teaching and Learning Methods (7 papers), Software Engineering Techniques and Practices (6 papers), Service-Oriented Architecture and Web Services (5 papers), E-Learning and Knowledge Management (4 papers) and Open Education and E-Learning (3 papers). The work is most often cited by research in Computer Science Applications (93 citations), Human-Computer Interaction (75 citations), Health Informatics (10 citations), Developmental and Educational Psychology (61 citations) and Neurology (31 citations). Rafael Duque has collaborated with scholars based in Spain, United States and Colombia. Frequent co-authors include Crescencio Bravo, José Luis Montaña, Carmen Lage, Jesús Gallardo, Alicia Nieto-Reyes, Manuel Ortega, Domingo Gómez‐Pérez, María Luisa Rodríguez, María Visitación Hurtado and Carlos Rodríguez-Domínguez. Their work appears in journals such as Sensors, Journal of Ambient Intelligence and Humanized Computing, Journal of Network and Computer Applications, Computer Applications in Engineering Education and Journal of Systems and Software.

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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