Jaime Díaz

40 papers receiving 306 citations

Peers

Jaime Díaz
Comparison fields: 5 of 102
  • Human-Computer Interaction 33
  • Information Systems and Management 39
  • Computer Science Applications 28
  • Business and International Management 6
  • Industrial and Manufacturing Engineering 26
Replace Gheorghe Orzan with:
Gheorghe Orzan Romania
Julián Goñi Chile
Ruoyu Liang China
Jane Wood United Kingdom
Dragoș Sebastian Cristea Romania
Kenan Degirmenci Australia
Rohit Kumar India
Emil R. Kaburuan Indonesia
Francesca Cellina Switzerland
Jaime Díaz relative to Gheorghe Orzan Romania Gheorghe Orzan's profile →
Citations per field
00.5×7.5×
Gheorghe Orzan · 1×
Citations per year

Countries citing papers authored by Jaime Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jaime Díaz, 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 Jaime Díaz Line = papers co-authored together Jaime Díaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 201343
3 202423
4 201321
5 201521
6 202120
7 202314
8 201913
9 201612
10 202311
11 202110
12 20149
13 20219
14 20238
15 20217
16 20225
17 20244
18 20244
19 20193
20 20183

About Jaime Díaz

Jaime Díaz is a scholar working on Information Systems, Computer Science Applications, Developmental and Educational Psychology, Education and Sociology and Political Science, having authored 45 papers that have together received 319 indexed citations. Recurring topics across this work include Educational Games and Gamification (7 papers), Technology Adoption and User Behaviour (5 papers), Software Engineering Research (4 papers), Teaching and Learning Programming (4 papers), E-Learning and Knowledge Management (4 papers), Digital Communication and Language (3 papers), Education and Critical Thinking Development (3 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Human-Computer Interaction (33 citations), Information Systems and Management (39 citations), Computer Science Applications (28 citations), Business and International Management (6 citations) and Industrial and Manufacturing Engineering (26 citations). Jaime Díaz has collaborated with scholars based in Chile, Colombia and Portugal. Frequent co-authors include Cristián Rusu, César A. Collazos, Jeferson Arango‐López, Claudia R. Binder, Olivier Jolliet, Giuseppe Feola, Glenda García-Santos, Fernando Moreira, Samuel Sepúlveda and José Antonio Pow-Sang. Their work appears in journals such as Applied Sciences, IEEE Access, Journal of Agricultural and Food Chemistry, Neural Computing and Applications and Sustainability.

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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