Fernando A. Mikic-Fonte

1.5k total citations
65 papers, 922 citations indexed

About

Fernando A. Mikic-Fonte is a scholar working on Computer Science Applications, Education and Information Systems. According to data from OpenAlex, Fernando A. Mikic-Fonte has authored 65 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Science Applications, 22 papers in Education and 18 papers in Information Systems. Recurrent topics in Fernando A. Mikic-Fonte's work include Online Learning and Analytics (19 papers), Experimental Learning in Engineering (12 papers) and Online and Blended Learning (9 papers). Fernando A. Mikic-Fonte is often cited by papers focused on Online Learning and Analytics (19 papers), Experimental Learning in Engineering (12 papers) and Online and Blended Learning (9 papers). Fernando A. Mikic-Fonte collaborates with scholars based in Spain, Egypt and Estonia. Fernando A. Mikic-Fonte's co-authors include Martín Llamas Nistal, Manuel Caeiro Rodríguez, Juan C. Burguillo, Ana Peleteiro, Ana Belén Barragáns Martínez, Marta Rey-López, Enrique Costa‐Montenegro, Manuel J. Fernández Iglesias, Luis Anido and Jaanus Terasmaa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Fernando A. Mikic-Fonte

61 papers receiving 864 citations

Peers

Fernando A. Mikic-Fonte
Comparison fields: 5 of 96
  • Information Systems 400
  • Artificial Intelligence 243
  • Computer Science Applications 226
  • Education 191
  • Computer Vision and Pattern Recognition 142
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Citations per field, relative to Fernando A. Mikic-Fonte
Fernando A. Mikic-Fonte · 1×
Citations per year, relative to Fernando A. Mikic-Fonte
Fernando A. Mikic-Fonte · 1×

Countries citing papers authored by Fernando A. Mikic-Fonte

Since Specialization
Citations

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

Fields of papers citing papers by Fernando A. Mikic-Fonte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando A. Mikic-Fonte. 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 A. Mikic-Fonte. The network helps show where Fernando A. Mikic-Fonte may publish in the future.

Co-authorship network of co-authors of Fernando A. Mikic-Fonte

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando A. Mikic-Fonte. A scholar is included among the top collaborators of Fernando A. Mikic-Fonte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernando A. Mikic-Fonte. Fernando A. Mikic-Fonte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 7
5 1
6 3
7 76
8 2
9 4
10
Arquitectura de ordenadores: ejercicios prácticos de ARM-Thumb
2
11
Research in Learning Analytics and Educational Data Mining to Measure Self-Regulated Learning: A Systematic Review
15
12
BeA add-ons to support on-line assessment and to improve review communications
4
13 9
14 1
15 3
16 1
17 19
18 10
19
Accessibility and Mobile Learning Standardization, Introducing Some Ideas About the Device Profile (DP)
2
20
Variations in the ascorbic acid content of cow's milk from different sources in the course of a year.
1

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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