Fernando Rodriguez

607 citations
20 papers · 373 indexed · h-index 11
Topics
Online Learning and Analytics (7 papers)Innovative Teaching and Learning Methods (6 papers)Online and Blended Learning (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEResearch in Higher Education

In The Last Decade

Fernando Rodriguez

19 papers receiving 355 citations

Peers

Fernando Rodriguez
Comparison fields: 5 of 51
  • Education 248
  • Computer Science Applications 135
  • Developmental and Educational Psychology 126
  • Clinical Psychology 42
  • Information Systems 35
Replace Mik Fanguy with:
Mik Fanguy South Korea
Andria Young United States
Jianpeng Guo China
Meryem Yılmaz Soylu United States
Kadir Kozan United States
Michael Wiedmann Germany
Malek Jdaitawi Saudi Arabia
İbrahim Bılgın Türkiye
Nigel Beacham United Kingdom
Juliana Chau Hong Kong
Fernando Rodriguez relative to Mik Fanguy South Korea Mik Fanguy's profile →
Citations per field
00.5×6.1×
Mik Fanguy · 1×
Citations per year

Countries citing papers authored by Fernando Rodriguez

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Rodriguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Rodriguez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Rodriguez. A scholar is included among the top collaborators of Fernando Rodriguez 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 Rodriguez. Fernando Rodriguez 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
#WorkIndexed citations
1 3
2 0
3 2
4 33
5 8
6 8
7 61
8 1
9 5
10 10
11 13
12 23
13 30
14 48
15 15
16
Understanding Student Procrastination via Mixture Models.
36
17 48
18 22
19
Do College Students Notice Errors in Evidence When Critically Evaluating Research Findings
5
20 2

About Fernando Rodriguez

Fernando Rodriguez is a scholar working on Computer Science Applications, Architecture and Developmental and Educational Psychology, having authored 20 papers that have together received 373 indexed citations. Recurring topics across this work include Online Learning and Analytics (7 papers), Innovative Teaching and Learning Methods (6 papers) and Online and Blended Learning (6 papers). The work is most often cited by research in Computer Science Applications (135 citations), Developmental and Educational Psychology (126 citations) and Education (248 citations). Fernando Rodriguez has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Mark Warschauer, Christian Fischer, Di Xu, Jihyun Park, Renzhe Yu, Rachel Baker, Padhraic Smyth, Brian K. Sato, Kameryn Denaro and Ninger Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Research in Higher Education.

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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