Brendan Eagan

38 papers receiving 637 citations

Peers

Brendan Eagan
Comparison fields: 5 of 86
  • Computer Science Applications 232
  • Developmental and Educational Psychology 278
  • General Social Sciences 29
  • Health Informatics 9
  • Education 191
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Hyeju Jang United States
Enrique Barra Spain
Elizabeth Bagley United States
Hercy N.H. Cheng Taiwan
Philippe Dessus France
Niwat Srisawasdi Thailand
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Citations per year

Countries citing papers authored by Brendan Eagan

Since Specialization
Citations

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

Fields of papers citing papers by Brendan Eagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018168
2 202172
3 201947
4 201846
5 201845
6 201934
7 202023
8
Can We Rely on IRR? Testing the Assumptions of Inter-Rater Reliability.
201720
9 201917
10 201817
11 202016
12 202113
13 202311
14 202211
15 202210
16 20208
17 20216
18 20176
19
Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment.
20176
20 20206

About Brendan Eagan

Brendan Eagan is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Sociology and Political Science, Education and Computer Science Applications, having authored 43 papers that have together received 647 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (15 papers), Topic Modeling (6 papers), Online Learning and Analytics (6 papers), Simulation-Based Education in Healthcare (4 papers), Computational and Text Analysis Methods (4 papers), Complex Network Analysis Techniques (4 papers), Complex Systems and Decision Making (4 papers) and Teacher Education and Leadership Studies (3 papers). The work is most often cited by research in Computer Science Applications (232 citations), Developmental and Educational Psychology (278 citations), General Social Sciences (29 citations), Health Informatics (9 citations) and Education (191 citations). Brendan Eagan has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include David Williamson Shaffer, Srécko Joksimovíc, Dragan Gašević, Zhiqiang Cai, Amanda Siebert-Evenstone, Sara Tabatabai, A. R. Ruis, Zachari Swiecki, Alec M. Bodzin and Denise M. Bressler. Their work appears in journals such as Clinical Simulation in Nursing, International Journal of Computer-Supported Collaborative Learning, Journal of Learning Analytics, Journal of Youth and Adolescence and Surgery.

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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