Brendan Flanagan

1.3k total citations
106 papers, 777 citations indexed

About

Brendan Flanagan is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Brendan Flanagan has authored 106 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 48 papers in Computer Science Applications and 39 papers in Information Systems. Recurrent topics in Brendan Flanagan's work include Online Learning and Analytics (45 papers), Intelligent Tutoring Systems and Adaptive Learning (19 papers) and Innovative Teaching and Learning Methods (13 papers). Brendan Flanagan is often cited by papers focused on Online Learning and Analytics (45 papers), Intelligent Tutoring Systems and Adaptive Learning (19 papers) and Innovative Teaching and Learning Methods (13 papers). Brendan Flanagan collaborates with scholars based in Japan, Türkiye and Taiwan. Brendan Flanagan's co-authors include Hiroaki Ogata, Rwitajit Majumdar, Patrick Ocheja, Gökhan Akçapınar, Hiroshi Ueda, Sachio Hirokawa, Irene Y.L. Chen, Solomon Sunday Oyelere, Shin’ichi Konomi and Mei‐Rong Alice Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Access.

In The Last Decade

Brendan Flanagan

95 papers receiving 730 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brendan Flanagan Japan 16 347 288 218 173 151 106 777
Owen H.T. Lu Taiwan 10 603 1.7× 202 0.7× 294 1.3× 307 1.8× 172 1.1× 21 970
Griff Richards Canada 13 353 1.0× 177 0.6× 216 1.0× 110 0.6× 123 0.8× 38 637
Jane Yin-Kim Yau United Kingdom 15 346 1.0× 242 0.8× 109 0.5× 196 1.1× 116 0.8× 51 721
Chengjiu Yin Japan 17 423 1.2× 392 1.4× 219 1.0× 328 1.9× 229 1.5× 96 1.0k
Felix Mödritscher Austria 12 216 0.6× 191 0.7× 151 0.7× 159 0.9× 182 1.2× 48 562
Krishna Madhavan United States 11 336 1.0× 154 0.5× 211 1.0× 134 0.8× 43 0.3× 46 629
Stefaan Ternier Belgium 14 404 1.2× 305 1.1× 191 0.9× 169 1.0× 154 1.0× 66 810
David Bañeres Spain 15 416 1.2× 141 0.5× 239 1.1× 156 0.9× 75 0.5× 50 797
Russell Boyatt United Kingdom 10 479 1.4× 182 0.6× 120 0.6× 226 1.3× 85 0.6× 25 742
Gökhan Akçapınar Türkiye 11 354 1.0× 109 0.4× 134 0.6× 166 1.0× 109 0.7× 56 536

Countries citing papers authored by Brendan Flanagan

Since Specialization
Citations

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

Fields of papers citing papers by Brendan Flanagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brendan Flanagan

This figure shows the co-authorship network connecting the top 25 collaborators of Brendan Flanagan. A scholar is included among the top collaborators of Brendan Flanagan 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 Brendan Flanagan. Brendan Flanagan 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
1.
Ocheja, Patrick, et al.. (2024). An Analytical Study of Large Blocks on Ethereum. 120–127.
2.
Ocheja, Patrick, et al.. (2024). AVERY: A GenAI-Based Approach to Enhancing Learner Engagement in English Writing. International Conference on Computers in Education. 1 indexed citations
3.
Flanagan, Brendan, et al.. (2024). TAMMY: Supporting EFL Translation Practice with an LLM-Powered Chatbot. International Conference on Computers in Education. 1 indexed citations
4.
Flanagan, Brendan, et al.. (2024). Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender. International Journal of Distance Education Technologies. 22(1). 1–23.
5.
Ogata, Hiroaki, Rwitajit Majumdar, & Brendan Flanagan. (2023). Learning in the Digital Age: Power of Shared Learning Logs to Support Sustainable Educational Practices. IEICE Transactions on Information and Systems. E106.D(2). 101–109. 2 indexed citations
6.
Flanagan, Brendan, et al.. (2023). Beyond recommendation acceptance: explanation’s learning effects in a math recommender system. Research and Practice in Technology Enhanced Learning. 19. 20–20. 3 indexed citations
7.
Flanagan, Brendan, et al.. (2023). Enhancing Self-Explanation Learning through a Real-Time Feedback System: An Empirical Evaluation Study. Sustainability. 15(21). 15577–15577. 5 indexed citations
8.
Flanagan, Brendan, et al.. (2023). A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises. Research and Practice in Technology Enhanced Learning. 19. 28–28.
9.
Flanagan, Brendan, et al.. (2022). Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning. Computers and Education Artificial Intelligence. 3. 100104–100104. 16 indexed citations
10.
Flanagan, Brendan, Rwitajit Majumdar, & Hiroaki Ogata. (2022). Early-warning prediction of student performance and engagement in open book assessment by reading behavior analysis. International Journal of Educational Technology in Higher Education. 19(1). 15 indexed citations
11.
Majumdar, Rwitajit, et al.. (2022). Design of a learning dashboard to enhance reading outcomes and self-directed learning behaviors in out-of-class extensive reading. Interactive Learning Environments. 32(3). 892–909. 12 indexed citations
12.
Ocheja, Patrick, Friday Joseph Agbo, Solomon Sunday Oyelere, Brendan Flanagan, & Hiroaki Ogata. (2022). Blockchain in Education: A Systematic Review and Practical Case Studies. IEEE Access. 10. 99525–99540. 28 indexed citations
13.
Flanagan, Brendan, Rwitajit Majumdar, & Hiroaki Ogata. (2022). Fine Grain Synthetic Educational Data: Challenges and Limitations of Collaborative Learning Analytics. IEEE Access. 10. 26230–26241. 10 indexed citations
14.
Chen, Irene Y.L., et al.. (2021). From Human Grading to Machine Grading: Automatic Diagnosis of e-Book Text Marking Skills in Precision Education. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Ocheja, Patrick, Brendan Flanagan, & Hiroaki Ogata. (2021). Blockchain in Education: Connecting Learning Records and Contents through the Blockchain. 2 indexed citations
16.
Chen, Irene Y.L., et al.. (2021). Automatic Generation of Cloze Items for Repeated Testing to Improve Reading Comprehension. SHILAP Revista de lepidopterología. 21 indexed citations
17.
Flanagan, Brendan, et al.. (2019). Investigating Subpopulation of Students in Digital Textbook Reading Logs by Clustering. Kyoto University Research Information Repository (Kyoto University). 465–470. 3 indexed citations
18.
Akçapınar, Gökhan, et al.. (2019). Using Learning Analytics to Detect Off-Task Reading Behaviors in Class. Kyoto University Research Information Repository (Kyoto University). 471–476. 4 indexed citations
19.
Majumdar, Rwitajit, et al.. (2019). Learning Analytics Dashboard Widgets to Author Teaching-Learning Cases for Evidence-based Education. Kyoto University Research Information Repository (Kyoto University). 7 indexed citations
20.
Hirokawa, Sachio, et al.. (2014). Learning winespeak from mind map of wine blogs. Lecture notes in computer science. 383–393. 3 indexed citations

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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