Nigel Bosch

3.0k total citations
78 papers, 1.6k citations indexed

About

Nigel Bosch is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Nigel Bosch has authored 78 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 28 papers in Computer Science Applications and 27 papers in Developmental and Educational Psychology. Recurrent topics in Nigel Bosch's work include Online Learning and Analytics (28 papers), Innovative Teaching and Learning Methods (25 papers) and Intelligent Tutoring Systems and Adaptive Learning (20 papers). Nigel Bosch is often cited by papers focused on Online Learning and Analytics (28 papers), Innovative Teaching and Learning Methods (25 papers) and Intelligent Tutoring Systems and Adaptive Learning (20 papers). Nigel Bosch collaborates with scholars based in United States, Bulgaria and Canada. Nigel Bosch's co-authors include Sidney K. D’Mello, Ryan S. Baker, Hamed Monkaresi, Rafael A. Calvo, Jaclyn Ocumpaugh, Valerie J. Shute, Caitlin Mills, Matthew Ventura, Catharine E. Fairbairn and Collin McMillan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Applied Psychology and Proceedings of the IEEE.

In The Last Decade

Nigel Bosch

74 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel Bosch United States 21 470 445 371 370 362 78 1.6k
Winslow Burleson United States 20 434 0.9× 595 1.3× 385 1.0× 480 1.3× 481 1.3× 83 1.9k
Claude Frasson Canada 17 286 0.6× 518 1.2× 250 0.7× 200 0.5× 299 0.8× 131 1.1k
Andrew M. Olney United States 19 540 1.1× 1.3k 3.0× 192 0.5× 239 0.6× 752 2.1× 75 2.1k
Kaśka Porayska‐Pomsta United Kingdom 17 331 0.7× 385 0.9× 530 1.4× 115 0.3× 346 1.0× 41 1.5k
Celine Latulipe United States 24 383 0.8× 154 0.3× 210 0.6× 233 0.6× 210 0.6× 98 2.0k
Olga C. Santos Spain 23 690 1.5× 543 1.2× 100 0.3× 169 0.5× 315 0.9× 111 1.6k
Matthew Ventura United States 17 324 0.7× 429 1.0× 134 0.4× 292 0.8× 625 1.7× 37 1.3k
Jaclyn Ocumpaugh United States 17 521 1.1× 481 1.1× 109 0.3× 206 0.6× 464 1.3× 56 1.1k
Kristy Elizabeth Boyer United States 24 1.1k 2.4× 765 1.7× 115 0.3× 185 0.5× 771 2.1× 174 2.1k
Jesús G. Boticario Spain 23 592 1.3× 447 1.0× 94 0.3× 153 0.4× 302 0.8× 108 1.3k

Countries citing papers authored by Nigel Bosch

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Bosch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel Bosch

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel Bosch. A scholar is included among the top collaborators of Nigel Bosch 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 Nigel Bosch. Nigel Bosch 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.
Fairbairn, Catharine E., et al.. (2024). A wearable alcohol biosensor: Exploring the accuracy of transdermal drinking detection. Drug and Alcohol Dependence. 266. 112519–112519. 1 indexed citations
2.
Paquette, Luc, et al.. (2024). Conditional and Marginal Strengths of Affect Transitions During Computer-Based Learning. International Journal of Artificial Intelligence in Education. 35(3). 1317–1345.
3.
Yan, Shuicheng, et al.. (2023). A Crowd–AI Collaborative Approach to Address Demographic Bias for Student Performance Prediction in Online Education. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 11(1). 198–210. 1 indexed citations
4.
Fairbairn, Catharine E., et al.. (2022). Examining new‐generation transdermal alcohol biosensor performance across laboratory and field contexts. Alcohol Clinical and Experimental Research. 47(1). 50–59. 8 indexed citations
5.
Hickman, Louis, Rachel Saef, Vincent Ng, et al.. (2021). Developing and evaluating language‐based machine learning algorithms for inferring applicant personality in video interviews. Human Resource Management Journal. 34(2). 255–274. 34 indexed citations
6.
Hutt, Stephen, Jaclyn Ocumpaugh, Nigel Bosch, et al.. (2021). Who’s Stopping You? – Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. eScholarship (California Digital Library). 43(43). 2 indexed citations
7.
Bosch, Nigel, et al.. (2020). Using Association Rule Mining to Uncover Rarely Occurring Relationships in Two University Online STEM Courses: A Comparative Analysis.. Grantee Submission. 1 indexed citations
8.
Anderson, Carolyn Jane, et al.. (2020). Online discussion forum help-seeking behaviors of students underrepresented in STEM. International Conference of Learning Sciences. 809–810. 1 indexed citations
9.
Bosch, Nigel, et al.. (2020). Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models.. Educational Data Mining. 6 indexed citations
10.
Bosch, Nigel, et al.. (2020). Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving.. Educational Data Mining. 1 indexed citations
11.
Bosch, Nigel, et al.. (2020). "Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums.. Grantee Submission. 4 indexed citations
12.
Bosch, Nigel, et al.. (2019). I'm Sure! Automatic Detection of Metacognition in Online Course Discussion Forums.. Grantee Submission. 1 indexed citations
13.
Paquette, Luc, et al.. (2018). Matching data-driven models of group interactions to video analysis of collaborative problem solving on tablet computers. International Conference of Learning Sciences. 1. 312–319. 5 indexed citations
14.
D’Mello, Sidney K., Caitlin Mills, Robert Bixler, & Nigel Bosch. (2017). Zone out no more: Mitigating mind wandering during computerized reading. Educational Data Mining. 23 indexed citations
15.
Stewart, Angela, Nigel Bosch, & Sidney K. D’Mello. (2017). Generalizability of Face-Based Mind Wandering Detection across Task Contexts.. Educational Data Mining. 11 indexed citations
16.
Bosch, Nigel, Sidney K. D’Mello, Ryan S. Baker, et al.. (2016). Detecting student emotions in computer-enabled classrooms. International Joint Conference on Artificial Intelligence. 4125–4129. 35 indexed citations
17.
Bosch, Nigel, et al.. (2016). Student Emotion, Co-Occurrence, and Dropout in a MOOC Context.. Educational Data Mining. 353–357. 29 indexed citations
18.
Bosch, Nigel & Sidney K. D’Mello. (2015). The Affective Experience of Novice Computer Programmers. International Journal of Artificial Intelligence in Education. 27(1). 181–206. 68 indexed citations
19.
Bosch, Nigel, et al.. (2015). Video-Based Affect Detection in Noninteractive Learning Environments.. Educational Data Mining. 440–443. 4 indexed citations
20.
Bosch, Nigel & Sidney K. D’Mello. (2013). Sequential patterns of affective states of novice programmers. 1009. 1–10. 11 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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