Collin Lynch

2.1k citations
91 papers · 1.0k · h-index 14

Impact in

Papers in

Collin Lynch

85 papers receiving 921 citations

Peers

Collin Lynch
Comparison fields: 5 of 75
  • Computer Science Applications 543
  • Developmental and Educational Psychology 443
  • Artificial Intelligence 519
  • Education 220
  • Information Systems 167
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Citations per year

Countries citing papers authored by Collin Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Collin Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005326
2
The Andes Physics Tutoring System: Five Years of Evaluations
200565
3
Defining "Ill-Defined Domains"; A literature survey.
200654
4 200944
5 201642
6
MOOC learner behaviors by country and culture; An exploratory analysis
201636
7 202426
8 200925
9 201823
10 202021
11 202118
12 202217
13 201716
14 202115
15
Towards Closing the Loop: Bridging Machine-Induced Pedagogical Policies to Learning Theories.
201713
16 202013
17
Communities of performance & communities of preference
201512
18 202112
19 201712
20
Collaborative Talk Across Two Pair-Programming Configurations
201910

About Collin Lynch

Collin Lynch is a scholar working on Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Information Systems and Education, having authored 91 papers that have together received 1.0k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (29 papers), Teaching and Learning Programming (27 papers), Online Learning and Analytics (26 papers), Intelligent Tutoring Systems and Adaptive Learning (21 papers), Educational Games and Gamification (11 papers), Software Engineering Research (10 papers), Online and Blended Learning (8 papers) and Artificial Intelligence in Law (7 papers). The work is most often cited by research in Computer Science Applications (543 citations), Developmental and Educational Psychology (443 citations), Artificial Intelligence (519 citations), Education (220 citations) and Information Systems (167 citations). Collin Lynch has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Anders Weinstein, Robert Shelby, M. C. Wintersgill, Kurt VanLehn, Kay G. Schulze, Joel A. Shapiro, D.J. Treacy, Kristy Elizabeth Boyer, Vincent Aleven and Niels Pinkwart. Their work appears in journals such as International Journal of Child-Computer Interaction, International Journal of Artificial Intelligence in Education, Computer Science Education, Higher Education and Cognitive Science.

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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