Mark Guzdial

16.7k total citations · 2 hit papers
307 papers, 10.8k citations indexed

About

Mark Guzdial is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Media Technology. According to data from OpenAlex, Mark Guzdial has authored 307 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Computer Science Applications, 113 papers in Developmental and Educational Psychology and 44 papers in Media Technology. Recurrent topics in Mark Guzdial's work include Teaching and Learning Programming (148 papers), Innovative Teaching and Learning Methods (80 papers) and Online Learning and Analytics (68 papers). Mark Guzdial is often cited by papers focused on Teaching and Learning Programming (148 papers), Innovative Teaching and Learning Methods (80 papers) and Online Learning and Analytics (68 papers). Mark Guzdial collaborates with scholars based in United States, United Kingdom and Israel. Mark Guzdial's co-authors include Elliot Soloway, Annemarie Sullivan Palincsar, Phyllis C. Blumenfeld, Joseph Krajcik, Ronald W. Marx, Barbara Ericson, Allison Elliott Tew, Andrea Forte, Jennifer Turns and Briana B. Morrison and has published in prestigious journals such as Communications of the ACM, Computers & Education and Computer.

In The Last Decade

Mark Guzdial

293 papers receiving 9.7k citations

Hit Papers

Motivating Project-Based ... 1991 2026 2002 2014 1991 1991 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark Guzdial 6.0k 4.2k 3.6k 2.0k 1.8k 307 10.8k
Mitchel Resnick 5.3k 0.9× 3.2k 0.8× 2.2k 0.6× 1.7k 0.8× 607 0.3× 97 10.1k
Yasmin B. Kafai 5.5k 0.9× 3.9k 0.9× 2.3k 0.7× 1.5k 0.8× 528 0.3× 262 9.3k
Roy Pea 3.8k 0.6× 5.6k 1.3× 5.2k 1.5× 1.8k 0.9× 648 0.4× 176 12.4k
Elliot Soloway 4.2k 0.7× 5.8k 1.4× 7.1k 2.0× 4.6k 2.3× 1.5k 0.8× 255 15.8k
Beth Simon 3.3k 0.5× 1.6k 0.4× 1.6k 0.4× 1.4k 0.7× 1.0k 0.6× 136 5.0k
Jeannette M. Wing 5.5k 0.9× 2.3k 0.5× 1.4k 0.4× 3.4k 1.7× 657 0.4× 102 12.2k
Joseph Krajcik 1.8k 0.3× 7.1k 1.7× 12.6k 3.5× 1.5k 0.8× 1.6k 0.9× 207 16.5k
Valerie J. Shute 2.4k 0.4× 3.6k 0.9× 3.2k 0.9× 757 0.4× 307 0.2× 125 8.5k
Punya Mishra 2.9k 0.5× 3.5k 0.8× 11.9k 3.3× 5.4k 2.7× 729 0.4× 202 17.0k
Aman Yadav 2.7k 0.4× 1.5k 0.4× 1.6k 0.4× 637 0.3× 639 0.4× 153 4.5k

Countries citing papers authored by Mark Guzdial

Since Specialization
Citations

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

Fields of papers citing papers by Mark Guzdial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Guzdial

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Guzdial. A scholar is included among the top collaborators of Mark Guzdial 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 Mark Guzdial. Mark Guzdial 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
2.
Guzdial, Mark & A. E. Evrard. (2023). Identifying the Computing Education Needs of Liberal Arts and Sciences Students (Discussion Paper). 1–7. 6 indexed citations
3.
Ottenbreit‐Leftwich, Anne, Joshua Childs, Maureen Biggers, et al.. (2022). How to change a state: Broadening participation in K-12 computer science education. Policy Futures in Education. 4 indexed citations
4.
DiSalvo, Betsy, et al.. (2020). Embodied Representations in Computing Education: How Gesture, Embodied Language, and Tool Use Support Teaching Recursion.. ICLS. 8 indexed citations
5.
Margulieux, Lauren E., Briana B. Morrison, Mark Guzdial, & Richard Catrambone. (2016). Training learners to self-explain: Designing instructions and examples to improve problem solving. ScholarWorks - Georgia State University (Georgia State University). 98–105. 3 indexed citations
6.
Margulieux, Lauren E., Richard Catrambone, & Mark Guzdial. (2013). Subgoal Labeled Worked Examples Improve K-12 Teacher Performance in Computer Programming Training. Cognitive Science. 35(35). 6 indexed citations
7.
Guzdial, Mark & Barbara Ericson. (2010). Introduction to computing & programming in Python : amultimedia approach. Prentice Hall eBooks. 9 indexed citations
8.
Guzdial, Mark. (2009). Contextualized computing education of programming. Australasian Computing Education Conference. 3–3. 2 indexed citations
9.
Kumar, Deepak, Douglas Blank, Tucker Balch, et al.. (2008). Engaging Computing Students with AI and Robotics.. National Conference on Artificial Intelligence. 55–60. 14 indexed citations
10.
Dougherty, Joseph D., Susan H. Rodger, Sue Fitzgerald, & Mark Guzdial. (2008). Proceedings of the 39th SIGCSE technical symposium on Computer science education. 1 indexed citations
11.
Anderson, Richard, Sally Fincher, & Mark Guzdial. (2006). Proceedings of the second international workshop on Computing education research. 6 indexed citations
12.
Guzdial, Mark. (2000). A Catalog of CoWeb Uses. Journal of NeuroInterventional Surgery. 8(7). 710–3. 14 indexed citations
13.
Hmelo, Cindy E., Mark Guzdial, & Jennifer Turns. (1999). Computer-support for collaborative learning: learning to support student engagement. The Journal of Interactive Learning Research. 9(2). 107–129. 44 indexed citations
14.
Guzdial, Mark & Colleen M. Kehoe. (1998). Apprenticeship-Based Learning Environments: A Principled Approach to Providing Software-Realized Scaffolding through Hypermedia.. The Journal of Interactive Learning Research. 9(3). 289–336. 15 indexed citations
15.
Hmelo, Cindy E. & Mark Guzdial. (1996). Of black and glass boxes: scaffolding for doing and learning. International Conference of Learning Sciences. 128–134. 32 indexed citations
16.
Hübscher, Roland, Cindy E. Hmelo, N. Hari Narayanan, Mark Guzdial, & Janet L. Kolodner. (1996). McBAGEL: a shared and structured electronic workspace for problem-based learning. International Conference of Learning Sciences. 560–560. 2 indexed citations
17.
Byrne, Michael D., Mark Guzdial, Richard Catrambone, et al.. (1996). The role of student tasks in accessing cognitive media types. International Conference of Learning Sciences. 114–119. 5 indexed citations
18.
Guzdial, Mark, Ashwin Ram, Richard Catrambone, et al.. (1996). Exploring interface options in multimedia educational environments. International Conference of Learning Sciences. 496–501. 4 indexed citations
19.
Guzdial, Mark, Jorge A. Vanegas, Farrokh Mistree, et al.. (1995). Supporting Collaboration and Reflection on Problem-Solving in a Project-Based Classroom. Computing in Civil Engineering. 334–343. 5 indexed citations
20.
Guzdial, Mark, et al.. (1992). Design support environments for end users. 57–78. 4 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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