Mark Warschauer

24.4k total citations · 9 hit papers
250 papers, 13.2k citations indexed

About

Mark Warschauer is a scholar working on Education, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Mark Warschauer has authored 250 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Education, 74 papers in Developmental and Educational Psychology and 59 papers in Computer Science Applications. Recurrent topics in Mark Warschauer's work include Innovative Teaching and Learning Methods (46 papers), Child Development and Digital Technology (36 papers) and Teaching and Learning Programming (30 papers). Mark Warschauer is often cited by papers focused on Innovative Teaching and Learning Methods (46 papers), Child Development and Digital Technology (36 papers) and Teaching and Learning Programming (30 papers). Mark Warschauer collaborates with scholars based in United States, Germany and South Korea. Mark Warschauer's co-authors include Douglas Grimes, Deborah Healey, Richard Kern, Tina Matuchniak, Binbin Zheng, Paige Ware, Ying Xu, Tamara Tate, George Farkas and Hansol Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Child Development.

In The Last Decade

Mark Warschauer

239 papers receiving 11.0k citations

Hit Papers

Technology and Social Inc... 1995 2026 2005 2015 2003 1995 1997 1998 2000 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Mark Warschauer 5.6k 3.5k 3.2k 2.9k 2.5k 250 13.2k
James Paul Gee 10.4k 1.9× 3.6k 1.0× 6.9k 2.2× 6.7k 2.3× 1.4k 0.5× 181 24.3k
Marlene Scardamalia 7.0k 1.2× 1.0k 0.3× 6.7k 2.1× 1.2k 0.4× 1.0k 0.4× 135 10.7k
Yrjö Engeström 7.5k 1.3× 918 0.3× 4.0k 1.3× 1.0k 0.3× 898 0.4× 151 17.5k
Bill Cope 3.9k 0.7× 1.2k 0.4× 1.1k 0.3× 4.6k 1.6× 948 0.4× 181 9.0k
Marc Prensky 5.3k 1.0× 423 0.1× 3.2k 1.0× 946 0.3× 2.9k 1.1× 43 12.7k
Ken Hyland 6.3k 1.1× 10.4k 3.0× 6.1k 1.9× 15.6k 5.3× 1.2k 0.5× 231 22.8k
Carl Bereiter 6.8k 1.2× 956 0.3× 6.2k 1.9× 1.1k 0.4× 685 0.3× 139 10.4k
Zoltán Dörnyei 7.5k 1.3× 19.1k 5.5× 9.2k 2.9× 12.4k 4.2× 2.2k 0.9× 114 27.9k
David W. Johnson 14.7k 2.6× 1.0k 0.3× 10.0k 3.1× 675 0.2× 2.0k 0.8× 268 26.1k
Allan Collins 8.5k 1.5× 540 0.2× 6.9k 2.2× 574 0.2× 1.4k 0.5× 58 15.4k

Countries citing papers authored by Mark Warschauer

Since Specialization
Citations

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

Fields of papers citing papers by Mark Warschauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Warschauer

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Warschauer. A scholar is included among the top collaborators of Mark Warschauer 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 Warschauer. Mark Warschauer 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.
Xu, Ying, et al.. (2025). Promoting parent-child shared reading with a bilingual conversational agent. International Journal of Human-Computer Studies. 199. 103489–103489. 1 indexed citations
3.
Tate, Tamara, Young‐Suk Grace Kim, Penelope Collins, Mark Warschauer, & Carol Booth Olson. (2024). Linguistic Features of Secondary School Writing: Can Natural Language Processing Shine a Light on Differences by Sex, English Language Status, or Higher Scoring Essays?. Written Communication. 41(3). 485–512. 1 indexed citations
4.
Ritchie, Daniel, et al.. (2024). AI Literacy for Multilingual Learners: Storytelling, Role-playing, and Programming. ˜The œCATESOL journal.. 35(1).
5.
Baek, Clare, Tamara Tate, & Mark Warschauer. (2024). “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI. Computers and Education Artificial Intelligence. 7. 100294–100294. 33 indexed citations
6.
Warschauer, Mark, et al.. (2024). Restorying with AI Art among Latinx Elementary Students. 1648–1649. 1 indexed citations
7.
Parker, Miranda C., et al.. (2023). Coding attitudes of fourth-grade latinx students during distance learning. Computer Science Education. 34(4). 679–717. 2 indexed citations
9.
Tate, Tamara & Mark Warschauer. (2022). Access, Digital Writing, and Achievement: The Data in Two Diverse School Districts. California Digital Library. 15(1). 2 indexed citations
10.
Xu, Ying, et al.. (2021). Dialogue with a conversational agent promotes children’s story comprehension via enhancing engagement. Child Development. 93(2). e149–e167. 43 indexed citations
11.
Baker, Rachel, Di Xu, Jihyun Park, et al.. (2020). The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes. International Journal of Educational Technology in Higher Education. 17(1). 61 indexed citations
12.
Nguyen, Ha, et al.. (2020). Reflection as formative assessment of computational thinking in elementary grades. International Conference of Learning Sciences. 3 indexed citations
13.
Xu, Di, et al.. (2019). Getting Academically Underprepared Students Ready through College Developmental Education: Does the Course Delivery Format Matter?. American Journal of Distance Education. 33(3). 178–194. 9 indexed citations
14.
Park, Jihyun, Renzhe Yu, Fernando Rodriguez, et al.. (2018). Understanding Student Procrastination via Mixture Models.. Educational Data Mining. 36 indexed citations
15.
Warschauer, Mark, et al.. (2016). Syntactic enhancement and second language literacy: An experimental study. Language learning & technology. 20(3). 180–199. 17 indexed citations
16.
Warschauer, Mark, et al.. (2016). Language learning through social networks: Perceptions and reality. Language learning & technology. 20(1). 124–147. 71 indexed citations
17.
Warschauer, Mark. (2006). Going One-to-One.. Educational leadership. 63(4). 34–38. 19 indexed citations
18.
Warschauer, Mark, et al.. (2006). From the University to the Elementary Classroom: Students’ Experiences in Learning to Integrate Technology in Instruction. The Journal of Technology and Teacher Education. 14(3). 599–621. 127 indexed citations
19.
Warschauer, Mark. (2003). The Allures and Illusions of Modernity: Technology and Educational Reform in Egypt. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Warschauer, Mark. (2000). THE DEATH OF CYBERSPACE AND THE REBIRTH OF CALL. 61–67. 47 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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