Mark Schlager

27 papers receiving 979 citations

Peers

Mark Schlager
Comparison fields: 5 of 106
  • Human Factors and Ergonomics 96
  • Developmental and Educational Psychology 472
  • Computer Science Applications 177
  • Communication 190
  • Education 638
Replace Richard A. Schwier with:
Richard A. Schwier Canada
Robert‐Jan Simons Netherlands
Nina Bonderup Dohn Denmark
Douglas N. Gordin United States
Peter van Rosmalen Netherlands
Walter Wager United States
Jan van Bruggen Netherlands
Rosamund Sutherland United Kingdom
Andrew Ravenscroft United Kingdom
Bernhard Ertl Germany
Mark Schlager relative to Richard A. Schwier Canada Richard A. Schwier's profile →
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Countries citing papers authored by Mark Schlager

Since Specialization
Citations

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

Fields of papers citing papers by Mark Schlager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003363
2 2002156
3 200879
4 200777
5 199074
6 202156
7 199746
8 200445
9 199843
10
Characterizing Adaptive Expertise in Science Teaching
200539
11 202135
12 196930
13
Assessing the Impact of a Large-Scale Online Teacher Professional Development Community
200023
14 201322
15 199922
16 200914
17 199912
18 200610
19 198610
20 201010

About Mark Schlager

Mark Schlager is a scholar working on Developmental and Educational Psychology, Education, Communication, Artificial Intelligence and Sociology and Political Science, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (10 papers), Online and Blended Learning (7 papers), Knowledge Management and Sharing (2 papers), Innovative Education and Learning Practices (2 papers), Teacher Education and Leadership Studies (2 papers), Multimedia Communication and Technology (2 papers), AI-based Problem Solving and Planning (2 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Human Factors and Ergonomics (96 citations), Developmental and Educational Psychology (472 citations), Computer Science Applications (177 citations), Communication (190 citations) and Education (638 citations). Mark Schlager has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Judith Fusco, Patricia Schänk, Mark A. McDaniel, Umer Farooq, Nathan Dwyer, Juan P. Fusco, Hunter Gehlbach, Yukie Toyama, Margaret Riel and Laura R. Pina. Their work appears in journals such as Radiation Protection Dosimetry, The Information Society, Journal of Teacher Education, Computer Supported Cooperative Work (CSCW) and Communications of the ACM.

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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