Daniel Bodemer

84 papers receiving 2.1k citations

Daniel Bodemer's Hit Papers

International Handbook of the Learning Sciences 2018 · 255 citations
2550+2+5Years since publication50100150200250

Peers

Daniel Bodemer
Comparison fields: 5 of 81
  • Developmental and Educational Psychology 998
  • Computer Science Applications 262
  • Experimental and Cognitive Psychology 355
  • Education 591
  • Information Systems 216
Replace Heisawn Jeong with:
Heisawn Jeong South Korea
Sadhana Puntambekar United States
Karsten Stegmann Germany
Kuo-En Chang Taiwan
Ingo Kollar Germany
Chen‐Chung Liu Taiwan
Dan Suthers United States
Kristine Lund France
Xun Ge United States
Daniel Bodemer relative to Heisawn Jeong South Korea Heisawn Jeong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Bodemer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bodemer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
International Handbook of the Learning Sciences
Hit paper breakdown →
2018255
2 2004210
3 2013196
4 2010158
5 2017124
6 2010104
7 2005102
8 200993
9 200592
10 200890
11 201969
12 201055
13 201855
14 202153
15 201848
16 201646
17 202240
18 201039
19 202237
20 201429

About Daniel Bodemer

Daniel Bodemer is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Communication, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (59 papers), Visual and Cognitive Learning Processes (17 papers), Intelligent Tutoring Systems and Adaptive Learning (11 papers), Augmented Reality Applications (10 papers), Wikis in Education and Collaboration (8 papers), Online and Blended Learning (6 papers), Online Learning and Analytics (6 papers) and Memory Processes and Influences (4 papers). The work is most often cited by research in Developmental and Educational Psychology (998 citations), Computer Science Applications (262 citations), Experimental and Cognitive Psychology (355 citations), Education (591 citations) and Information Systems (216 citations). Daniel Bodemer has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Jeroen J. H. M. Janssen, Jessica Dehler, Lenka Schnaubert, Jürgen Buder, Rolf Ploetzner, Hans Spada, Friedrich Wilhelm Hesse, Susan R. Goldman, Leerstoel van Gog and Education and Learning: Development in Interaction. Their work appears in journals such as Computers in Human Behavior, International Journal of Computer-Supported Collaborative Learning, Research and Practice in Technology Enhanced Learning, Learning and Instruction and Cognitive Research Principles and Implications.

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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