Hans Spada

85 papers receiving 2.6k citations

Peers

Hans Spada
Comparison fields: 5 of 130
  • Developmental and Educational Psychology 1.4k
  • Computer Science Applications 355
  • Communication 332
  • Education 1.0k
  • Experimental and Cognitive Psychology 420
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Jon‐Chao Hong Taiwan
Herre van Oostendorp Netherlands
Heinz Mandl Germany
Ulrike Creß Germany
Chi‐Cheng Chang Taiwan
Cynthia J. Atman United States
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Citations per field
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Citations per year

Countries citing papers authored by Hans Spada

Since Specialization
Citations

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

Fields of papers citing papers by Hans Spada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hans Spada, 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 Hans Spada Line = papers co-authored together Hans Spada 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 2005305
2
Learning in Humans and Machines : Towards an Interdisciplinary Learning Science
1995230
3 2007219
4 2014205
5 2014177
6 2004172
7
Learning in Humans and Machines
199595
8
Developmental models of thinking
198094
9 200184
10
Acquiring knowledge in science and mathematics : the use of multiple representations in technology based learning environments
199882
11 200879
12 200173
13 201163
14 201462
15 201857
16 201056
17 201452
18 199941
19 201540
20 201336

About Hans Spada

Hans Spada is a scholar working on Developmental and Educational Psychology, Sociology and Political Science, Education, Social Psychology and Experimental and Cognitive Psychology, having authored 90 papers that have together received 2.9k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (40 papers), Visual and Cognitive Learning Processes (10 papers), Team Dynamics and Performance (9 papers), Environmental Education and Sustainability (9 papers), Online and Blended Learning (8 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Wikis in Education and Collaboration (6 papers) and Knowledge Management and Sharing (6 papers). The work is most often cited by research in Developmental and Educational Psychology (1.4k citations), Computer Science Applications (355 citations), Communication (332 citations), Education (1.0k citations) and Experimental and Cognitive Psychology (420 citations). Hans Spada has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Nikol Rummel, Ulf J.J. Hahnel, Peter Reimann, Anne Meier, Josef Nerb, Reimann, Rolf Ploetzner, Michael Wiedmann, Daniel Bodemer and Rainer H. Kluwe. Their work appears in journals such as International Journal of Computer-Supported Collaborative Learning, Frontiers in Psychology, Learning and Instruction, Applied Cognitive Psychology and Cognition & Emotion.

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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