Kirsten Berthold

2.3k citations
57 papers · 1.6k indexed · h-index 22

Kirsten Berthold

55 papers receiving 1.5k citations

Peers

Kirsten Berthold
Comparison fields: 5 of 79
  • Developmental and Educational Psychology 1.2k
  • Experimental and Cognitive Psychology 749
  • Education 815
  • Computer Science Applications 117
  • Artificial Intelligence 325
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Citations per year

Countries citing papers authored by Kirsten Berthold

Since Specialization
Citations

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

Fields of papers citing papers by Kirsten Berthold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20243
3 202312
4 20236
5 20220
6 20213
7 20218
8 202014
9 201819
10 201713
11 201763
12 201634
13 201524
14
Judging the plausibility of argumentative statements in scientific texts: An expert-novice comparison
20141
15 201327
16 2009170
17
Wie kann eine aktive Verarbeitung von instruktionalen Erklärungen zu multiplen Repräsentationen gefördert werden? [How can an active processing of instructional explanations on multiple representations be fostered?]
20072
18 2007232
19
Fostering the Understanding of Multi-Representational Examples by Self-Explanation Prompts
20052
20 200451

About Kirsten Berthold

Kirsten Berthold is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Education, Computer Science Applications and Artificial Intelligence, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (34 papers), Visual and Cognitive Learning Processes (31 papers), Educational Strategies and Epistemologies (25 papers), Intelligent Tutoring Systems and Adaptive Learning (10 papers), Online and Blended Learning (9 papers), Education and Critical Thinking Development (7 papers), Science Education and Pedagogy (7 papers) and Memory Processes and Influences (6 papers). The work is most often cited by research in Developmental and Educational Psychology (1.2k citations), Experimental and Cognitive Psychology (749 citations), Education (815 citations), Computer Science Applications (117 citations) and Artificial Intelligence (325 citations). Kirsten Berthold has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Alexander Renkl, Julian Roelle, Matthias Nückles, Tessa H.S. Eysink, Rolf Schwonke, Sebastian Schmid, Stefan Fries, Maria Opfermann, Bas Kollöffel and Tobias Richter. Their work appears in journals such as Instructional Science, Learning and Instruction, Journal of Educational Psychology, Applied Cognitive Psychology and Journal of Applied Research in Memory and Cognition.

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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