Dor Abrahamson

3.4k citations
143 papers · 2.7k · h-index 24

Impact in

Papers in

Dor Abrahamson

134 papers receiving 2.4k citations

Peers

Dor Abrahamson
Comparison fields: 5 of 108
  • Developmental and Educational Psychology 1.2k
  • Human-Computer Interaction 422
  • Computer Science Applications 300
  • Statistics and Probability 370
  • Cognitive Neuroscience 707
Replace Candace Walkington with:
Candace Walkington United States
Nicole M. McNeil United States
Ferdinando Arzarello Italy
Ricardo Nemirovsky United States
Carole R. Beal United States
Björn B. de Koning Netherlands
William D. Winn United States
James Minogue United States
Tina Seufert Germany
Mina C. Johnson‐Glenberg United States
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Citations per field
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Citations per year

Countries citing papers authored by Dor Abrahamson

Since Specialization
Citations

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

Fields of papers citing papers by Dor Abrahamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014168
2 2016165
3 2020131
4 2008112
5 2014110
6 2011106
7 201690
8 201478
9 201575
10 201574
11 201365
12 201165
13 201963
14 201760
15 201156
16 200952
17 202048
18 200747
19 201246
20 201838

About Dor Abrahamson

Dor Abrahamson is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Cognitive Neuroscience, Education and Computer Science Applications, having authored 143 papers that have together received 2.7k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (45 papers), Mathematics Education and Teaching Techniques (31 papers), Embodied and Extended Cognition (26 papers), Action Observation and Synchronization (23 papers), Statistics Education and Methodologies (19 papers), Design Education and Practice (17 papers), Cognitive and developmental aspects of mathematical skills (13 papers) and Child and Animal Learning Development (13 papers). The work is most often cited by research in Developmental and Educational Psychology (1.2k citations), Human-Computer Interaction (422 citations), Computer Science Applications (300 citations), Statistics and Probability (370 citations) and Cognitive Neuroscience (707 citations). Dor Abrahamson has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Dragan Trninić, Raúl Sánchez García, Arthur Bakker, Robb Lindgren, Uri Wilensky, Анна Шварц, Shakıla Shayan, Virginia J. Flood, Daniel L. Reinholz and Mark Howison. Their work appears in journals such as ZDM, International Journal of Child-Computer Interaction, Educational Psychology Review, Journal of the Learning Sciences and Educational Studies in Mathematics.

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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