Dirk Schlimm

621 citations
39 papers · 330 indexed · h-index 11

Impact in

Papers in

Dirk Schlimm

36 papers receiving 269 citations

Peers

Dirk Schlimm
Comparison fields: 5 of 49
  • Theoretical Computer Science 123
  • History and Philosophy of Science 109
  • Statistics and Probability 88
  • Experimental and Cognitive Psychology 99
  • Philosophy 38
Replace Marcus Giaquinto with:
Marcus Giaquinto United Kingdom
Yehuda Rav France
José Ferreirós Spain
William McGowen Priestley United States
Thomas Tymoczko United States
David Sherry United States
Valeria Giardino France
Henry S. Tropp United States
Matthias Schirn Germany
Eli Maor United States
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Citations per field
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Citations per year

Countries citing papers authored by Dirk Schlimm

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Schlimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Dirk Schlimm, 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 Dirk Schlimm Line = papers co-authored together Dirk Schlimm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20213
4 20214
5
Multiple readability in principle and practice: Existential Graphs and complex symbols
20201
6 20206
7 20197
8 20181
9 201516
10 201510
11 20134
12 20132
13 201319
14 20134
15 20102
16
Learning the structure of abstract groups
20091
17
Modeling ancient and modern arithmetic practices: Addition and multiplication with Arabic and Roman numerals
200825
18 20087
19 20084
20 200532

About Dirk Schlimm

Dirk Schlimm is a scholar working on Theoretical Computer Science, History and Philosophy of Science, Statistics and Probability, Experimental and Cognitive Psychology and Education, having authored 39 papers that have together received 330 indexed citations. Recurring topics across this work include History and Theory of Mathematics (16 papers), Philosophy and History of Science (11 papers), Cognitive and developmental aspects of mathematical skills (10 papers), Mathematics Education and Teaching Techniques (9 papers), Philosophy and Theoretical Science (7 papers), Philosophy, Science, and History (5 papers), Historical Linguistics and Language Studies (2 papers) and Language, Metaphor, and Cognition (2 papers). The work is most often cited by research in Theoretical Computer Science (123 citations), History and Philosophy of Science (109 citations), Statistics and Probability (88 citations), Experimental and Cognitive Psychology (99 citations) and Philosophy (38 citations). Dirk Schlimm has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Wilfried Sieg, Hansjörg Neth, Sieghard Beller, Andrea Bender, Karina Vold, Volker Peckhaus, Helen De Cruz, Stephen Chrisomalis, Fiona M. Jordan and Karenleigh A. Overmann. Their work appears in journals such as Synthese, Philosophia Mathematica, Topics in Cognitive Science, History and Philosophy of Logic and Logique et analyse/Logique et analyse. Nouvelle série.

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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