Garvin Brod

2.2k citations
59 papers · 1.2k indexed · h-index 19

Impact in

Papers in

Garvin Brod

54 papers receiving 1.2k citations

Peers

Garvin Brod
Comparison fields: 5 of 114
  • Developmental and Educational Psychology 509
  • Cognitive Neuroscience 509
  • Experimental and Cognitive Psychology 278
  • Computer Science Applications 101
  • Education 328
Replace Janell R. Blunt with:
Janell R. Blunt United States
Bridgid Finn United States
Jonathan G. Tullis United States
Vincent Hoogerheide Netherlands
Joshua R. de Leeuw United States
Pooja K. Agarwal United States
Rainer H. Kluwe Germany
Marci S. DeCaro United States
Josje Verhagen Netherlands
Azzurra Ruggeri Germany
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Citations per field
00.5×3.3×
Janell R. Blunt · 1×
Citations per year

Countries citing papers authored by Garvin Brod

Since Specialization
Citations

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

Fields of papers citing papers by Garvin Brod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20242
5 20242
6 20243
7 20240
8 20233
9 202316
10 202311
11 20234
12 20237
13 202318
14 20229
15 201924
16 20191
17 201935
18 20171
19 201634
20 2013146

About Garvin Brod

Garvin Brod is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Cognitive Neuroscience, Education and Developmental Biology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Child and Animal Learning Development (12 papers), Memory and Neural Mechanisms (12 papers), Innovative Teaching and Learning Methods (11 papers), Memory Processes and Influences (11 papers), Psychological and Educational Research Studies (7 papers), Child Development and Digital Technology (7 papers), Neural and Behavioral Psychology Studies (7 papers) and Visual and Cognitive Learning Processes (6 papers). The work is most often cited by research in Developmental and Educational Psychology (509 citations), Cognitive Neuroscience (509 citations), Experimental and Cognitive Psychology (278 citations), Computer Science Applications (101 citations) and Education (328 citations). Garvin Brod has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Yee Lee Shing, Markus Werkle‐Bergner, Silvia A. Bunge, Florian Schmiedek, Ulman Lindenberger, Marcus Hasselhorn, Maria Theobald, Bertram Opitz, Anthony D. Wagner and David Huron. Their work appears in journals such as npj Science of Learning, Learning and Instruction, Child Development, Educational Psychology Review and Mind Brain and Education.

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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