Marvin W. Daehler

47 total papers · 863 total citations
35 papers, 610 citations indexed

About

Marvin W. Daehler is a scholar working on Developmental and Educational Psychology, Education and Automotive Engineering. According to data from OpenAlex, Marvin W. Daehler has authored 35 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Developmental and Educational Psychology, 9 papers in Education and 7 papers in Automotive Engineering. Recurrent topics in Marvin W. Daehler's work include Child and Animal Learning Development (17 papers), Spatial Cognition and Navigation (7 papers) and Early Childhood Education and Development (6 papers). Marvin W. Daehler is often cited by papers focused on Child and Animal Learning Development (17 papers), Spatial Cognition and Navigation (7 papers) and Early Childhood Education and Development (6 papers). Marvin W. Daehler collaborates with scholars based in United States. Marvin W. Daehler's co-authors include Danuta Bukatko, Zhe Chen, Nancy A. Myers, John H. Flavell, Zhe Chen, Marion Perlmutter, Carolyn Greco and John C. Wright and has published in prestigious journals such as Child Development, Journal of Educational Psychology and Developmental Psychology.

In The Last Decade

Marvin W. Daehler

33 papers receiving 521 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marvin W. Daehler 428 146 140 136 113 35 610
Penelope H. Brooks 313 0.7× 105 0.7× 95 0.7× 146 1.1× 97 0.9× 21 515
Tamar Zelniker 346 0.8× 159 1.1× 174 1.2× 154 1.1× 139 1.2× 33 617
Sergio Morra 317 0.7× 124 0.8× 201 1.4× 244 1.8× 146 1.3× 48 667
Bryce B. Hudgins 277 0.6× 219 1.5× 122 0.9× 90 0.7× 84 0.7× 23 572
Jeanne L. Shinskey 416 1.0× 122 0.8× 67 0.5× 190 1.4× 108 1.0× 22 562
Karrie E. Godwin 312 0.7× 220 1.5× 116 0.8× 148 1.1× 66 0.6× 35 605
Frank H. Hooper 317 0.7× 227 1.6× 111 0.8× 83 0.6× 131 1.2× 39 682
Anna Shusterman 319 0.7× 169 1.2× 174 1.2× 153 1.1× 209 1.8× 19 684
Melissa M. Kibbe 295 0.7× 113 0.8× 82 0.6× 218 1.6× 112 1.0× 46 499
Miriam A. Novack 463 1.1× 103 0.7× 197 1.4× 91 0.7× 49 0.4× 37 652

Countries citing papers authored by Marvin W. Daehler

Since Specialization
Citations

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

Fields of papers citing papers by Marvin W. Daehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marvin W. Daehler. 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 Marvin W. Daehler. The network helps show where Marvin W. Daehler may publish in the future.

Co-authorship network of co-authors of Marvin W. Daehler

This figure shows the co-authorship network connecting the top 25 collaborators of Marvin W. Daehler. A scholar is included among the top collaborators of Marvin W. Daehler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marvin W. Daehler. Marvin W. Daehler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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