Daniel V. Holt

1.3k citations
29 papers · 806 · h-index 16

Impact in

Papers in

Daniel V. Holt

29 papers receiving 785 citations

Peers

Daniel V. Holt
Comparison fields: 5 of 90
  • Experimental and Cognitive Psychology 258
  • Software 51
  • Developmental and Educational Psychology 147
  • Computer Science Applications 62
  • Clinical Psychology 203
Replace Judith A. Spray with:
Judith A. Spray United States
Kensuke Okada Japan
Cyril Brom Czechia
Kael Rowan United States
Sharon A. Mutter United States
Jörg‐Tobias Kuhn Germany
Mark D. Shermis United States
Rianne Janssen Belgium
Shiguang Ni China
Lee A. Becker United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel V. Holt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel V. Holt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel V. Holt. 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 Daniel V. Holt. The network helps show where Daniel V. Holt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020151
2 201395
3 201675
4 201355
5 201753
6 201151
7 201839
8 201831
9 201030
10 201127
11 201325
12 201420
13 201519
14 201118
15 201717
16 201915
17
Perspectives on problem solving in cognitive research and educational assessment: analytical, interactive, and collaborative problem solving
201315
18 201113
19 199010
20 20159

About Daniel V. Holt

Daniel V. Holt is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Management Science and Operations Research, Clinical Psychology and Information Systems, having authored 29 papers that have together received 806 indexed citations. Recurring topics across this work include Cognitive Science and Mapping (8 papers), Complex Systems and Decision Making (7 papers), Schizophrenia research and treatment (4 papers), Mental Health Research Topics (4 papers), Cognitive Abilities and Testing (4 papers), Mental Health and Psychiatry (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (258 citations), Software (51 citations), Developmental and Educational Psychology (147 citations), Computer Science Applications (62 citations) and Clinical Psychology (203 citations). Daniel V. Holt has collaborated with scholars based in Germany, Switzerland and Luxembourg. Frequent co-authors include Joachim Funke, Samuel Greiff, Luise Pruessner, Katrin Schulze, Sven Barnow, Jutta Joormann, Janet Siegmund, Matthias Weisbrod, Beate Ditzen and Corina Aguilar‐Raab. Their work appears in journals such as Journal of the International Neuropsychological Society, Emotion, Journal of Affective Disorders, Brain Research and Frontiers in Psychology.

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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