Daniel P. Blakely

777 citations
10 papers · 596 · h-index 4

Impact in

Papers in

Daniel P. Blakely

10 papers receiving 563 citations

Peers

Daniel P. Blakely
Comparison fields: 5 of 78
  • Neuropsychology and Physiological Psychology 31
  • Experimental and Cognitive Psychology 285
  • Developmental and Educational Psychology 189
  • Cognitive Neuroscience 163
  • Demography 66
Replace Adam C. Oei with:
Adam C. Oei Singapore
Thorsten Kolling Germany
C. Shawn Green United States
John M. Rybash United States
Kasey L. Powers United States
Maria Karyotaki Greece
Burcu Demiray Switzerland
Kathleen M. Arnold United States
Georgia Kokkalia Greece
Brenda Ann Marie Hannon United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel P. Blakely

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Blakely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Daniel P. Blakely, 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 P. Blakely Line = papers co-authored together Daniel P. Blakely links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2011373
2 2013145
3 201152
4 201216
5 20113
6 20062
7 20122
8 20111
9 20111
10 20111

About Daniel P. Blakely

Daniel P. Blakely is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Hardware and Architecture and Demography, having authored 10 papers that have together received 596 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (5 papers), Cognitive Abilities and Testing (3 papers), Psychological and Temporal Perspectives Research (2 papers), Visual Attention and Saliency Detection (2 papers), Visual and Cognitive Learning Processes (2 papers), Visual perception and processing mechanisms (2 papers), Child and Animal Learning Development (1 paper) and Cognitive Science and Mapping (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (31 citations), Experimental and Cognitive Psychology (285 citations), Developmental and Educational Psychology (189 citations), Cognitive Neuroscience (163 citations) and Demography (66 citations). Daniel P. Blakely has collaborated with scholars based in United States. Frequent co-authors include Walter R. Boot, Daniel J. Simons, Timothy J. Wright, Dustin J. Souders, Neil H. Charness, Michael Champion, Andrea Kay Tamplin, Gabriel A. Radvansky, James R. Brockmole and Wei Li. Their work appears in journals such as Journal of Vision, Frontiers in Psychology, ACM Transactions on Design Automation of Electronic Systems, Vision Research and The American Journal of 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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