Daniel P. Blakely

762 citations
9 papers · 543 · h-index 4

Impact in

Papers in

Daniel P. Blakely

9 papers receiving 511 citations

Peers

Daniel P. Blakely
Comparison fields: 5 of 78
  • Experimental and Cognitive Psychology 266
  • Neuropsychology and Physiological Psychology 27
  • Developmental and Educational Psychology 166
  • Cognitive Neuroscience 155
  • Demography 55
Replace Adam Oei with:
Adam Oei Singapore
Thorsten Kolling Germany
John M. Rybash United States
C. Shawn Green United States
Kasey L. Powers United States
Nancy Zook United Kingdom
Robert Ariel United States
Lacy E. Krueger United States
Manuel Juan-Espinosa Spain
Ayşecan Boduroğlu Türkiye
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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

9 of 9 papers shown
#Work
1 2011338
2 2013135
3 201149
4 201214
5 20062
6 20122
7 20111
8 20111
9 20111

About Daniel P. Blakely

Daniel P. Blakely is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Automotive Engineering and Hardware and Architecture, having authored 9 papers that have together received 543 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (5 papers), Cognitive Abilities and Testing (2 papers), Psychological and Temporal Perspectives Research (2 papers), Visual and Cognitive Learning Processes (2 papers), Visual Attention and Saliency Detection (2 papers), Visual perception and processing mechanisms (2 papers), VLSI and Analog Circuit Testing (1 paper) and Spatial Cognition and Navigation (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (266 citations), Neuropsychology and Physiological Psychology (27 citations), Developmental and Educational Psychology (166 citations), Cognitive Neuroscience (155 citations) and Demography (55 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 Charness, Michael Champion, Andrea K. Tamplin, Gabriel A. Radvansky, James R. Brockmole and Jennifer Jones. Their work appears in journals such as Journal of Vision, Frontiers in Psychology, Vision Research, ACM Transactions on Design Automation of Electronic Systems and Gerontechnology.

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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