Daniel N. Albohn

502 citations
28 papers · 285 · h-index 9

Impact in

    • Evolutionary Psychology and Human Behavior
    • Face Recognition and Perception
    • Neural and Behavioral Psychology Studies
    • Psychology of Moral and Emotional Judgment
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms

Papers in

Daniel N. Albohn

26 papers receiving 276 citations

Peers

Daniel N. Albohn
Comparison fields: 5 of 61
  • Experimental and Cognitive Psychology 130
  • Cognitive Neuroscience 178
  • Neuropsychology and Physiological Psychology 10
  • Social Psychology 65
  • Sensory Systems 11
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Sofia Frade Portugal
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Marina Palazova Germany
Liuting Diao China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel N. Albohn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel N. Albohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel N. Albohn, 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 N. Albohn Line = papers co-authored together Daniel N. Albohn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201743
2 201739
3 201627
4 201720
5 202020
6 201916
7 201816
8 201614
9 201714
10 20188
11 20227
12 20207
13 20226
14 20226
15 20215
16 20195
17 20194
18 20244
19 20254
20 20254

About Daniel N. Albohn

Daniel N. Albohn is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Neuropsychology and Physiological Psychology and Sociology and Political Science, having authored 28 papers that have together received 285 indexed citations. Recurring topics across this work include Face Recognition and Perception (21 papers), Evolutionary Psychology and Human Behavior (15 papers), Psychology of Moral and Emotional Judgment (5 papers), Aesthetic Perception and Analysis (4 papers), Neural and Behavioral Psychology Studies (3 papers), Emotions and Moral Behavior (3 papers), Social and Intergroup Psychology (3 papers) and Cultural Differences and Values (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (130 citations), Cognitive Neuroscience (178 citations), Neuropsychology and Physiological Psychology (10 citations), Social Psychology (65 citations) and Sensory Systems (11 citations). Daniel N. Albohn has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Reginald B. Adams, Kestutis Kveraga, Hee Yeon Im, Troy G. Steiner, Ursula S. Hess, Alexander T. Todorov, Robert E. Kleck, Stefan Uddenberg, Sang Chul Chong and Noreen Ward. Their work appears in journals such as Frontiers in Psychology, Scientific Reports, Journal of Vision, Nature Human Behaviour and Journal of Experimental Psychology Human Perception & Performance.

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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