Daniel Kaiser

4.1k citations
118 papers · 2.0k indexed · h-index 25

Daniel Kaiser

102 papers receiving 1.8k citations

Peers

Daniel Kaiser
Comparison fields: 5 of 152
  • Cognitive Neuroscience 1.3k
  • Experimental and Cognitive Psychology 251
  • Computer Vision and Pattern Recognition 291
  • Sensory Systems 67
  • Classics 32
Replace Leonard B. Meyer with:
Leonard B. Meyer United States
Gary Hatfield United States
Bence Nánay Belgium
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Citations per field
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Leonard B. Meyer · 1×
Citations per year

Countries citing papers authored by Daniel Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20245
4 20242
5 20243
6 20240
7 20240
8 202210
9 20225
10 20228
11 202111
12 202119
13 202015
14
Photometric Variability in the Strongly Interacting Binary DK Canum Venaticorum
20051
15 19981
16
Period Correction for the New Eclipsing Binary DHK41
19951
17
The costs of consumer choice for auto insurance in states without no-fault insurance
19953
18
Photometry of the New Eclipsing Binary DHK 16 = SAO 80992
19901
19
Measurements of Balmer emission line profiles for southern Be stars. III. New data and radial velocities.
19850
20
UBV-Hbet photometry of luminous stars between l=335 and l=6.
19821

About Daniel Kaiser

Daniel Kaiser is a scholar working on Cognitive Neuroscience, Instrumentation, History, Classics and Sensory Systems, having authored 118 papers that have together received 2.0k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (38 papers), Face Recognition and Perception (34 papers), Neural dynamics and brain function (30 papers), Visual Attention and Saliency Detection (12 papers), Stellar, planetary, and galactic studies (9 papers), Neural and Behavioral Psychology Studies (9 papers), Astronomical Observations and Instrumentation (8 papers) and Aesthetic Perception and Analysis (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Experimental and Cognitive Psychology (251 citations), Computer Vision and Pattern Recognition (291 citations), Sensory Systems (67 citations) and Classics (32 citations). Daniel Kaiser has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Radoslaw Martin Cichy, Marius V. Peelen, Harold Bloom, Timo Stein, Gyula Kovács, Nancy Shields Kollmann, Clayton Hickey, Genevieve L. Quek, Nikolaas N. Oosterhof and Charles J. Halperin. Their work appears in journals such as Journal of Neurophysiology, The American Historical Review, NeuroImage, Russian History and Journal of Cognitive Neuroscience.

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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2026