Daniel Kaiser

4.2k citations
131 papers · 2.3k · 1 hit paper · h-index 28

Impact in

    • Face Recognition and Perception
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Neural and Behavioral Psychology Studies
    • EEG and Brain-Computer Interfaces
  • Classics top 2%
    • Byzantine Studies and History

Papers in

Daniel Kaiser

105 papers receiving 2.0k citations

Daniel Kaiser's Hit Papers

Deep Neural Networks as Scientific Models 2019 · 277 citations
2770+2+4Years since publication50100150200250

Peers

Daniel Kaiser
Comparison fields: 5 of 153
  • Cognitive Neuroscience 1.3k
  • Classics 172
  • Experimental and Cognitive Psychology 256
  • History 201
  • Sensory Systems 68
Replace James Elkins with:
James Elkins United States
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Leonard B. Meyer United States
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Donald E. Hall United States
Munro S. Edmonson United States
Jean-Jacques Nattiez Canada
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Rens Bod Netherlands
Daniel Kaiser relative to James Elkins United States James Elkins's profile →
Citations per field
00.5×10×20×26.1×
James Elkins · 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-authors

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

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Neural Networks as Scientific Models
Hit paper breakdown →
2019277
2 1976192
3 2016102
4 2019102
5 202090
6 198171
7 201670
8 201369
9 198669
10 201562
11 201461
12 201656
13 200052
14 201343
15 201339
16 198538
17 201237
18 201936
19 201536
20 201635

About Daniel Kaiser

Daniel Kaiser is a scholar working on Cognitive Neuroscience, Political Science and International Relations, Computer Vision and Pattern Recognition, History and Astronomy and Astrophysics, having authored 131 papers that have together received 2.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (37 papers), Face Recognition and Perception (34 papers), Neural dynamics and brain function (29 papers), Visual Attention and Saliency Detection (12 papers), Stellar, planetary, and galactic studies (10 papers), Neural and Behavioral Psychology Studies (9 papers), Astronomical Observations and Instrumentation (9 papers) and Astronomy and Astrophysical Research (8 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Classics (172 citations), Experimental and Cognitive Psychology (256 citations), History (201 citations) and Sensory Systems (68 citations). Daniel Kaiser has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Radoslaw Martin Cichy, Marius V. Peelen, Harold Bloom, Timo Stein, Nancy Shields Kollmann, Gyula Kovács, Charles J. Halperin, Clayton Hickey, Genevieve L. Quek and Nikolaas N. Oosterhof. Their work appears in journals such as Journal of Neurophysiology, The American Historical Review, NeuroImage, Russian History and Journal of Vision.

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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