Daniel Kaiser

106 papers and 1.7k indexed citations i.

About

Daniel Kaiser is a scholar working on Cognitive Neuroscience, Political Science and International Relations and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Kaiser has authored 106 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cognitive Neuroscience, 13 papers in Political Science and International Relations and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Kaiser’s work include Visual perception and processing mechanisms (33 papers), Face Recognition and Perception (32 papers) and Neural dynamics and brain function (28 papers). Daniel Kaiser is often cited by papers focused on Visual perception and processing mechanisms (33 papers), Face Recognition and Perception (32 papers) and Neural dynamics and brain function (28 papers). Daniel Kaiser collaborates with scholars based in Germany, United Kingdom and United States. Daniel Kaiser's co-authors include Radoslaw M. Cichy, Marius V. Peelen, Harold Bloom, Timo Stein, Gyula Kovács, Nancy Shields Kollmann, Clayton Hickey, Nikolaas N. Oosterhof, Genevieve L. Quek and Charles J. Halperin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Daniel Kaiser i

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.

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).

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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