Daniel Yamins

54 papers and 4.0k indexed citations i.

About

Daniel Yamins is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Daniel Yamins has authored 54 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 19 papers in Computer Vision and Pattern Recognition and 13 papers in Artificial Intelligence. Recurrent topics in Daniel Yamins’s work include Neural dynamics and brain function (23 papers), Face Recognition and Perception (19 papers) and Visual perception and processing mechanisms (17 papers). Daniel Yamins is often cited by papers focused on Neural dynamics and brain function (23 papers), Face Recognition and Perception (19 papers) and Visual perception and processing mechanisms (17 papers). Daniel Yamins collaborates with scholars based in United States, China and Belgium. Daniel Yamins's co-authors include James J. DiCarlo, Ha Hong, David Cox, James Bergstra, Charles F. Cadieu, Ethan A. Solomon, Chengxu Zhuang, Najib J. Majaj, Alex Zhai and Josh H. McDermott and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

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

Fields of papers citing papers by Daniel Yamins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Yamins

Since Specialization
Citations

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