Daniel D. Dilks

61 papers and 2.4k indexed citations i.

About

Daniel D. Dilks is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Daniel D. Dilks has authored 61 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Daniel D. Dilks’s work include Face Recognition and Perception (29 papers), Visual perception and processing mechanisms (29 papers) and Neural dynamics and brain function (15 papers). Daniel D. Dilks is often cited by papers focused on Face Recognition and Perception (29 papers), Visual perception and processing mechanisms (29 papers) and Neural dynamics and brain function (15 papers). Daniel D. Dilks collaborates with scholars based in United States, Germany and United Kingdom. Daniel D. Dilks's co-authors include Nancy Kanwisher, Joshua B. Julian, Rebecca Saxe, Christina Triantafyllou, Andrew S. Persichetti, Frederik S. Kamps, David Pitcher, Eli Peli, Alexander Paunov and Chris I. Baker and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Daniel D. Dilks i

Fields of papers citing papers by Daniel D. Dilks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel D. Dilks

Since Specialization
Citations

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