Kailyn Schmidt

7 papers and 479 indexed citations i.

About

Kailyn Schmidt is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kailyn Schmidt has authored 7 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Kailyn Schmidt’s work include Face Recognition and Perception (3 papers), Neural dynamics and brain function (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Kailyn Schmidt is often cited by papers focused on Face Recognition and Perception (3 papers), Neural dynamics and brain function (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Kailyn Schmidt collaborates with scholars based in United States and Belgium. Kailyn Schmidt's co-authors include James J. DiCarlo, Kohitij Kar, Elias B. Issa, Rishi Rajalingham, Jonas Kubilius, Pouya Bashivan, Ha Hong, Martin Schrimpf, Najib J. Majaj and Daniel Yamins and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Journal of Vision.

In The Last Decade

Co-authorship network of co-authors of Kailyn Schmidt i

Fields of papers citing papers by Kailyn Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kailyn Schmidt

Since Specialization
Citations

This map shows the geographic impact of Kailyn Schmidt'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 Kailyn Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailyn Schmidt 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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2025