Kailyn Schmidt
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Biophysics top 5%
- Co-authors
- James J. DiCarloKohitij KarElias B. IssaRishi RajalinghamJonas KubiliusPouya BashivanAran NayebiDaniel Yamins
- Topics
- Neural dynamics and brain function (4 papers)Face Recognition and Perception (4 papers)Neural Networks and Applications (2 papers)
- Partner nations
- United StatesBelgium
In The Last Decade
Kailyn Schmidt
8 papers receiving 531 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 444
- Computer Vision and Pattern Recognition 143
- Artificial Intelligence 95
- Electrical and Electronic Engineering 54
- Biophysics 52
Countries citing papers authored by Kailyn Schmidt
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).
Fields of papers citing papers by Kailyn Schmidt
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.
Co-authorship network of co-authors of Kailyn Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Kailyn Schmidt. A scholar is included among the top collaborators of Kailyn Schmidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kailyn Schmidt. Kailyn Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 253 | |
| 3 | 35 | |
| 4 | 190 | |
| 5 | 3 | |
| 6 | Evidence that feedback is required for object identity inferences computed by the ventral stream | 1 |
| 7 | Standardization of International Advertising Strategies: A Content Analysis of Pantene Pro-V | 1 |
| 8 | 60 |
About Kailyn Schmidt
Kailyn Schmidt is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 8 papers that have together received 544 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Face Recognition and Perception (4 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (444 citations), Biophysics (52 citations) and Computer Vision and Pattern Recognition (143 citations). Kailyn Schmidt has collaborated with scholars based in United States and Belgium. Frequent co-authors include James J. DiCarlo, Kohitij Kar, Elias B. Issa, Rishi Rajalingham, Jonas Kubilius, Pouya Bashivan, Aran Nayebi, Daniel Yamins, Martin Schrimpf and Daniel M. Bear. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience 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.