Caitlin Mullin
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Artificial Intelligence
- Co-authors
- Jennifer K. E. SteevesJohan WagemansRebecca ChamberlainYalda MohsenzadehAude OlivaChristoph RediesDimitrios PantazisGregor U. Hayn‐Leichsenring
- Topics
- Face Recognition and Perception (10 papers)Neural dynamics and brain function (9 papers)Visual perception and processing mechanisms (9 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- CanadaUnited StatesBelgium
In The Last Decade
Caitlin Mullin
19 papers receiving 394 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 334
- Experimental and Cognitive Psychology 88
- Computer Vision and Pattern Recognition 84
- Social Psychology 49
- Artificial Intelligence 22
Countries citing papers authored by Caitlin Mullin
This map shows the geographic impact of Caitlin Mullin'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 Caitlin Mullin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin Mullin more than expected).
Fields of papers citing papers by Caitlin Mullin
This network shows the impact of papers produced by Caitlin Mullin. 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 Caitlin Mullin. The network helps show where Caitlin Mullin may publish in the future.
Co-authorship network of co-authors of Caitlin Mullin
This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin Mullin. A scholar is included among the top collaborators of Caitlin Mullin 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 Caitlin Mullin. Caitlin Mullin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 4 | |
| 3 | 19 | |
| 4 | 14 | |
| 5 | 26 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 108 | |
| 9 | 18 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 44 | |
| 15 | 22 | |
| 16 | 35 | |
| 17 | 0 | |
| 18 | 51 | |
| 19 | 10 | |
| 20 | 1 |
About Caitlin Mullin
Caitlin Mullin is a scholar working on Cognitive Neuroscience, Visual Arts and Performing Arts and Experimental and Cognitive Psychology, having authored 20 papers that have together received 406 indexed citations. Recurring topics across this work include Face Recognition and Perception (10 papers), Neural dynamics and brain function (9 papers) and Visual perception and processing mechanisms (9 papers). The work is most often cited by research in Cognitive Neuroscience (334 citations), Experimental and Cognitive Psychology (88 citations) and Computer Vision and Pattern Recognition (84 citations). Caitlin Mullin has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Jennifer K. E. Steeves, Johan Wagemans, Rebecca Chamberlain, Yalda Mohsenzadeh, Aude Oliva, Christoph Redies, Dimitrios Pantazis, Gregor U. Hayn‐Leichsenring, Claudia Menzel and Radoslaw Martin Cichy. Their work appears in journals such as Journal of Neuroscience, Scientific Reports and PLoS Biology.
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.