Katherine L. Hermann
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Neurology
- Social Psychology
- Experimental and Cognitive Psychology
- Co-authors
- David J. LinJeremy D. SchmahmannBevil R. ConwayThorsten HansenNancy KanwisherCaroline E. RobertsonDwight J. KravitzDimitrios Pantazis
- Topics
- Visual perception and processing mechanisms (4 papers)Generative Adversarial Networks and Image Synthesis (2 papers)Multisensory perception and integration (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Katherine L. Hermann
12 papers receiving 222 citations
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 109
- Cellular and Molecular Neuroscience 72
- Neurology 56
- Social Psychology 34
- Experimental and Cognitive Psychology 27
Countries citing papers authored by Katherine L. Hermann
This map shows the geographic impact of Katherine L. Hermann'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 Katherine L. Hermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine L. Hermann more than expected).
Fields of papers citing papers by Katherine L. Hermann
This network shows the impact of papers produced by Katherine L. Hermann. 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 Katherine L. Hermann. The network helps show where Katherine L. Hermann may publish in the future.
Co-authorship network of co-authors of Katherine L. Hermann
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine L. Hermann. A scholar is included among the top collaborators of Katherine L. Hermann 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 Katherine L. Hermann. Katherine L. Hermann 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 | 2 | |
| 3 | 10 | |
| 4 | The Origins and Prevalence of Texture Bias in Convolutional Neural Networks | 7 |
| 5 | What shapes feature representations? Exploring datasets, architectures, and training | 5 |
| 6 | 21 | |
| 7 | Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks. | 4 |
| 8 | 41 | |
| 9 | 58 | |
| 10 | 33 | |
| 11 | 2 | |
| 12 | 45 |
About Katherine L. Hermann
Katherine L. Hermann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology, having authored 12 papers that have together received 229 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multisensory perception and integration (2 papers). The work is most often cited by research in Cognitive Neuroscience (109 citations), Cellular and Molecular Neuroscience (72 citations) and Sensory Systems (19 citations). Katherine L. Hermann has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David J. Lin, Jeremy D. Schmahmann, Bevil R. Conway, Thorsten Hansen, Nancy Kanwisher, Caroline E. Robertson, Dwight J. Kravitz, Dimitrios Pantazis, Simon Kornblith and Andrew K. Lampinen. Their work appears in journals such as Nature Communications, Current Biology and Movement Disorders.
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.