Katherine E. Conen
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
- Visual perception and processing mechanisms
Papers in
-
- Neural and Behavioral Psychology Studies 5
- Neural dynamics and brain function 4
- Visual perception and processing mechanisms 4
- EEG and Brain-Computer Interfaces 1
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- Gene Regulatory Network Analysis 1
- Co-authors
- Camillo Padoa‐Schioppa (5 shared papers)Sébastien Ballesta (1 shared paper)Weikang Shi (1 shared paper)Aldo Rustichini (1 shared paper)Xinying Cai (1 shared paper)Jacob D. Davidson (1 shared paper)Iain D. Couzin (1 shared paper)Guoqiang Zhang (1 shared paper)
- Journals
- Nature Communications (1 paper)Journal of Neuroscience (1 paper)iScience (1 paper)Journal of Neurophysiology (1 paper)Nature (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Katherine E. Conen
6 papers receiving 394 citations
Peers
Comparison fields: 5 of 72
- General Decision Sciences 61
- Cognitive Neuroscience 305
- Experimental and Cognitive Psychology 44
- Sensory Systems 14
- Cellular and Molecular Neuroscience 47
Countries citing papers authored by Katherine E. Conen
This map shows the geographic impact of Katherine E. Conen'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 E. Conen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine E. Conen more than expected).
Fields of papers citing papers by Katherine E. Conen
This network shows the impact of papers produced by Katherine E. Conen. 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 E. Conen. The network helps show where Katherine E. Conen may publish in the future.
Co-authors
The 13 scholars most cited alongside Katherine E. Conen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 181 | |
| 2 | 2020 | 83 | |
| 3 | 2017 | 55 | |
| 4 | 2020 | 50 | |
| 5 | 2019 | 18 | |
| 6 | 2015 | 15 |
About Katherine E. Conen
Katherine E. Conen is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology and Genetics, having authored 6 papers that have together received 402 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (5 papers), Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (4 papers), Zebrafish Biomedical Research Applications (1 paper), Neuroscience and Neural Engineering (1 paper), Evolution and Genetic Dynamics (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in General Decision Sciences (61 citations), Cognitive Neuroscience (305 citations), Experimental and Cognitive Psychology (44 citations), Sensory Systems (14 citations) and Cellular and Molecular Neuroscience (47 citations). Katherine E. Conen has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Camillo Padoa‐Schioppa, Sébastien Ballesta, Weikang Shi, Aldo Rustichini, Xinying Cai, Jacob D. Davidson, Iain D. Couzin, Guoqiang Zhang, Jingyao Li and Mark C. Fishman. Their work appears in journals such as Nature Communications, Journal of Neuroscience, iScience, Journal of Neurophysiology and Nature.
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.