Lynn Uhrig
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cellular and Molecular Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Epidemiology
- Co-authors
- Béchir JarrayaStanislas DehaeneJacobo SittPablo BarttfeldMariano SigmanJordy TasserieLiping WangDenis Le Bihan
- Topics
- Functional Brain Connectivity Studies (15 papers)Neural dynamics and brain function (12 papers)EEG and Brain-Computer Interfaces (10 papers)
- Cited by
- Cognitive NeuroscienceAnesthesiology and Pain MedicineRadiology, Nuclear Medicine and Imaging
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Lynn Uhrig
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 885
- Radiology, Nuclear Medicine and Imaging 242
- Cellular and Molecular Neuroscience 126
- Experimental and Cognitive Psychology 83
- Epidemiology 77
Countries citing papers authored by Lynn Uhrig
This map shows the geographic impact of Lynn Uhrig'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 Lynn Uhrig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Uhrig more than expected).
Fields of papers citing papers by Lynn Uhrig
This network shows the impact of papers produced by Lynn Uhrig. 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 Lynn Uhrig. The network helps show where Lynn Uhrig may publish in the future.
Co-authorship network of co-authors of Lynn Uhrig
This figure shows the co-authorship network connecting the top 25 collaborators of Lynn Uhrig. A scholar is included among the top collaborators of Lynn Uhrig 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 Lynn Uhrig. Lynn Uhrig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 92 | |
| 7 | 11 | |
| 8 | 33 | |
| 9 | 15 | |
| 10 | 16 | |
| 11 | 78 | |
| 12 | 53 | |
| 13 | Signature of consciousness in the dynamics of resting-state brain activitybreakdown → | 472 |
| 14 | 105 | |
| 15 | 82 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 44 | |
| 19 | 9 | |
| 20 | 17 |
About Lynn Uhrig
Lynn Uhrig is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (12 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Cognitive Neuroscience (885 citations), Anesthesiology and Pain Medicine (72 citations) and Radiology, Nuclear Medicine and Imaging (242 citations). Lynn Uhrig has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Béchir Jarraya, Stanislas Dehaene, Jacobo Sitt, Pablo Barttfeld, Mariano Sigman, Jordy Tasserie, Liping Wang, Denis Le Bihan, Gustavo Deco and Morten L. Kringelbach. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.