Linda Larson‐Prior
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 10%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Tracy S. NolanMarcus E. RaichleAbraham Z. SnyderFred PriorJohn ZempelRebecca S. CoalsonBradley L. SchlaggarTammie L.S. Benzinger
- Topics
- Neural dynamics and brain function (17 papers)Functional Brain Connectivity Studies (17 papers)EEG and Brain-Computer Interfaces (9 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Linda Larson‐Prior
60 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 1.4k
- Radiology, Nuclear Medicine and Imaging 443
- Psychiatry and Mental health 318
- Cellular and Molecular Neuroscience 204
- Experimental and Cognitive Psychology 178
Countries citing papers authored by Linda Larson‐Prior
This map shows the geographic impact of Linda Larson‐Prior'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 Linda Larson‐Prior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Larson‐Prior more than expected).
Fields of papers citing papers by Linda Larson‐Prior
This network shows the impact of papers produced by Linda Larson‐Prior. 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 Linda Larson‐Prior. The network helps show where Linda Larson‐Prior may publish in the future.
Co-authorship network of co-authors of Linda Larson‐Prior
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Larson‐Prior. A scholar is included among the top collaborators of Linda Larson‐Prior 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 Linda Larson‐Prior. Linda Larson‐Prior 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 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 24 | |
| 12 | 13 | |
| 13 | 127 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 37 | |
| 17 | 18 | |
| 18 | 99 | |
| 19 | 2 | |
| 20 | 12 |
About Linda Larson‐Prior
Linda Larson‐Prior is a scholar working on Cognitive Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation and Sensory Systems, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Functional Brain Connectivity Studies (17 papers) and EEG and Brain-Computer Interfaces (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Psychiatry and Mental health (318 citations) and Radiology, Nuclear Medicine and Imaging (443 citations). Linda Larson‐Prior has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Tracy S. Nolan, Marcus E. Raichle, Abraham Z. Snyder, Fred Prior, John Zempel, Rebecca S. Coalson, Bradley L. Schlaggar, Tammie L.S. Benzinger, Soe Mar and Todd J. Schwedt. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.
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.