Sara Larivière
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Boris C. BernhardtReinder Vos de WaelCasey PaquolaSeok‐Jun HongJonathan SmallwoodJessica RoyerDaniel S. MarguliesSofie L. Valk
- Topics
- Functional Brain Connectivity Studies (36 papers)Advanced Neuroimaging Techniques and Applications (19 papers)Neural dynamics and brain function (18 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Sara Larivière
39 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 1.6k
- Radiology, Nuclear Medicine and Imaging 777
- Psychiatry and Mental health 353
- Cellular and Molecular Neuroscience 232
- Experimental and Cognitive Psychology 130
Countries citing papers authored by Sara Larivière
This map shows the geographic impact of Sara Larivière'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 Sara Larivière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Larivière more than expected).
Fields of papers citing papers by Sara Larivière
This network shows the impact of papers produced by Sara Larivière. 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 Sara Larivière. The network helps show where Sara Larivière may publish in the future.
Co-authorship network of co-authors of Sara Larivière
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Larivière. A scholar is included among the top collaborators of Sara Larivière 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 Sara Larivière. Sara Larivière 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 | 6 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 20 | |
| 6 | 49 | |
| 7 | 10 | |
| 8 | 28 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 40 | |
| 12 | BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasetsbreakdown → | 325 |
| 13 | 44 | |
| 14 | 26 | |
| 15 | 49 | |
| 16 | 44 | |
| 17 | Atypical functional connectome hierarchy in autismbreakdown → | 301 |
| 18 | 23 | |
| 19 | 165 | |
| 20 | 33 |
About Sara Larivière
Sara Larivière is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (36 papers), Advanced Neuroimaging Techniques and Applications (19 papers) and Neural dynamics and brain function (18 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Radiology, Nuclear Medicine and Imaging (777 citations) and Psychiatry and Mental health (353 citations). Sara Larivière has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Boris C. Bernhardt, Reinder Vos de Wael, Casey Paquola, Seok‐Jun Hong, Jonathan Smallwood, Jessica Royer, Daniel S. Margulies, Sofie L. Valk, Andrea Bernasconi and Shahin Tavakol. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.