Matthew D. Sacchet
- Biological Psychiatry top 2%
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 35
- Neural and Behavioral Psychology Studies 6
- Neural dynamics and brain function 5
- Behavioral Neuroscience top 5%
-
- Mental Health Research Topics 11
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 10
- Psychiatry and Mental health top 5%
-
- Advanced Neuroimaging Techniques and Applications 12
- Advanced MRI Techniques and Applications 11
-
- Mindfulness and Compassion Interventions 7
- Co-authors
- Ian H. GotlibJ. Paul HamiltonLara C. Foland‐RossTiffany C. HoBrian KnutsonColm G. ConnollyTony T. YangJamil Zaki
- Journals
- SHILAP Revista de lepidopterología (1 paper)NeuroImage (2 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Matthew D. Sacchet
58 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 119
- Biological Psychiatry 170
- Cognitive Neuroscience 1.2k
- Behavioral Neuroscience 169
- Experimental and Cognitive Psychology 569
- Psychiatry and Mental health 300
Countries citing papers authored by Matthew D. Sacchet
This map shows the geographic impact of Matthew D. Sacchet'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 Matthew D. Sacchet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Sacchet more than expected).
Fields of papers citing papers by Matthew D. Sacchet
This network shows the impact of papers produced by Matthew D. Sacchet. 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 Matthew D. Sacchet. The network helps show where Matthew D. Sacchet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew D. Sacchet, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 10 | |
| 13 | 2017 | 49 | |
| 14 | 2017 | 36 | |
| 15 | 2016 | 39 | |
| 16 | 2016 | 67 | |
| 17 | 2015 | 62 | |
| 18 | 2015 | 29 | |
| 19 | 2014 | 141 | |
| 20 | 2013 | 17 |
About Matthew D. Sacchet
Matthew D. Sacchet is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Biological Psychiatry, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (35 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Mental Health Research Topics (11 papers), Advanced MRI Techniques and Applications (11 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers), Mindfulness and Compassion Interventions (7 papers), Neural and Behavioral Psychology Studies (6 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Biological Psychiatry (170 citations), Cognitive Neuroscience (1.2k citations) and Behavioral Neuroscience (169 citations). Matthew D. Sacchet has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Ian H. Gotlib, J. Paul Hamilton, Lara C. Foland‐Ross, Tiffany C. Ho, Brian Knutson, Colm G. Connolly, Tony T. Yang, Jamil Zaki, Sylvia A. Morelli and Chris H. Miller. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.
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.