Chad Giusti
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- Topological and Geometric Data Analysis
Papers in
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- Topological and Geometric Data Analysis 11
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- Homotopy and Cohomology in Algebraic Topology 6
- Co-authors
- Danielle S. Bassett (6 shared papers)Robert Ghrist (2 shared papers)Vladimir Itskov (4 shared papers)Carina Curto (2 shared papers)Eva Pastalkova (2 shared papers)Kelvin O. Lim (1 shared paper)Qawi K. Telesford (1 shared paper)Ann E. Sizemore (1 shared paper)
- Journals
- BMC Neuroscience (1 paper)Nature Human Behaviour (1 paper)Neural Computation (1 paper)Journal of Topology (1 paper)Journal of Computational Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomSlovakia
In The Last Decade
Chad Giusti
16 papers receiving 733 citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 311
- Computational Theory and Mathematics 270
- Statistical and Nonlinear Physics 175
- Biophysics 52
- Computational Mathematics 3
Countries citing papers authored by Chad Giusti
This map shows the geographic impact of Chad Giusti'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 Chad Giusti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Giusti more than expected).
Fields of papers citing papers by Chad Giusti
This network shows the impact of papers produced by Chad Giusti. 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 Chad Giusti. The network helps show where Chad Giusti may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Giusti, 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 | 2016 | 271 | |
| 2 | 2015 | 211 | |
| 3 | 2016 | 100 | |
| 4 | 2018 | 54 | |
| 5 | 2016 | 36 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 13 | |
| 8 | 2014 | 13 | |
| 9 | 2021 | 9 | |
| 10 | 2012 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2012 | 4 | |
| 13 | 2023 | 4 | |
| 14 | Structural drivers of diverse neural dynamics and their evolution across development | 2016 | 3 |
| 15 | 2020 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2013 | 1 |
About Chad Giusti
Chad Giusti is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 756 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (11 papers), Homotopy and Cohomology in Algebraic Topology (6 papers), Neural dynamics and brain function (4 papers), Alzheimer's disease research and treatments (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Memory and Neural Mechanisms (2 papers), Functional Brain Connectivity Studies (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (311 citations), Computational Theory and Mathematics (270 citations), Statistical and Nonlinear Physics (175 citations), Biophysics (52 citations) and Computational Mathematics (3 citations). Chad Giusti has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Danielle S. Bassett, Robert Ghrist, Vladimir Itskov, Carina Curto, Eva Pastalkova, Kelvin O. Lim, Qawi K. Telesford, Ann E. Sizemore, Elisabeth A. Karuza and Karen E. Daniels. Their work appears in journals such as BMC Neuroscience, Nature Human Behaviour, Neural Computation, Journal of Topology and Journal of Computational 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.