Hillary Schwarb
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms 10
- Neural and Behavioral Psychology Studies 10
- Functional Brain Connectivity Studies 8
- Motor Control and Adaptation 6
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- Ultrasound Imaging and Elastography 11
- Advanced MRI Techniques and Applications 9
- Advanced Neuroimaging Techniques and Applications 7
- General Decision Sciences top 10%
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- Elasticity and Material Modeling 9
- Co-authors
- Eric H. SchumacherCurtis L. JohnsonNeal J. CohenMatthew McGarryMatthew MagnusonShella KeilholzLucy V. HiscoxLawrence W. Barsalou
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Hillary Schwarb
38 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 1.0k
- Radiology, Nuclear Medicine and Imaging 632
- General Decision Sciences 41
- Experimental and Cognitive Psychology 190
- Developmental and Educational Psychology 169
Countries citing papers authored by Hillary Schwarb
This map shows the geographic impact of Hillary Schwarb'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 Hillary Schwarb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hillary Schwarb more than expected).
Fields of papers citing papers by Hillary Schwarb
This network shows the impact of papers produced by Hillary Schwarb. 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 Hillary Schwarb. The network helps show where Hillary Schwarb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hillary Schwarb, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 67 | |
| 7 | 2020 | 59 | |
| 8 | 2020 | 39 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 17 | |
| 11 | 2018 | 43 | |
| 12 | 2017 | 87 | |
| 13 | 2016 | 80 | |
| 14 | 2015 | 5 | |
| 15 | 2015 | 41 | |
| 16 | 2011 | 97 | |
| 17 | 2011 | 19 | |
| 18 | 2010 | 232 | |
| 19 | 2009 | 62 | |
| 20 | 2006 | 51 |
About Hillary Schwarb
Hillary Schwarb is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine, Experimental and Cognitive Psychology and Neurology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (11 papers), Memory and Neural Mechanisms (10 papers), Neural and Behavioral Psychology Studies (10 papers), Advanced MRI Techniques and Applications (9 papers), Elasticity and Material Modeling (9 papers), Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Motor Control and Adaptation (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Radiology, Nuclear Medicine and Imaging (632 citations), General Decision Sciences (41 citations), Experimental and Cognitive Psychology (190 citations) and Developmental and Educational Psychology (169 citations). Hillary Schwarb has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Eric H. Schumacher, Curtis L. Johnson, Neal J. Cohen, Matthew McGarry, Matthew Magnuson, Shella Keilholz, Lucy V. Hiscox, Lawrence W. Barsalou, Waqas Majeed and Wendy Hasenkamp. Their work appears in journals such as NeuroImage, Human Brain Mapping, Brain Imaging and Behavior, Psychological Research and Brain Research.
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.