Eric Maltbie
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
-
- Functional Brain Connectivity Studies 16
- Neural dynamics and brain function 7
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- Advanced MRI Techniques and Applications 9
- Advanced Neuroimaging Techniques and Applications 5
- Co-authors
- Martin StynerLeonard L. HowellGuido GerigJohn H. GilmoreKaundinya GopinathSylvain GouttardShella KeilholzHui Zhang
- Journals
- Psychopharmacology (5 papers)NeuroImage (4 papers)Frontiers in Neuroscience (3 papers)Cerebral Cortex (1 paper)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Eric Maltbie
20 papers receiving 463 citations
Peers
Comparison fields: 5 of 79
- Computational Mathematics 8
- Cognitive Neuroscience 237
- Radiology, Nuclear Medicine and Imaging 206
- Biological Psychiatry 22
- Cellular and Molecular Neuroscience 82
Countries citing papers authored by Eric Maltbie
This map shows the geographic impact of Eric Maltbie'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 Eric Maltbie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Maltbie more than expected).
Fields of papers citing papers by Eric Maltbie
This network shows the impact of papers produced by Eric Maltbie. 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 Eric Maltbie. The network helps show where Eric Maltbie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Maltbie, 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 | 2023 | 4 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 48 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 9 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 5 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 14 | |
| 13 | 2015 | 14 | |
| 14 | 2014 | 19 | |
| 15 | 2013 | 3 | |
| 16 | 2013 | 38 | |
| 17 | 2012 | 20 | |
| 18 | 2012 | 83 | |
| 19 | 2011 | 39 | |
| 20 | 2011 | 94 |
About Eric Maltbie
Eric Maltbie is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Biological Psychiatry, Pharmacology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 467 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Advanced MRI Techniques and Applications (9 papers), Neural dynamics and brain function (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Treatment of Major Depression (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Lysosomal Storage Disorders Research (2 papers) and Morphological variations and asymmetry (1 paper). The work is most often cited by research in Computational Mathematics (8 citations), Cognitive Neuroscience (237 citations), Radiology, Nuclear Medicine and Imaging (206 citations), Biological Psychiatry (22 citations) and Cellular and Molecular Neuroscience (82 citations). Eric Maltbie has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Martin Styner, Leonard L. Howell, Guido Gerig, John H. Gilmore, Kaundinya Gopinath, Sylvain Gouttard, Shella Keilholz, Hui Zhang, Maria L. Escolar and Pierre Fillard. Their work appears in journals such as Psychopharmacology, NeuroImage, Frontiers in Neuroscience, Cerebral Cortex and Magnetic Resonance in Medicine.
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.