Jeff MacInnes
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Papers in
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- Functional Brain Connectivity Studies 4
- Neural and Behavioral Psychology Studies 3
- Neural dynamics and brain function 2
- Co-authors
- R. Alison Adcock (4 shared papers)Ian C. Ballard (1 shared paper)Vishnu P. Murty (1 shared paper)Scott A. Huettel (1 shared paper)Ronald Carter (1 shared paper)Kathryn C. Dickerson (3 shared papers)Nan‐kuei Chen (1 shared paper)Kari M. Eddington (1 shared paper)
- Journals
- Neuron (1 paper)NeuroImage Clinical (1 paper)Journal of Neuroscience (1 paper)Frontiers in Neuroscience (1 paper)The Journal of Open Source Software (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Jeff MacInnes
5 papers receiving 299 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 216
- Experimental and Cognitive Psychology 62
- Behavioral Neuroscience 17
- Neurology 38
- Cellular and Molecular Neuroscience 62
Countries citing papers authored by Jeff MacInnes
This map shows the geographic impact of Jeff MacInnes'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 Jeff MacInnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff MacInnes more than expected).
Fields of papers citing papers by Jeff MacInnes
This network shows the impact of papers produced by Jeff MacInnes. 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 Jeff MacInnes. The network helps show where Jeff MacInnes may publish in the future.
Co-authors
The 16 scholars most cited alongside Jeff MacInnes, 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 | 2011 | 199 | |
| 2 | 2016 | 58 | |
| 3 | 2018 | 34 | |
| 4 | 2020 | 7 | |
| 5 | 2018 | 5 |
About Jeff MacInnes
Jeff MacInnes is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Control and Systems Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 303 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Neural and Behavioral Psychology Studies (3 papers), Neural dynamics and brain function (2 papers), Attention Deficit Hyperactivity Disorder (1 paper), Gaze Tracking and Assistive Technology (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Robotics and Automated Systems (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (216 citations), Experimental and Cognitive Psychology (62 citations), Behavioral Neuroscience (17 citations), Neurology (38 citations) and Cellular and Molecular Neuroscience (62 citations). Jeff MacInnes has collaborated with scholars based in United States and France. Frequent co-authors include R. Alison Adcock, Ian C. Ballard, Vishnu P. Murty, Scott A. Huettel, Ronald Carter, Kathryn C. Dickerson, Nan‐kuei Chen, Kari M. Eddington, Timothy J. Strauman and Katherine E. MacDuffie. Their work appears in journals such as Neuron, NeuroImage Clinical, Journal of Neuroscience, Frontiers in Neuroscience and The Journal of Open Source Software.
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.