Tobe Freeman
Impact in
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Face Recognition and Perception
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
Papers in
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- Visual perception and processing mechanisms 7
- Neural dynamics and brain function 1
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- Axon Guidance and Neuronal Signaling 2
- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Frank Sengpiel (4 shared papers)Roland J. Baddeley (2 shared papers)Matteo Carandini (2 shared papers)Edmund T. Rolls (1 shared paper)L. F. Abbott (1 shared paper)Séverine Durand (1 shared paper)Daniel Kiper (1 shared paper)Colin B. Blakemore (3 shared papers)
- Journals
- Neuroreport (2 papers)Vision Research (1 paper)The Journal of Comparative Neurology (1 paper)Visual Neuroscience (1 paper)Neuron (1 paper)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Tobe Freeman
11 papers receiving 751 citations
Peers
Comparison fields: 5 of 55
- Cognitive Neuroscience 647
- Cellular and Molecular Neuroscience 77
- Developmental Neuroscience 10
- Sensory Systems 11
- Artificial Intelligence 50
Countries citing papers authored by Tobe Freeman
This map shows the geographic impact of Tobe Freeman'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 Tobe Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobe Freeman more than expected).
Fields of papers citing papers by Tobe Freeman
This network shows the impact of papers produced by Tobe Freeman. 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 Tobe Freeman. The network helps show where Tobe Freeman may publish in the future.
Co-authors
The 24 scholars most cited alongside Tobe Freeman, 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 | 1997 | 350 | |
| 2 | 2002 | 177 | |
| 3 | 1998 | 127 | |
| 4 | 2007 | 34 | |
| 5 | 1995 | 28 | |
| 6 | 1993 | 23 | |
| 7 | 1997 | 12 | |
| 8 | 2001 | 7 | |
| 9 | 2005 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2016 | 2 |
About Tobe Freeman
Tobe Freeman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biophysics, Health and Computational Theory and Mathematics, having authored 11 papers that have together received 774 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (7 papers), Axon Guidance and Neuronal Signaling (2 papers), Neuroscience and Neuropharmacology Research (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper), Computational Drug Discovery Methods (1 paper), Cell Image Analysis Techniques (1 paper), Neural dynamics and brain function (1 paper) and Social Media in Health Education (1 paper). The work is most often cited by research in Cognitive Neuroscience (647 citations), Cellular and Molecular Neuroscience (77 citations), Developmental Neuroscience (10 citations), Sensory Systems (11 citations) and Artificial Intelligence (50 citations). Tobe Freeman has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Frank Sengpiel, Roland J. Baddeley, Matteo Carandini, Edmund T. Rolls, L. F. Abbott, Séverine Durand, Daniel Kiper, Colin B. Blakemore, Richard A. Harrad and Richard F. Mark. Their work appears in journals such as Neuroreport, Vision Research, The Journal of Comparative Neurology, Visual Neuroscience and Neuron.
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.