David T. Field
Impact in
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Motor Control and Adaptation
- Face Recognition and Perception
- Social Psychology top 5%
- Action Observation and Synchronization
Papers in
-
- Visual perception and processing mechanisms 14
- Neural dynamics and brain function 10
- Neural and Behavioral Psychology Studies 5
- Motor Control and Adaptation 2
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- Olfactory and Sensory Function Studies 3
- Co-authors
- John P. WannLaurie T. ButlerClaire WilliamsRichard M. WilkieDavid RoseSarah E. HampsonMark F BradshawCarien M. van Reekum
- Journals
- Journal of Vision (5 papers)Perception (5 papers)Journal of Neuroscience (2 papers)Psychopharmacology (2 papers)Cortex (1 paper)
- Partner nations
- United KingdomNetherlandsAustralia
In The Last Decade
David T. Field
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Cognitive Neuroscience 513
- Social Psychology 256
- Biochemistry 73
- Neurology 88
- Sensory Systems 47
Countries citing papers authored by David T. Field
This map shows the geographic impact of David T. Field'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 David T. Field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Field more than expected).
Fields of papers citing papers by David T. Field
This network shows the impact of papers produced by David T. Field. 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 David T. Field. The network helps show where David T. Field may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David T. Field, 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 | 2024 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 11 | |
| 4 | 2019 | 3 | |
| 5 | 2019 | 6 | |
| 6 | 2019 | 0 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 24 | |
| 9 | 2018 | 25 | |
| 10 | 2015 | 94 | |
| 11 | 2015 | 17 | |
| 12 | 2011 | 153 | |
| 13 | 2010 | 36 | |
| 14 | 2008 | 1 | |
| 15 | 2007 | 53 | |
| 16 | 2007 | 52 | |
| 17 | 2005 | 97 | |
| 18 | 2005 | 179 | |
| 19 | 2004 | 16 | |
| 20 | 2003 | 1 |
About David T. Field
David T. Field is a scholar working on Cognitive Neuroscience, Sensory Systems, Neurology, Human-Computer Interaction and Social Psychology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (14 papers), Neural dynamics and brain function (10 papers), Neural and Behavioral Psychology Studies (5 papers), Vestibular and auditory disorders (4 papers), Olfactory and Sensory Function Studies (3 papers), Motor Control and Adaptation (2 papers), Action Observation and Synchronization (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (513 citations), Social Psychology (256 citations), Biochemistry (73 citations), Neurology (88 citations) and Sensory Systems (47 citations). David T. Field has collaborated with scholars based in United Kingdom, Netherlands and Australia. Frequent co-authors include John P. Wann, Laurie T. Butler, Claire Williams, Richard M. Wilkie, David Rose, Sarah E. Hampson, Mark F Bradshaw, Carien M. van Reekum, Jac Billington and John A. Groeger. Their work appears in journals such as Journal of Vision, Perception, Journal of Neuroscience, Psychopharmacology and Cortex.
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.