Daniel D. Dilks
Impact in
- Cognitive Neuroscience top 1%
- Face Recognition and Perception
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
- Sensory Systems top 2%
Papers in
-
- Face Recognition and Perception 31
- Visual perception and processing mechanisms 30
- Neural dynamics and brain function 16
- Memory and Neural Mechanisms 15
-
- Olfactory and Sensory Function Studies 5
- Co-authors
- Nancy KanwisherJoshua B. JulianRebecca SaxeAndrew S. PersichettiFrederik S. KampsChristina TriantafyllouDavid PitcherEli Peli
- Journals
- Journal of Vision (9 papers)Journal of Neuroscience (8 papers)NeuroImage (7 papers)Cerebral Cortex (5 papers)Cortex (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel D. Dilks
62 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 2.0k
- Sensory Systems 155
- Experimental and Cognitive Psychology 396
- Computer Vision and Pattern Recognition 439
- Ophthalmology 152
Countries citing papers authored by Daniel D. Dilks
This map shows the geographic impact of Daniel D. Dilks'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 Daniel D. Dilks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Dilks more than expected).
Fields of papers citing papers by Daniel D. Dilks
This network shows the impact of papers produced by Daniel D. Dilks. 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 Daniel D. Dilks. The network helps show where Daniel D. Dilks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel D. Dilks, 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 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 35 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 41 | |
| 9 | Organization of high-level visual cortex in human infants | 2017 | 2 |
| 10 | 2016 | 86 | |
| 11 | 2016 | 50 | |
| 12 | Reorganization of Visual Processing in Age-Related Macular Degeneration Depends on Foveal Loss | 2014 | 1 |
| 13 | 2014 | 43 | |
| 14 | 2012 | 162 | |
| 15 | 2011 | 1 | |
| 16 | 2011 | 0 | |
| 17 | 2011 | 9 | |
| 18 | 2009 | 97 | |
| 19 | 2007 | 18 | |
| 20 | 2000 | 36 |
About Daniel D. Dilks
Daniel D. Dilks is a scholar working on Cognitive Neuroscience, Sensory Systems, Developmental Neuroscience, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Face Recognition and Perception (31 papers), Visual perception and processing mechanisms (30 papers), Neural dynamics and brain function (16 papers), Memory and Neural Mechanisms (15 papers), Visual Attention and Saliency Detection (9 papers), Spatial Cognition and Navigation (5 papers), Retinal Development and Disorders (5 papers) and Olfactory and Sensory Function Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Sensory Systems (155 citations), Experimental and Cognitive Psychology (396 citations), Computer Vision and Pattern Recognition (439 citations) and Ophthalmology (152 citations). Daniel D. Dilks has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Nancy Kanwisher, Joshua B. Julian, Rebecca Saxe, Andrew S. Persichetti, Frederik S. Kamps, Christina Triantafyllou, David Pitcher, Eli Peli, Alexander Paunov and Chris I. Baker. Their work appears in journals such as Journal of Vision, Journal of Neuroscience, NeuroImage, Cerebral Cortex 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.