D. E. Carden

2.0k total citations
50 papers, 1.6k citations indexed

About

D. E. Carden is a scholar working on Cognitive Neuroscience, Ophthalmology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, D. E. Carden has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 11 papers in Ophthalmology and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in D. E. Carden's work include Visual perception and processing mechanisms (17 papers), Retinal Diseases and Treatments (11 papers) and Color Science and Applications (9 papers). D. E. Carden is often cited by papers focused on Visual perception and processing mechanisms (17 papers), Retinal Diseases and Treatments (11 papers) and Color Science and Applications (9 papers). D. E. Carden collaborates with scholars based in United Kingdom, United States and Netherlands. D. E. Carden's co-authors include P. Ewen King‐Smith, J. J. Kulikowski, Ian J. Murray, Tony Miller, S.R. Butler, David J. Walker, T. J. Flowers, Vincent Walsh, Neil R. A. Parry and Rob L. P. van der Veen and has published in prestigious journals such as Nature, The Journal of Physiology and PLANT PHYSIOLOGY.

In The Last Decade

D. E. Carden

44 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. E. Carden United Kingdom 18 814 346 333 284 281 50 1.6k
Kenneth Fuld United States 17 375 0.5× 279 0.8× 434 1.3× 147 0.5× 7 0.0× 31 989
Annette E. Allen United Kingdom 22 461 0.6× 828 2.4× 94 0.3× 47 0.2× 48 0.2× 48 1.9k
T.D. Lamb United Kingdom 14 276 0.3× 1.3k 3.8× 329 1.0× 32 0.1× 20 0.1× 19 1.7k
Balázs Vince Nagy Brazil 14 181 0.2× 224 0.6× 198 0.6× 49 0.2× 12 0.0× 66 639
Carl J. Bassi United States 16 251 0.3× 345 1.0× 510 1.5× 17 0.1× 8 0.0× 35 1.1k
Yifeng Zhou China 15 768 0.9× 238 0.7× 220 0.7× 45 0.2× 7 0.0× 36 1.0k
Franck P. Martial United Kingdom 16 234 0.3× 308 0.9× 28 0.1× 32 0.1× 27 0.1× 35 913
Robert J. Schafer United States 15 687 0.8× 214 0.6× 20 0.1× 35 0.1× 87 0.3× 32 1.1k
P.L. Marchiafava Italy 22 567 0.7× 606 1.8× 66 0.2× 6 0.0× 17 0.1× 44 1.3k
Hyung‐Cheul Shin South Korea 18 291 0.4× 115 0.3× 41 0.1× 9 0.0× 21 0.1× 61 914

Countries citing papers authored by D. E. Carden

Since Specialization
Citations

This map shows the geographic impact of D. E. Carden'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 D. E. Carden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. E. Carden more than expected).

Fields of papers citing papers by D. E. Carden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. E. Carden. 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 D. E. Carden. The network helps show where D. E. Carden may publish in the future.

Co-authorship network of co-authors of D. E. Carden

This figure shows the co-authorship network connecting the top 25 collaborators of D. E. Carden. A scholar is included among the top collaborators of D. E. Carden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. E. Carden. D. E. Carden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kelly, Jeremiah, et al.. (2016). Functional and structural progression in early AMD; dark adaptation best predicts morphology. Investigative Ophthalmology & Visual Science. 57(12). 2661–2661. 1 indexed citations
2.
Murray, Ian J., D. E. Carden, & Jeremiah Kelly. (2016). New rapid digital dark adaptometer that shows high sensitivity and specificity for early AMD. Investigative Ophthalmology & Visual Science. 57(12). 3705–3705. 2 indexed citations
3.
Parry, Neil R. A., et al.. (2015). Novel dual arc stimulus aids sensitive detection of early AMD. Investigative Ophthalmology & Visual Science. 56(7). 2617–2617. 2 indexed citations
4.
Murray, Ian J., et al.. (2013). Sensitivity recovery following a bleach; a dual “smiley” arc stimulus technique for studying abnormal dark adaptation. Investigative Ophthalmology & Visual Science. 54(15). 2767–2767. 1 indexed citations
5.
Carden, D. E., et al.. (2009). Macular pigment measurement in clinics: controlling the effect of the ageing media. Ophthalmic and Physiological Optics. 29(3). 338–344. 21 indexed citations
6.
Veen, Rob L. P. van der, et al.. (2009). A new desktop instrument for measuring macular pigment optical density based on a novel technique for setting flicker thresholds. Ophthalmic and Physiological Optics. 29(2). 127–137. 78 indexed citations
7.
Veen, Rob L. P. van der, et al.. (2009). Correspondence between retinal reflectometry and a flicker-based technique in the measurement of macular pigment spatial profiles. Journal of Biomedical Optics. 14(6). 64046–64046. 31 indexed citations
8.
Plainis, Sotiris, Ian Murray, & D. E. Carden. (2006). The dazzle reflex: electrophysiological signals from ocular muscles reveal strong binocular summation effects. Ophthalmic and Physiological Optics. 26(3). 318–325. 14 indexed citations
9.
Carden, D. E., et al.. (2002). DYNAMIC DISCOMFORT GLARE AND DRIVER FATIGUE. 67(4). 3 indexed citations
10.
Carden, D. E. & Hubert Felle. (2002). The mode of action of cell wall-degrading enzymes and their interference with Nod factor signalling in Medicago sativa root hairs. Planta. 216(6). 993–1002. 16 indexed citations
11.
Dickinson, Christine, et al.. (1997). John Dalton's colour vision legacy : selected proceedings of the international conference. Taylor & Francis eBooks. 4 indexed citations
12.
Kulikowski, J. J., Vincent Walsh, Declan J. McKeefry, S.R. Butler, & D. E. Carden. (1994). The electrophysiological basis of colour processing in macaques with V4 lesions. Behavioural Brain Research. 60(1). 73–78. 15 indexed citations
13.
Walsh, Vincent, D. E. Carden, S.R. Butler, & J. J. Kulikowski. (1993). The effects of V4 lesions on the visual abilities of macaques: hue discrimination and colour constancy. Behavioural Brain Research. 53(1-2). 51–62. 76 indexed citations
14.
Walsh, Vincent, S.R. Butler, D. E. Carden, & J. J. Kulikowski. (1992). The effects of V4 lesions on the visual abilities of macaques: shape discrimination. Behavioural Brain Research. 50(1-2). 115–126. 42 indexed citations
15.
Carden, D. E., et al.. (1990). Visual-Discrimination Deficits in Monkeys with V4 Lesions. Perception. 19(3). 1 indexed citations
16.
Butler, S.R., et al.. (1988). Deficit in Color Constancy Following V4 Ablations in Rhesus- Monkeys. The Journal of Physiology. 403. 1 indexed citations
17.
Murray, Ian J., Neil R. A. Parry, D. E. Carden, & J. J. Kulikowski. (1987). Human Visual Evoked-Potentials to Chromatic and Achromatic Gratings. Research Explorer (The University of Manchester). 1(3). 231–244. 98 indexed citations
18.
Carden, D. E., et al.. (1985). Human Occipital Potentials-Evoked by the Onset of Equiluminant Chromatic Gratings. The Journal of Physiology. 369. 19 indexed citations
19.
Carden, D. E., et al.. (1985). Color Discrimination by Isolated Opponent-Color Channels. Perception. 14(1). 73–73. 1 indexed citations
20.
Carden, D. E., et al.. (1977). Direct Readout of Spectral Sensitivity for Clinical and Research Purposes. Optometry and Vision Science. 54(1). 52–55. 6 indexed citations

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.

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