David R. T. Keeble

623 total citations
31 papers, 485 citations indexed

About

David R. T. Keeble is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, David R. T. Keeble has authored 31 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 18 papers in Atomic and Molecular Physics, and Optics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in David R. T. Keeble's work include Visual perception and processing mechanisms (19 papers), Color Science and Applications (13 papers) and Face Recognition and Perception (8 papers). David R. T. Keeble is often cited by papers focused on Visual perception and processing mechanisms (19 papers), Color Science and Applications (13 papers) and Face Recognition and Perception (8 papers). David R. T. Keeble collaborates with scholars based in United Kingdom, Canada and Malaysia. David R. T. Keeble's co-authors include Frederick A. A. Kingdom, K. E. Banyard, Bernard Moulden, Robert F. Hess, Ian D. Stephen, Eleanor Bryant, Umar Toseeb, G. W. F. Drake, Alejandro J. Estudillo and Frans A.J. Verstraten and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuropsychologia.

In The Last Decade

David R. T. Keeble

29 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R. T. Keeble United Kingdom 15 385 180 113 101 53 31 485
Howard Steven Friedman United States 6 622 1.6× 78 0.4× 159 1.4× 38 0.4× 75 1.4× 10 711
Julian S. Joseph United States 9 401 1.0× 46 0.3× 69 0.6× 78 0.8× 56 1.1× 10 518
Elena Gheorghiu Canada 15 487 1.3× 120 0.7× 50 0.4× 90 0.9× 149 2.8× 58 572
William Beaudot Canada 11 367 1.0× 114 0.6× 62 0.5× 52 0.5× 99 1.9× 21 402
Jeounghoon Kim South Korea 11 548 1.4× 49 0.3× 102 0.9× 75 0.7× 48 0.9× 22 582
Shigeko Takahashi Japan 11 328 0.9× 153 0.8× 33 0.3× 63 0.6× 159 3.0× 32 387
Susan Petry United States 8 332 0.9× 113 0.6× 60 0.5× 69 0.7× 101 1.9× 12 378
Eriko Miyahara United States 10 450 1.2× 247 1.4× 55 0.5× 130 1.3× 251 4.7× 17 569
M. V. Danilova Russia 11 326 0.8× 102 0.6× 36 0.3× 72 0.7× 136 2.6× 38 415
A. Vassilev Bulgaria 12 330 0.9× 84 0.5× 26 0.2× 50 0.5× 15 0.3× 28 429

Countries citing papers authored by David R. T. Keeble

Since Specialization
Citations

This map shows the geographic impact of David R. T. Keeble'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 R. T. Keeble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. T. Keeble more than expected).

Fields of papers citing papers by David R. T. Keeble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. T. Keeble. 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 R. T. Keeble. The network helps show where David R. T. Keeble may publish in the future.

Co-authorship network of co-authors of David R. T. Keeble

This figure shows the co-authorship network connecting the top 25 collaborators of David R. T. Keeble. A scholar is included among the top collaborators of David R. T. Keeble 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 David R. T. Keeble. David R. T. Keeble 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.
Keeble, David R. T., et al.. (2023). A new Asian version of the CFMT: The Cambridge Face Memory Test – Chinese Malaysian (CFMT-MY). Behavior Research Methods. 56(3). 1192–1206. 5 indexed citations
2.
3.
Estudillo, Alejandro J., et al.. (2021). The other-race effect and holistic processing across racial groups. Scientific Reports. 11(1). 8507–8507. 25 indexed citations
4.
Stephen, Ian D., et al.. (2020). The Own-Race Bias for Face Recognition in a Multiracial Society. Frontiers in Psychology. 11. 208–208. 32 indexed citations
5.
Toseeb, Umar, Eleanor Bryant, & David R. T. Keeble. (2014). The Muslim Headscarf and Face Perception: “They All Look the Same, Don't They?”. PLoS ONE. 9(2). e84754–e84754. 17 indexed citations
6.
Toseeb, Umar, David R. T. Keeble, & Eleanor Bryant. (2012). The Significance of Hair for Face Recognition. PLoS ONE. 7(3). e34144–e34144. 36 indexed citations
7.
Harrison, Sarah & David R. T. Keeble. (2008). Within-texture collinearity improves human texture segmentation. Vision Research. 48(19). 1955–1964. 10 indexed citations
8.
Hawley, Sarah & David R. T. Keeble. (2006). Tilt aftereffect for texture edges is larger than in matched subjective edges, but both are strong adaptors of luminance edges. Journal of Vision. 6(1). 4–4. 10 indexed citations
9.
Whitaker, David, et al.. (2003). Pulling the other one: 1st- and 2nd-order visual information interact to determine perceived location. Vision Research. 44(3). 279–286. 9 indexed citations
10.
Castet, Éric, David R. T. Keeble, & Frans A.J. Verstraten. (2002). Nulling the motion aftereffect with dynamic random-dot stimuli: Limitations and implications. Journal of Vision. 2(4). 3–3. 22 indexed citations
11.
Keeble, David R. T. & Shin’ya Nishida. (2001). Micropattern orientation and spatial localization. Vision Research. 41(27). 3719–3733. 4 indexed citations
12.
Kingdom, Frederick A. A. & David R. T. Keeble. (2000). Luminance spatial frequency differences facilitate the segmentation of superimposed textures. Vision Research. 40(9). 1077–1087. 17 indexed citations
13.
Hess, Robert F., et al.. (1999). The orientation discrimination deficit in strabismic amblyopia depends upon stimulus bandwidth. Vision Research. 39(24). 4018–4031. 20 indexed citations
14.
Keeble, David R. T., F. A. A. Kingdom, & Michael J. Morgan. (1997). The orientational resolution of human texture perception. Vision Research. 37(21). 2993–3007. 8 indexed citations
15.
Keeble, David R. T. & K. E. Banyard. (1997). Momentum space: effects of correlation in the doubly excited state of He-like ions. Journal of Physics B Atomic Molecular and Optical Physics. 30(1). 13–32. 14 indexed citations
16.
Kingdom, Frederick A. A. & David R. T. Keeble. (1996). A linear systems approach to the detection of both abrupt and smooth spatial variations in orientation-defined textures. Vision Research. 36(3). 409–420. 30 indexed citations
17.
Kingdom, Frederick A. A., David R. T. Keeble, & Bernard Moulden. (1995). Sensitivity to orientation modulation in micropattern-based textures. Vision Research. 35(1). 79–91. 65 indexed citations
18.
Keeble, David R. T., F. A. A. Kingdom, Bernard Moulden, & Michael J. Morgan. (1995). Detection of orientationally multimodal textures. Vision Research. 35(14). 1991–2005. 18 indexed citations
19.
Banyard, K. E. & David R. T. Keeble. (1994). Natural expansions of CI wavefunctions and analysis of Coulomb correlations for He(2p23P)-like ions. Journal of Physics B Atomic Molecular and Optical Physics. 27(22). 5453–5466. 6 indexed citations
20.
Banyard, K. E., David R. T. Keeble, & G. W. F. Drake. (1992). The doubly-excited state 2p23P for 1<or=Z<or=4: Coulomb holes derived from explicitly correlated wavefunctions. Journal of Physics B Atomic Molecular and Optical Physics. 25(16). 3405–3418. 23 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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