David Slater

1.4k total citations
51 papers, 984 citations indexed

About

David Slater is a scholar working on Atomic and Molecular Physics, and Optics, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Slater has authored 51 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atomic and Molecular Physics, and Optics, 18 papers in Media Technology and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Slater's work include Remote-Sensing Image Classification (18 papers), Color Science and Applications (16 papers) and Image Retrieval and Classification Techniques (8 papers). David Slater is often cited by papers focused on Remote-Sensing Image Classification (18 papers), Color Science and Applications (16 papers) and Image Retrieval and Classification Techniques (8 papers). David Slater collaborates with scholars based in United States, United Kingdom and Switzerland. David Slater's co-authors include Glenn Healey, Richard M. Osgood, Marco Catani, Flavio Dell’Acqua, Bogdan Draganski, Lester Melie‐García, Martin Preisig, Antoine Lutti, Ferath Kherif and P. Hollins and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

David Slater

48 papers receiving 924 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 Slater United States 17 320 310 269 165 149 51 984
Peter Yuen United Kingdom 17 177 0.6× 362 1.2× 213 0.8× 98 0.6× 17 0.1× 70 1.1k
Changjun Li China 18 615 1.9× 163 0.5× 1.1k 4.2× 35 0.2× 423 2.8× 129 1.6k
Joaquín Campos Acosta Spain 16 95 0.3× 40 0.1× 288 1.1× 59 0.4× 24 0.2× 116 863
Yoshi Ohno United States 15 141 0.4× 22 0.1× 556 2.1× 43 0.3× 172 1.2× 52 1.3k
Mats Andersson Sweden 19 190 0.6× 13 0.0× 109 0.4× 247 1.5× 181 1.2× 92 996
F. J. J. Clarke United Kingdom 17 97 0.3× 32 0.1× 314 1.2× 30 0.2× 317 2.1× 42 1.0k
Timothy Holmes United States 17 192 0.6× 119 0.4× 164 0.6× 256 1.6× 68 0.5× 48 995
Tohru Takahashi Japan 17 177 0.6× 29 0.1× 125 0.5× 48 0.3× 54 0.4× 79 949
Zehao He China 19 241 0.8× 567 1.8× 464 1.7× 39 0.2× 81 0.5× 47 937
Hao Xie China 14 83 0.3× 118 0.4× 201 0.7× 73 0.4× 75 0.5× 52 1.1k

Countries citing papers authored by David Slater

Since Specialization
Citations

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

Fields of papers citing papers by David Slater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Slater

This figure shows the co-authorship network connecting the top 25 collaborators of David Slater. A scholar is included among the top collaborators of David Slater 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 Slater. David Slater 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.
Slater, David, Lester Melie‐García, Martin Preisig, et al.. (2019). Evolution of white matter tract microstructure across the life span. Human Brain Mapping. 40(7). 2252–2268. 85 indexed citations
2.
Slater, David, et al.. (2019). Robust keystroke transcription from the acoustic side-channel. 776–787. 3 indexed citations
3.
Adaszewski, Stanisław, David Slater, Lester Melie‐García, Bogdan Draganski, & Piotr Bogorodzki. (2018). Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling. NeuroImage. 172. 175–193. 7 indexed citations
4.
Vasques, Xavier, Sean Hill, David Slater, et al.. (2015). Automatic target validation based on neuroscientific literature mining for tractography. Frontiers in Neuroanatomy. 9. 66–66. 9 indexed citations
5.
Catani, Marco, Michel Thiebaut de Schotten, David Slater, & Flavio Dell’Acqua. (2013). Connectomic approaches before the connectome. NeuroImage. 80. 2–13. 54 indexed citations
6.
Healey, Glenn & David Slater. (2003). Invariant recognition in hyperspectral images. 438–443. 16 indexed citations
7.
Pan, Zhihong, Glenn Healey, & David Slater. (2003). Global spectral irradiance variability and material discrimination at Boulder, Colorado. Journal of the Optical Society of America A. 20(3). 513–513. 4 indexed citations
8.
Slater, David & Glenn Healey. (2002). What is the spectral dimensionality of illumination functions in outdoor scenes?. 105–110. 18 indexed citations
9.
Slater, David & Glenn Healey. (2001). Model acquisition and invariant tracking of unknown materials in hyperspectral images. Journal of the Optical Society of America A. 18(8). 1954–1954. 2 indexed citations
10.
Luo, Yuan, Ming Han, David Slater, & Richard M. Osgood. (2000). Studies of heteroepitaxial growth of thin II–VI semiconductor layers by sequential ultrahigh vacuum dosing. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 18(2). 438–449. 14 indexed citations
11.
Slater, David & Glenn Healey. (1999). <title>Material mapping for 3D objects in hyperspectral images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3717. 114–124. 1 indexed citations
12.
Slater, David & Glenn Healey. (1998). Modeling the sensitivity of moment invariants in a recognition system. Journal of the Optical Society of America A. 15(5). 1068–1068. 1 indexed citations
13.
Luo, Yuan, et al.. (1998). In Situ Investigation of the Surface Chemistry of Atomic-Layer Epitaxial Growth of II−VI Semiconductor Thin Films. Langmuir. 14(6). 1493–1499. 17 indexed citations
14.
Healey, Glenn & David Slater. (1997). Computing illumination-invariant descriptors of spatially filtered color image regions. IEEE Transactions on Image Processing. 6(7). 1002–1013. 28 indexed citations
15.
Slater, David, et al.. (1997). Energy- and Angle-Resolved Fragmentation of Ethyl Bromide on GaAs(110). The Journal of Physical Chemistry B. 101(44). 9077–9086. 13 indexed citations
16.
Slater, David & Glenn Healey. (1997). The illumination-invariant matching of deterministic local structure in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 19(10). 1146–1151. 13 indexed citations
17.
Slater, David & Glenn Healey. (1996). Using a spectral reflectance model for the illumination-invariant recognition of local image structure. 1. 770–775. 7 indexed citations
18.
Lu, P. H., et al.. (1996). The adsorption and thermal reaction of dimethylcadmium, dimethylzinc and trimethylgallium on GaAs(110). Surface Science. 364(3). 312–324. 11 indexed citations
19.
Slater, David, Yuan Luo, & Richard M. Osgood. (1996). Chemical preparation of ordered CdTe(110) and (100) surfaces using atomic hydrogen. Journal of Crystal Growth. 159(1-4). 754–760. 4 indexed citations
20.
Slater, David, P. Hollins, & M.A. Chesters. (1994). The adsorption of ethene on clean and chlorine-precovered Ag(100). Surface Science. 306(1-2). 155–158. 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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