David A. Slater

1.1k citations
37 papers · 842 · h-index 14

Impact in

Papers in

David A. Slater

34 papers receiving 793 citations

Peers

David A. Slater
Comparison fields: 5 of 42
  • Media Technology 185
  • Computer Vision and Pattern Recognition 162
  • Atomic and Molecular Physics, and Optics 93
  • Cognitive Neuroscience 42
  • Radiology, Nuclear Medicine and Imaging 43
Replace Yan Tu with:
Yan Tu China
Lawrence A. Ray United States
Jean‐Baptiste Thomas France
Marcel P. Lucassen Netherlands
Andrejs Vorozcovs Canada
Santiago Vallmitjana Spain
Keith S. Pennington United States
Helge Seetzen Canada
Kenichiro Masaoka Japan
Fang‐Cheng Lin Taiwan
David A. Slater relative to Yan Tu China Yan Tu's profile →
Citations per field
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Citations per year

Countries citing papers authored by David A. Slater

Since Specialization
Citations

This map shows the geographic impact of David A. 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 A. 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 A. Slater more than expected).

Fields of papers citing papers by David A. Slater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David A. Slater, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David A. Slater Line = papers co-authored together David A. Slater links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999177
2 1994142
3 199689
4 201362
5 201343
6 199733
7 199230
8 199429
9 199424
10 200222
11 199819
12 200219
13 200316
14 199215
15 199814
16 199713
17 200313
18 199612
19 19939
20 20019

About David A. Slater

David A. Slater is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Materials Chemistry, having authored 37 papers that have together received 842 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Color Science and Applications (3 papers), Surface Chemistry and Catalysis (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Porphyrin and Phthalocyanine Chemistry (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Media Technology (185 citations), Computer Vision and Pattern Recognition (162 citations), Atomic and Molecular Physics, and Optics (93 citations), Cognitive Neuroscience (42 citations) and Radiology, Nuclear Medicine and Imaging (43 citations). David A. Slater has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Glenn E. Healey, Marco Catani, Flavio Dell’Acqua, Peter Hollins, Michel Thiebaut de Schotten, M.A. Chesters, Michel Modo, István Bódi, Michael A. Chesters and M. Surman. Their work appears in journals such as Journal of the Optical Society of America A, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Thin Solid Films and NeuroImage.

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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