D. Sinclair

34 papers receiving 626 citations

Peers

D. Sinclair
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 413
  • Computer Graphics and Computer-Aided Design 22
  • Nuclear and High Energy Physics 56
  • Human-Computer Interaction 23
  • Signal Processing 39
Replace Zia-ur Rahman with:
Zia-ur Rahman United States
Raffaella Fontana Italy
Ilia V. Safonov Russia
A. W. Smith United Kingdom
Jingyu Cui China
Xiang Zhou China
Andrea Casini Italy
Yudai Tanaka Japan
D. Sinclair relative to Zia-ur Rahman United States Zia-ur Rahman's profile →
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Citations per year

Countries citing papers authored by D. Sinclair

Since Specialization
Citations

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

Fields of papers citing papers by D. Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Sinclair, 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 D. Sinclair Line = papers co-authored together D. Sinclair links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001157
2 195583
3 200348
4 199846
5 199643
6
SHOEBOX: A DIGITAL PHOTO MANAGEMENT SYSTEM
200035
7 199433
8 198632
9 200323
10 200821
11 199319
12 198016
13 201515
14 198614
15 201813
16
A Comparison of Measures for Visualising Image Similarity
200011
17 200211
18 201011
19 199911
20 20179

About D. Sinclair

D. Sinclair is a scholar working on Nuclear and High Energy Physics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Oral Surgery and Radiation, having authored 36 papers that have together received 700 indexed citations. Recurring topics across this work include Neutrino Physics Research (11 papers), Image Retrieval and Classification Techniques (10 papers), Dark Matter and Cosmic Phenomena (7 papers), Particle physics theoretical and experimental studies (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Astrophysics and Cosmic Phenomena (6 papers), Video Analysis and Summarization (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (413 citations), Computer Graphics and Computer-Aided Design (22 citations), Nuclear and High Energy Physics (56 citations), Human-Computer Interaction (23 citations) and Signal Processing (39 citations). D. Sinclair has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Wojciech Basalaj, Kenneth R. Wood, Kerry Rodden, S. A. Greenberg, Andrew Blake, Christopher Town, David Pye, Roberto Cipolla, Paul Smith and Ken Wood. Their work appears in journals such as Image and Vision Computing, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Visualization and Computer Graphics, Computer Methods and Programs in Biomedicine and Advances in High Energy Physics.

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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