Alan Chalmers

784 citations
26 papers · 510 indexed · h-index 9

Impact in

Papers in

Alan Chalmers

25 papers receiving 490 citations

Peers

Alan Chalmers
Comparison fields: 5 of 67
  • Computer Graphics and Computer-Aided Design 92
  • Computer Vision and Pattern Recognition 430
  • Media Technology 83
  • Geology 29
  • Atomic and Molecular Physics, and Optics 150
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Citations per field
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Citations per year

Countries citing papers authored by Alan Chalmers

Since Specialization
Citations

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

Fields of papers citing papers by Alan Chalmers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20198
2 2017106
3
High Dynamic Range Video, Concepts, Technologies and Applications
20179
4 20166
5 20161
6 20152
7
Real time delivery of HDR video
20141
8 20141
9 20138
10 20111
11 2011148
12 20109
13
High Dynamic Range Imaging and LDR Expansion for Generating HDR Content
20092
14 200919
15 20092
16
An Image-Based Food Classification System
20073
17 2002116
18
Improving Hierarchical Monte Carlo Radiosity Algorithms
20001
19 20008
20
Image Quality Metrics
200035

About Alan Chalmers

Alan Chalmers is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Instrumentation, Industrial and Manufacturing Engineering and Computational Mechanics, having authored 26 papers that have together received 510 indexed citations. Recurring topics across this work include Image Enhancement Techniques (12 papers), Advanced Vision and Imaging (10 papers), Computer Graphics and Visualization Techniques (9 papers), Color Science and Applications (6 papers), 3D Shape Modeling and Analysis (3 papers), Visual perception and processing mechanisms (2 papers), Visual Attention and Saliency Detection (2 papers) and Color perception and design (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (92 citations), Computer Vision and Pattern Recognition (430 citations), Media Technology (83 citations), Geology (29 citations) and Atomic and Molecular Physics, and Optics (150 citations). Alan Chalmers has collaborated with scholars based in United Kingdom, Austria and Portugal. Frequent co-authors include Kurt Debattista, Alessandro Artusi, Francesco Banterle, Alexander Wilkie, Werner Purgathofer, Kate Devlin, Ann McNamara, Tom Trościanko, Scott Daly and Karol Myszkowski. Their work appears in journals such as Computer Graphics Forum, The Visual Computer, Color Research & Application, Signal Processing Image Communication and ACM Transactions on Applied Perception.

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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