Patrick Ledda

1.2k citations
23 papers · 857 indexed · h-index 13

Patrick Ledda

23 papers receiving 809 citations

Peers

Patrick Ledda
Comparison fields: 5 of 53
  • Computer Graphics and Computer-Aided Design 158
  • Computer Vision and Pattern Recognition 771
  • Media Technology 163
  • Atomic and Molecular Physics, and Optics 266
  • Human-Computer Interaction 45
Replace Matthew Trentacoste with:
Matthew Trentacoste Canada
Helge Seetzen Canada
Gregory Ward Larson United States
A. Vorozcovs Canada
Tunç Ozan Aydın Switzerland
Thomas Annen Germany
Francesco Banterle Italy
Xueming Yu United States
Alan Chalmers United Kingdom
Sven C. Olsen United States
Patrick Ledda relative to Matthew Trentacoste Canada Matthew Trentacoste's profile →
Citations per field
00.5×1.5×1.9×
Matthew Trentacoste · 1×
Citations per year

Countries citing papers authored by Patrick Ledda

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Ledda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Patrick Ledda, 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 Patrick Ledda Line = papers co-authored together Patrick Ledda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20162
2 201221
3
High Dynamic Range Imaging and LDR Expansion for Generating HDR Content
20092
4 20093
5 200955
6
A GPU-friendly method for high dynamic range texture compression using inverse tone mapping
200810
7 200845
8 20073
9 200764
10 2006158
11 20065
12 200514
13 20051
14 2005219
15 200484
16 20045
17 200315
18 20031
19 200317
20 200258

About Patrick Ledda

Patrick Ledda is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Space and Planetary Science, having authored 23 papers that have together received 857 indexed citations. Recurring topics across this work include Image Enhancement Techniques (15 papers), Advanced Vision and Imaging (10 papers), Color Science and Applications (9 papers), Computer Graphics and Visualization Techniques (7 papers), Visual perception and processing mechanisms (6 papers), Advanced Image Fusion Techniques (3 papers), 3D Surveying and Cultural Heritage (3 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (158 citations), Computer Vision and Pattern Recognition (771 citations) and Media Technology (163 citations). Patrick Ledda has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Alan Chalmers, Francesco Banterle, Kurt Debattista, Helge Seetzen, Tom Trościanko, Luís Paulo Santos, Kirsten Cater, Marina Bloj, Alessandro Artusi and Sumanta Pattanaik. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Signal Processing Image Communication, The Visual Computer and PRESENCE Virtual and Augmented Reality.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026