Gabriel Eilertsen

1.5k citations
27 papers · 873 · 1 hit paper · h-index 11

Impact in

Papers in

Gabriel Eilertsen

27 papers receiving 843 citations

Gabriel Eilertsen's Hit Papers

HDR image reconstruction from a single exposure using deep CNNs 2017 · 374 citations
3740+3+6Years since publication100200300

Peers

Gabriel Eilertsen
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 679
  • Media Technology 155
  • Computer Graphics and Computer-Aided Design 57
  • Health Informatics 11
  • Artificial Intelligence 150
Replace Donggeun Yoo with:
Donggeun Yoo South Korea
Won-Dong Jang South Korea
Manuela Pereira Portugal
Tran Minh Quan South Korea
Dimitrios Androutsos Canada
António Pinheiro Portugal
Christine Fernández-Maloigne France
Seoung Wug Oh United States
Andrea Polesel Italy
Alper Güngör Türkiye
Gabriel Eilertsen relative to Donggeun Yoo South Korea Donggeun Yoo's profile →
Citations per field
00.5×3.7×
Donggeun Yoo · 1×
Citations per year

Countries citing papers authored by Gabriel Eilertsen

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Eilertsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Gabriel Eilertsen, 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 Gabriel Eilertsen Line = papers co-authored together Gabriel Eilertsen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
HDR image reconstruction from a single exposure using deep CNNs
Hit paper breakdown →
2017374
2 2020160
3 201769
4 201553
5 201353
6 202037
7 202227
8 202218
9 202217
10 201316
11 201913
12 20168
13
A versatile material reflectance measurement system for use in production
20115
14
Evaluation of Contrastive Predictive Coding for Histopathology Applications
20205
15 20204
16 20182
17 20142
18 20241
19 20231
20 20251

About Gabriel Eilertsen

Gabriel Eilertsen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 27 papers that have together received 873 indexed citations. Recurring topics across this work include Image Enhancement Techniques (12 papers), Advanced Vision and Imaging (9 papers), AI in cancer detection (6 papers), Color Science and Applications (5 papers), Advanced Image Processing Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (679 citations), Media Technology (155 citations), Computer Graphics and Computer-Aided Design (57 citations), Health Informatics (11 citations) and Artificial Intelligence (150 citations). Gabriel Eilertsen has collaborated with scholars based in Sweden, United Kingdom and South Africa. Frequent co-authors include Jonas Unger, Rafał Mantiuk, György Dénes, Joel Kronander, Claes Lundström, Karin Stacke, Per Larsson, Francesco Banterle, Thomas Walter and Michael Teutsch. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Scientific Reports, IEEE Journal of Biomedical and Health Informatics and Computers in Biology and Medicine.

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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