Rafał Mantiuk

7.8k citations
167 papers · 4.9k indexed · 3 hit papers · h-index 33

Rafał Mantiuk

157 papers receiving 4.7k citations

Hit Papers

HDR image reconstruction from a single exposure usin...3602011202620162021100200300400

Peers

Rafał Mantiuk
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 4.3k
  • Computer Graphics and Computer-Aided Design 446
  • Media Technology 1.0k
  • Atomic and Molecular Physics, and Optics 1.3k
  • Human-Computer Interaction 195
Replace Karol Myszkowski with:
Karol Myszkowski Germany
James A. Ferwerda United States
Scott Daly United States
Aseem Agarwala United States
Patrick Le Callet France
Ko Nishino Japan
Jack Tumblin United States
Sumanta Pattanaik United States
Todd Zickler United States
Neil A. Dodgson United Kingdom
Rafał Mantiuk relative to Karol Myszkowski Germany Karol Myszkowski's profile →
Citations per field
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Karol Myszkowski · 1×
Citations per year

Countries citing papers authored by Rafał Mantiuk

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Mantiuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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19 200915
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Wykorzystanie procesorów graficznych do szybkiego przetwarzania obrazów HDR
20070

About Rafał Mantiuk

Rafał Mantiuk is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 167 papers that have together received 4.9k indexed citations. Recurring topics across this work include Image Enhancement Techniques (87 papers), Color Science and Applications (68 papers), Advanced Vision and Imaging (47 papers), Image and Video Quality Assessment (46 papers), Visual perception and processing mechanisms (41 papers), Advanced Image Processing Techniques (31 papers), Advanced Image Fusion Techniques (14 papers) and Computer Graphics and Visualization Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Computer Graphics and Computer-Aided Design (446 citations) and Media Technology (1.0k citations). Rafał Mantiuk has collaborated with scholars based in United Kingdom, Germany and Canada. Frequent co-authors include Wolfgang Heidrich, Hans‐Peter Seidel, Karol Myszkowski, Kil Joong Kim, Allan G. Rempel, Gabriel Eilertsen, Jonas Unger, Tunç Ozan Aydın, Scott Daly and György Dénes. Their work appears in journals such as Nature Communications, Scientific Reports and Radiology.

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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