Manuel Lang

1.4k citations
17 papers · 1.0k · h-index 10

Impact in

Papers in

Manuel Lang

17 papers receiving 993 citations

Peers

Manuel Lang
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 896
  • Computer Graphics and Computer-Aided Design 141
  • Media Technology 312
  • Signal Processing 126
  • Human-Computer Interaction 43
Replace Luce Morin with:
Luce Morin France
Emilio Antúnez United States
Mohamed–Chaker Larabi France
Simon Heinzle Switzerland
Young-Ho Seo South Korea
Patrick Ledda United Kingdom
Zhongkang Lu Singapore
Yong Ju Jung South Korea
Martin Řeřábek Switzerland
Manuel Lang relative to Luce Morin France Luce Morin's profile →
Citations per field
00.5×4.3×
Luce Morin · 1×
Citations per year

Countries citing papers authored by Manuel Lang

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Manuel Lang, 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 Manuel Lang Line = papers co-authored together Manuel Lang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2010251
2 2009190
3 2013130
4 201293
5 201193
6 200992
7 201058
8 201245
9 201125
10 201322
11 20109
12 20138
13 20107
14 20123
15 20113
16 20123
17
Learning to Link
20201

About Manuel Lang

Manuel Lang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Advanced Image Processing Techniques (6 papers), Video Coding and Compression Technologies (5 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Optical Imaging Technologies (3 papers), Image Enhancement Techniques (3 papers), Image and Video Quality Assessment (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (896 citations), Computer Graphics and Computer-Aided Design (141 citations), Media Technology (312 citations), Signal Processing (126 citations) and Human-Computer Interaction (43 citations). Manuel Lang has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Markus Groß, Andreas Hornung, Aljoša Smolić, Oliver Wang, Philipp Krähenbühl, Tobi Delbrück, Steven Poulakos, Tunç Ozan Aydın, Marcus Müller and Sebastian Knorr. Their work appears in journals such as ACM Transactions on Graphics, Proceedings of the IEEE, IEEE Transactions on Image Processing, Frontiers in Neuroscience and Zenodo (CERN European Organization for Nuclear Research).

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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