Sven Klomp

611 citations
11 papers · 441 · h-index 7

Impact in

Papers in

Sven Klomp

10 papers receiving 436 citations

Peers

Sven Klomp
Comparison fields: 5 of 22
  • Computer Vision and Pattern Recognition 309
  • Signal Processing 129
  • Computer Networks and Communications 165
  • Electrical and Electronic Engineering 345
  • Computational Mechanics 72
Replace Denis Kubasov with:
Denis Kubasov France
Mourad Ouaret Switzerland
Abhik Majumdar United States
Zixiang Xiong United States
Gagan Rath France
P.G. Sherwood United States
Phil Chou United States
Marc Adrat Germany
Josep Prades-Nebot Spain
Damien Castelain France
Sven Klomp relative to Denis Kubasov France Denis Kubasov's profile →
Citations per field
00.5×1.5×
Denis Kubasov · 1×
Citations per year

Countries citing papers authored by Sven Klomp

Since Specialization
Citations

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

Fields of papers citing papers by Sven Klomp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Sven Klomp, 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 Sven Klomp Line = papers co-authored together Sven Klomp links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
The DISCOVER codec: Architecture, Techniques and Evaluation
2007312
2 200867
3 201013
4 200711
5 200911
6 20077
7 20107
8 20056
9 20105
10 20112
11 20100

About Sven Klomp

Sven Klomp is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Computer Networks and Communications and Computational Mechanics, having authored 11 papers that have together received 441 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (7 papers), Advanced Vision and Imaging (6 papers), Advanced Data Compression Techniques (4 papers), Wireless Communication Security Techniques (4 papers), Chaos-based Image/Signal Encryption (2 papers), Error Correcting Code Techniques (2 papers), Advanced Image Processing Techniques (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (309 citations), Signal Processing (129 citations), Computer Networks and Communications (165 citations), Electrical and Electronic Engineering (345 citations) and Computational Mechanics (72 citations). Sven Klomp has collaborated with scholars based in Germany, Portugal and Switzerland. Frequent co-authors include Denis Kubasov, Marco Dalai, João Ascenso, Mourad Ouaret, Jörn Östermann, L. Torres, Fernando Pereira, Christine Guillemot, Touradj Ebrahimi and Riccardo Leonardi. Their work appears in journals such as Signal Processing Image Communication, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and DOAJ (DOAJ: Directory of Open Access Journals).

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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