Hans L. Cycon

31 papers receiving 1.3k citations

Hit Papers

Schrodinger Operators: With Application to Quantum Mechan...198720262000201319871987100200300400500

Peers

Hans L. Cycon
Comparison fields: 5 of 65
  • Mathematical Physics 924
  • Statistical and Nonlinear Physics 360
  • Computational Theory and Mathematics 358
  • Atomic and Molecular Physics, and Optics 257
  • Applied Mathematics 257
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Countries citing papers authored by Hans L. Cycon

Since Specialization
Citations

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

Fields of papers citing papers by Hans L. Cycon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans L. Cycon. 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 Hans L. Cycon. The network helps show where Hans L. Cycon may publish in the future.

Co-authorship network of co-authors of Hans L. Cycon

This figure shows the co-authorship network connecting the top 25 collaborators of Hans L. Cycon. A scholar is included among the top collaborators of Hans L. Cycon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans L. Cycon. Hans L. Cycon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
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3 2
4 11
5
A Fast Renormalization Technique for H.264/MPEG4-AVC Arithmetic Coding
10
6 10
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Bewegtes Lernen in mobilen Kommunikationsinfrastrukturen.
0
8 1
9 13
10
Efficient Pre-Coding Techniques for Wavelet-Based Image Compression∗
11
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Mobility Support in Real-time Video Communication U
0
12
Compound Media Straming in Time.
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13 20
14 4
15
Sleep Stage Classification using Wavelet Transform and Neural Network
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16 11
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Schrodinger Operators: With Application to Quantum Mechanics and Global Geometrybreakdown →
595
18
An upper bound for the local time-decay of scattering solutions for the Schrödinger equation with Coulomb potential
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19 1
20 6

About Hans L. Cycon

Hans L. Cycon is a scholar working on Signal Processing, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (12 papers), Video Coding and Compression Technologies (11 papers) and Image and Signal Denoising Methods (9 papers). The work is most often cited by research in Mathematical Physics (924 citations), Statistical and Nonlinear Physics (360 citations) and Applied Mathematics (257 citations). Hans L. Cycon has collaborated with scholars based in Germany and United States. Frequent co-authors include Barry Simon, Richard Froese, Werner Kirsch, Detlev Marpe, Kai Uwe Barthel, Marc Jobert, Valeri George, Matthias Wählisch, Thomas C. Schmidt and Peter Perry. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Future Generation Computer Systems and Multimedia Tools and Applications.

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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