Michael Schaffner

698 citations
33 papers · 520 · h-index 12

Impact in

Papers in

Michael Schaffner

33 papers receiving 505 citations

Peers

Michael Schaffner
Comparison fields: 5 of 60
  • Hardware and Architecture 191
  • Management, Monitoring, Policy and Law 70
  • Computer Vision and Pattern Recognition 119
  • Computer Networks and Communications 113
  • Computational Theory and Mathematics 75
Replace Didier Demigny with:
Didier Demigny France
Kei Iwasaki Japan
J. Gong United States
Matthias Reso Germany
Tianyu Jia China
Dong–Sun Kim South Korea
Shaoteng Liu China
Zhan Yu China
Michael Schaffner relative to Didier Demigny France Didier Demigny's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Schaffner

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schaffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202098
2 201961
3 201860
4 202145
5 201727
6 202026
7 201625
8 201918
9 201815
10 201514
11 201613
12 201713
13 201411
14 201511
15 201211
16 20199
17 20228
18 20167
19 20156
20 20176

About Michael Schaffner

Michael Schaffner is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Signal Processing, Electrical and Electronic Engineering and Media Technology, having authored 33 papers that have together received 520 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Parallel Computing and Optimization Techniques (8 papers), Video Coding and Compression Technologies (6 papers), Low-power high-performance VLSI design (6 papers), Advanced Neural Network Applications (5 papers), Numerical Methods and Algorithms (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (191 citations), Management, Monitoring, Policy and Law (70 citations), Computer Vision and Pattern Recognition (119 citations), Computer Networks and Communications (113 citations) and Computational Theory and Mathematics (75 citations). Michael Schaffner has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Luca Benini, Frank Kagan Gürkaynak, Fabian Schuiki, Florian Zaruba, Matheus Cavalcante, Aljosa Smolic, Michael Gautschi, Hubert Kaeslin, Lukas Cavigelli and A. Cristiano I. Malossi. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Image Processing, IEEE Transactions on Computers and Nature Communications.

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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