Hubert Kaeslin

1.4k citations
58 papers · 932 indexed · h-index 17

Impact in

Papers in

Hubert Kaeslin

53 papers receiving 842 citations

Peers

Hubert Kaeslin
Comparison fields: 5 of 58
  • Hardware and Architecture 293
  • Signal Processing 137
  • Computer Vision and Pattern Recognition 230
  • Artificial Intelligence 284
  • Electrical and Electronic Engineering 460
Replace P.M. Chau with:
P.M. Chau United States
W.M. Snelgrove Canada
Martine Schlag United States
Soo‐Ik Chae South Korea
Georgi Kuzmanov Netherlands
Frank K. Gürkaynak Switzerland
Bevan Baas United States
Myung Hoon Sunwoo South Korea
Shen‐Fu Hsiao Taiwan
Brandon Lloyd United States
Hubert Kaeslin relative to P.M. Chau United States P.M. Chau's profile →
Citations per field
00.5×4.4×
P.M. Chau · 1×
Citations per year

Countries citing papers authored by Hubert Kaeslin

Since Specialization
Citations

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

Fields of papers citing papers by Hubert Kaeslin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201437
2 20131
3 201321
4
Compressive sensing for WiFi-based passive bistatic radar
201214
5
Sparsity-based real-time audio restoration
20122
6 201254
7 20113
8 200878
9 20078
10 20062
11
A 2.7-µW/MHz Transmission-Gate-Based 16-bit Multiplier for Digital Hearing Aids
20052
12 200430
13 200435
14 20037
15 20022
16 20021
17 20011
18
The Impact of Transistor Sizing on Power Efficiency in Submicron CMOS Circuits
19965
19 199490
20 19865

About Hubert Kaeslin

Hubert Kaeslin is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 58 papers that have together received 932 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (17 papers), Cryptographic Implementations and Security (12 papers), Advanced Vision and Imaging (11 papers), Analog and Mixed-Signal Circuit Design (11 papers), Sparse and Compressive Sensing Techniques (8 papers), Chaos-based Image/Signal Encryption (8 papers), Coding theory and cryptography (7 papers) and VLSI and Analog Circuit Testing (7 papers). The work is most often cited by research in Hardware and Architecture (293 citations), Signal Processing (137 citations), Computer Vision and Pattern Recognition (230 citations), Artificial Intelligence (284 citations) and Electrical and Electronic Engineering (460 citations). Hubert Kaeslin has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include N. Felber, Wolf Fïchtner, Frank K. Gürkaynak, Andreas Curiger, Norbert Felber, R. Zimmermann, Lin Bai, Andreas Burg, Christoph Studer and Christoph A. Keller. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Image Processing and IEEE Micro.

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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