Michael Gautschi

861 citations
24 papers · 630 indexed · h-index 13

Impact in

Papers in

Michael Gautschi

23 papers receiving 604 citations

Peers

Michael Gautschi
Comparison fields: 5 of 52
  • Hardware and Architecture 262
  • Energy Engineering and Power Technology 28
  • Computer Networks and Communications 175
  • Electrical and Electronic Engineering 441
  • General Energy 4
Replace Hirofumi Shinohara with:
Hirofumi Shinohara Japan
Xuan Yang United States
Anh Tuan Singapore
Fei Xia United Kingdom
Tyson S. Hall United States
Mingyu Wang China
Georgios Karakonstantis United Kingdom
Antonio Martínez-Álvarez Spain
Giovanni Ansaloni Switzerland
Michael Gautschi relative to Hirofumi Shinohara Japan Hirofumi Shinohara's profile →
Citations per field
00.5×1.5×2.1×
Hirofumi Shinohara · 1×
Citations per year

Countries citing papers authored by Michael Gautschi

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gautschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20200
2 2017144
3 20173
4 201740
5 201724
6 20163
7 201625
8 20162
9 201631
10 20167
11 201623
12 201586
13 201548
14 201514
15 201511
16 201418
17
A 1Gbps LTE-advanced turbo-decoder ASIC in 65nm CMOS
201333
18 200864
19 19767
20 19673

About Michael Gautschi

Michael Gautschi is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Signal Processing, Electrical and Electronic Engineering and Instrumentation, having authored 24 papers that have together received 630 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (14 papers), Parallel Computing and Optimization Techniques (9 papers), Numerical Methods and Algorithms (6 papers), Interconnection Networks and Systems (5 papers), Digital Filter Design and Implementation (4 papers), CCD and CMOS Imaging Sensors (3 papers), Advanced Memory and Neural Computing (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (262 citations), Energy Engineering and Power Technology (28 citations), Computer Networks and Communications (175 citations), Electrical and Electronic Engineering (441 citations) and General Energy (4 citations). Michael Gautschi has collaborated with scholars based in Switzerland, Italy and France. Frequent co-authors include Luca Benini, Davide Rossi, Antonio Pullini, Francesco Conti, Frank K. Gürkaynak, Igor Loi, Matthias Schulze, Éric Flamand, Philippe Flatresse and Pasquale Davide Schiavone. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Journal of Solid-State Circuits, Solid-State Electronics, IEEE Micro and IEEE Solid-State Circuits Letters.

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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