Linus Michaeli

850 citations
78 papers · 646 · h-index 15

Impact in

Papers in

Linus Michaeli

73 papers receiving 589 citations

Peers

Linus Michaeli
Comparison fields: 5 of 63
  • Computer Networks and Communications 241
  • Hardware and Architecture 70
  • Biomedical Engineering 331
  • Electrical and Electronic Engineering 404
  • Signal Processing 64
Replace Stefan Heinen with:
Stefan Heinen Germany
M. D’Apuzzo Italy
Wendy Van Moer Belgium
A. Baccigalupi Italy
Ján Šaliga Slovakia
Vladimir Vujičić Serbia
Vančo Litovski Serbia
Jean Renneboog Belgium
M.F. Wagdy United States
Gianfranco Avitabile Italy
Linus Michaeli relative to Stefan Heinen Germany Stefan Heinen's profile →
Citations per field
00.5×1.5×
Stefan Heinen · 1×
Citations per year

Countries citing papers authored by Linus Michaeli

Since Specialization
Citations

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

Fields of papers citing papers by Linus Michaeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Linus Michaeli, 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 Linus Michaeli Line = papers co-authored together Linus Michaeli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199955
2 200252
3 200542
4 200632
5 199830
6 201729
7 202128
8 199927
9 200326
10 200620
11 201318
12 200018
13 200016
14 200215
15 201814
16 201113
17 201011
18 201810
19 20049
20 20148

About Linus Michaeli

Linus Michaeli is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications, Control and Systems Engineering and Signal Processing, having authored 78 papers that have together received 646 indexed citations. Recurring topics across this work include Sensor Technology and Measurement Systems (41 papers), Analog and Mixed-Signal Circuit Design (39 papers), Advanced Electrical Measurement Techniques (23 papers), Control Systems and Identification (14 papers), Blind Source Separation Techniques (9 papers), Advanced MEMS and NEMS Technologies (8 papers), Advancements in PLL and VCO Technologies (7 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Computer Networks and Communications (241 citations), Hardware and Architecture (70 citations), Biomedical Engineering (331 citations), Electrical and Electronic Engineering (404 citations) and Signal Processing (64 citations). Linus Michaeli has collaborated with scholars based in Slovakia, Italy and Hungary. Frequent co-authors include Ján Šaliga, Pasquale Daponte, Pasquale Arpaïa, Domenico Grimaldi, A. Cruz Serra, Arrigo Palumbo, Pedro M. Ramos, Sergio Rapuano, István Kollár and R.C. Martins. Their work appears in journals such as Measurement, IEEE Transactions on Instrumentation and Measurement, Computer Standards & Interfaces, IEICE Transactions on Electronics and Measurement Science Review.

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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