M. Rupf

462 citations
9 papers · 322 · h-index 4

Impact in

Papers in

Journals
IEEE Transactions on Information Theory (2 papers)IEEE Transactions on Communications (1 paper)Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) (1 paper)ETH Zürich Research Collection (1 paper)

In The Last Decade

M. Rupf

8 papers receiving 307 citations

Peers

M. Rupf
Comparison fields: 5 of 32
  • Computer Networks and Communications 255
  • Electrical and Electronic Engineering 267
  • Signal Processing 22
  • Computational Mathematics 1
  • Artificial Intelligence 52
Replace Srdjan Budisin with:
Srdjan Budisin Serbia
F. Vanhaverbeke Belgium
Hideyuki Torii Japan
Parulpreet Singh India
Fatma Abdelkefi Tunisia
Johan Eilert Sweden
A. Baier Germany
Charles Jeon United States
Noriyoshi Kuroyanagi Japan
S.D. Sandberg United States
M. Rupf relative to Srdjan Budisin Serbia Srdjan Budisin's profile →
Citations per field
00.5×1.5×
Srdjan Budisin · 1×
Citations per year

Countries citing papers authored by M. Rupf

Since Specialization
Citations

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

Fields of papers citing papers by M. Rupf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside M. Rupf, 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 M. Rupf Line = papers co-authored together M. Rupf links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1994250
2 199633
3 199727
4
Determination of the IEEE 1588 relevant timing behaviour of 100Base-TX PHYs
20055
5 19933
6 20022
7 20221
8 20021
9 20050

About M. Rupf

M. Rupf is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology, having authored 9 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (4 papers), Coding theory and cryptography (3 papers), Wireless Communication Networks Research (3 papers), Cellular Automata and Applications (3 papers), Advanced Wireless Network Optimization (2 papers), Algorithms and Data Compression (2 papers), Radar Systems and Signal Processing (1 paper) and Radio Frequency Integrated Circuit Design (1 paper). The work is most often cited by research in Computer Networks and Communications (255 citations), Electrical and Electronic Engineering (267 citations), Signal Processing (22 citations), Computational Mathematics (1 citation) and Artificial Intelligence (52 citations). M. Rupf has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include James L. Massey, Roy D. Cideciyan and Evangelos Eleftheriou. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications, Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) and ETH Zürich Research Collection.

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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