U. Wachsmann

1.3k citations
13 papers · 862 · 1 hit paper · h-index 8

Impact in

Papers in

U. Wachsmann

13 papers receiving 791 citations

U. Wachsmann's Hit Papers

Multilevel codes: theoretical concepts and practical design rules 1999 · 612 citations
6120+9+18Years since publication200400600

Peers

U. Wachsmann
Comparison fields: 5 of 24
  • Computer Networks and Communications 703
  • Electrical and Electronic Engineering 786
  • Artificial Intelligence 168
  • Computational Theory and Mathematics 66
  • Signal Processing 23
Replace Fabian Steiner with:
Fabian Steiner Germany
N. Wiberg Sweden
S. Hirakawa Japan
I.J. Fair Canada
Y. Kou United States
Victor Zyablov Russia
Eirik Rosnes Norway
Joseph B. Soriaga United States
C. Windpassinger Germany
Andrew Thangaraj India
U. Wachsmann relative to Fabian Steiner Germany Fabian Steiner's profile →
Citations per field
00.5×1.7×
Fabian Steiner · 1×
Citations per year

Countries citing papers authored by U. Wachsmann

Since Specialization
Citations

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

Fields of papers citing papers by U. Wachsmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside U. Wachsmann, 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 U. Wachsmann Line = papers co-authored together U. Wachsmann links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Multilevel codes: theoretical concepts and practical design rules
Hit paper breakdown →
1999612
2 199575
3 200361
4 199449
5 200221
6 200212
7 200211
8 201010
9 20035
10 20022
11 20112
12 20021
13 20021

About U. Wachsmann

U. Wachsmann is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence and Infectious Diseases, having authored 13 papers that have together received 862 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (13 papers), Error Correcting Code Techniques (6 papers), Advanced MIMO Systems Optimization (4 papers), Cooperative Communication and Network Coding (4 papers), Wireless Communication Networks Research (3 papers), Cellular Automata and Applications (3 papers), Power Line Communications and Noise (2 papers) and Coding theory and cryptography (2 papers). The work is most often cited by research in Computer Networks and Communications (703 citations), Electrical and Electronic Engineering (786 citations), Artificial Intelligence (168 citations), Computational Theory and Mathematics (66 citations) and Signal Processing (23 citations). U. Wachsmann has collaborated with scholars based in Germany and Sweden. Frequent co-authors include J.B. Huber, Robert F. H. Fischer, Johannes B. Huber, Peter Schramm, Jörn Thielecke, Hans D. Schotten, Ralf R. Müller, Eckhard Ohlmer, Gerhard Fettweis and Uwe Dettmar. Their work appears in journals such as Electronics Letters, European Transactions on Telecommunications and IEEE Transactions on Information Theory.

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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