Kai‐Uwe Schmidt

913 citations
35 papers · 464 · h-index 11

Impact in

Papers in

Kai‐Uwe Schmidt

34 papers receiving 446 citations

Peers

Kai‐Uwe Schmidt
Comparison fields: 5 of 41
  • Discrete Mathematics and Combinatorics 83
  • Algebra and Number Theory 101
  • Geometry and Topology 64
  • Artificial Intelligence 193
  • Computer Networks and Communications 135
Replace Sudhir R. Ghorpade with:
Sudhir R. Ghorpade India
H.E. Jensen Denmark
Zeev Dvir United States
Bahman Saffari France
B. A. Sethuraman United States
Mowaffaq Hajja Jordan
Rod Gow Ireland
Gábor Ivanyos Hungary
Bo-Ying Wang China
George Purdy United States
Kai‐Uwe Schmidt relative to Sudhir R. Ghorpade India Sudhir R. Ghorpade's profile →
Citations per field
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Sudhir R. Ghorpade · 1×
Citations per year

Countries citing papers authored by Kai‐Uwe Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Uwe Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Uwe Schmidt. 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 Kai‐Uwe Schmidt. The network helps show where Kai‐Uwe Schmidt may publish in the future.

Co-authors

The 15 scholars most cited alongside Kai‐Uwe Schmidt, 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 Kai‐Uwe Schmidt Line = papers co-authored together Kai‐Uwe Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198979
2 200778
3 200654
4 198450
5 201428
6 201520
7 201119
8 201517
9 201315
10 201011
11 201311
12 20079
13 20147
14 20087
15 20177
16 20096
17 20165
18 20065
19 20055
20 20154

About Kai‐Uwe Schmidt

Kai‐Uwe Schmidt is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Discrete Mathematics and Combinatorics, Computer Networks and Communications and Algebra and Number Theory, having authored 35 papers that have together received 464 indexed citations. Recurring topics across this work include Coding theory and cryptography (23 papers), graph theory and CDMA systems (14 papers), Advanced Wireless Communication Techniques (10 papers), PAPR reduction in OFDM (10 papers), Finite Group Theory Research (8 papers), Analytic Number Theory Research (5 papers), Wireless Communication Networks Research (5 papers) and Advanced Combinatorial Mathematics (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (83 citations), Algebra and Number Theory (101 citations), Geometry and Topology (64 citations), Artificial Intelligence (193 citations) and Computer Networks and Communications (135 citations). Kai‐Uwe Schmidt has collaborated with scholars based in Germany, Canada and China. Frequent co-authors include Lou van den Dries, Yue Zhou, P. L. Butzer, Jonathan Jedwab, Daniel J. Katz, Christian Günther, Adolf Finger, Matthew G. Parker, Albrecht Rothermel and Alexander Pott. Their work appears in journals such as Designs Codes and Cryptography, Journal of Combinatorial Theory Series A, IEEE Transactions on Information Theory, IEEE Communications Letters and Journal of Algebraic Combinatorics.

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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