K.-D. Kammeyer

2.8k citations
77 papers · 2.0k · h-index 18

Impact in

Papers in

K.-D. Kammeyer

73 papers receiving 1.9k citations

Peers

K.-D. Kammeyer
Comparison fields: 5 of 58
  • Computer Networks and Communications 1.3k
  • Signal Processing 349
  • Electrical and Electronic Engineering 1.6k
  • Computational Mechanics 223
  • Artificial Intelligence 348
Replace Philippe Ciblat with:
Philippe Ciblat France
Roberto López-Valcarce Spain
K. Feher United States
Stella N. Batalama United States
Inbar Fijalkow France
M. Tüchler Germany
George N. Karystinos Greece
Zhi-Quan Luo United States
J. Lodge Canada
Tan F. Wong United States
K.-D. Kammeyer relative to Philippe Ciblat France Philippe Ciblat's profile →
Citations per field
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Philippe Ciblat · 1×
Citations per year

Countries citing papers authored by K.-D. Kammeyer

Since Specialization
Citations

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

Fields of papers citing papers by K.-D. Kammeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.-D. Kammeyer. 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 K.-D. Kammeyer. The network helps show where K.-D. Kammeyer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001374
2 2003338
3 2004294
4 2004137
5 2006124
6 199981
7 200578
8 200857
9 199837
10 199430
11 200330
12 199730
13 199228
14 199625
15 200925
16 200624
17 200220
18 200219
19 200117
20 200615

About K.-D. Kammeyer

K.-D. Kammeyer is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing, Computational Mechanics and Artificial Intelligence, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Wireless Communication Networks Research (44 papers), Advanced Wireless Communication Techniques (42 papers), Blind Source Separation Techniques (22 papers), Speech and Audio Processing (17 papers), Advanced Adaptive Filtering Techniques (11 papers), Advanced Wireless Network Optimization (9 papers), Advanced MIMO Systems Optimization (8 papers) and Cooperative Communication and Network Coding (6 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Signal Processing (349 citations), Electrical and Electronic Engineering (1.6k citations), Computational Mechanics (223 citations) and Artificial Intelligence (348 citations). K.-D. Kammeyer has collaborated with scholars based in Germany and Sweden. Frequent co-authors include V. Kühn, Dirk Wübben, Ronald Böhnke, Petra Weitkemper, R. Laur, Karin Zielinski, Jöerg Bitzer, Klaus Uwe Simmer, Sven Fischer and Kirsten Matheus. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Signal Processing, IEEE Transactions on Evolutionary Computation, IEEE Signal Processing Letters and IEEE Photonics Technology 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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