Jaap van de Beek

81 papers receiving 5.5k citations

Hit Papers

ML estimation of time and frequency offset in OFDM systems199720262006201619972002199850010001.5k

Peers

Jaap van de Beek
Comparison fields: 5 of 86
  • Electrical and Electronic Engineering 5.5k
  • Computer Networks and Communications 3.9k
  • Signal Processing 544
  • Aerospace Engineering 382
  • Artificial Intelligence 319
Replace Giulio Colavolpe with:
Giulio Colavolpe Italy
Tho Le‐Ngoc Canada
Luc Vandendorpe Belgium
Harish Viswanathan United States
L.J. Greenstein United States
Richard D. Gitlin United States
J.M. Holtzman United States
G.L. Stüber United States
Olav Tirkkonen Finland
Shilpa Talwar United States
Jaap van de Beek relative to Giulio Colavolpe Italy Giulio Colavolpe's profile →
Citations per field
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Giulio Colavolpe · 1×
Citations per year

Countries citing papers authored by Jaap van de Beek

Since Specialization
Citations

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

Fields of papers citing papers by Jaap van de Beek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaap van de Beek. 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 Jaap van de Beek. The network helps show where Jaap van de Beek may publish in the future.

Co-authorship network of co-authors of Jaap van de Beek

This figure shows the co-authorship network connecting the top 25 collaborators of Jaap van de Beek. A scholar is included among the top collaborators of Jaap van de Beek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaap van de Beek. Jaap van de Beek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 0
3 0
4 1
5 2
6 7
7 8
8 56
9 4
10 2
11 2
12 2
13 4
14 6
15
Intrinsic challenges (and opportunities) to deploy LTE in Europe's TV white spaces
8
16 114
17
Radio environmental maps: information models and reference model. Document number D4.1
11
18 46
19 146
20
ML estimation of timing and frequency offset in OFDM systems
119

About Jaap van de Beek

Jaap van de Beek is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 88 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (36 papers), Wireless Communication Networks Research (32 papers) and PAPR reduction in OFDM (24 papers). The work is most often cited by research in Computer Networks and Communications (3.9k citations), Electrical and Electronic Engineering (5.5k citations) and Signal Processing (544 citations). Jaap van de Beek has collaborated with scholars based in Sweden, Germany and France. Frequent co-authors include Per Ola Börjesson, Magnus Sandell, Sarah Kate Wilson, Ove Edfors, Fredrik Berggren, Branislav M. Popović, Petri Mähönen, Per Ödling, Daniel Landström and Janne Riihijärvi. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

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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