Daniel Willkomm

2.1k total citations · 1 hit paper
25 papers, 1.5k citations indexed

About

Daniel Willkomm is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Willkomm has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 19 papers in Computer Networks and Communications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Willkomm's work include Advanced MIMO Systems Optimization (15 papers), Cognitive Radio Networks and Spectrum Sensing (14 papers) and Wireless Communication Networks Research (9 papers). Daniel Willkomm is often cited by papers focused on Advanced MIMO Systems Optimization (15 papers), Cognitive Radio Networks and Spectrum Sensing (14 papers) and Wireless Communication Networks Research (9 papers). Daniel Willkomm collaborates with scholars based in Germany, United States and Ireland. Daniel Willkomm's co-authors include Adam Wolisz, Shridhar Mubaraq Mishra, R.W. Brodersen, Sridhar Machiraju, Jean Bolot, James Gross, Andreas Köpke, K. Wessel, Wendong Hu and Mário Gerla and has published in prestigious journals such as IEEE Communications Magazine, IEEE Wireless Communications and Ghent University Academic Bibliography (Ghent University).

In The Last Decade

Daniel Willkomm

22 papers receiving 1.4k citations

Hit Papers

A Cognitive Radio Approach for Usage of Virtual Unlicense... 2005 2026 2012 2019 2005 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Cognitive Radio Approach for Usage of Virtual Unlicensed Spectrum
    2005 391 citations Shridhar Mubaraq Mishra, Daniel Willkomm et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Willkomm Germany 11 1.3k 986 65 63 50 25 1.5k
Stefan Geirhofer United States 14 2.2k 1.7× 2.2k 2.2× 52 0.8× 87 1.4× 139 2.8× 28 2.7k
Ryan W. Thomas United States 14 1.1k 0.9× 696 0.7× 29 0.4× 62 1.0× 59 1.2× 33 1.4k
Yanxiao Zhao United States 16 944 0.7× 716 0.7× 25 0.4× 41 0.7× 63 1.3× 49 1.1k
Alireza Attar Canada 18 928 0.7× 862 0.9× 50 0.8× 21 0.3× 68 1.4× 42 1.1k
Suzan Bayhan Finland 17 966 0.7× 665 0.7× 29 0.4× 61 1.0× 123 2.5× 80 1.2k
Harri Holma Finland 16 2.5k 1.9× 2.7k 2.7× 41 0.6× 72 1.1× 130 2.6× 38 2.9k
Adrian Kliks Poland 19 760 0.6× 904 0.9× 30 0.5× 52 0.8× 115 2.3× 128 1.2k
Hanna Bogucka Poland 19 698 0.5× 811 0.8× 35 0.5× 50 0.8× 70 1.4× 99 1.1k
M. Mouly France 5 742 0.6× 598 0.6× 14 0.2× 58 0.9× 52 1.0× 8 1.0k
T.-S.P. Yum Hong Kong 19 1.1k 0.9× 981 1.0× 18 0.3× 45 0.7× 60 1.2× 73 1.3k

Countries citing papers authored by Daniel Willkomm

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Willkomm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Willkomm

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Willkomm. A scholar is included among the top collaborators of Daniel Willkomm 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 Daniel Willkomm. Daniel Willkomm 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
1.
Doering, Michael, Łukasz Budzisz, Daniel Willkomm, & Adam Wolisz. (2013). About the practicality of using partially overlapping channels in IEEE 802.11 b/g networks. 8 indexed citations
2.
3.
Liu, Wei, et al.. (2012). Robust distributed sensing with heterogeneous devices. Ghent University Academic Bibliography (Ghent University). 1–9. 3 indexed citations
4.
Feeney, Laura Marie & Daniel Willkomm. (2012). Energy Framework: an extensible framework for simulating battery consumption in wireless networks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 22 indexed citations
5.
DaSilva, Luiz A., Sofie Pollin, Wei Liu, et al.. (2011). Experimental assessment of tradeoffs among spectrumsensing platforms. 67–74. 8 indexed citations
6.
Heller, Christoph, et al.. (2011). A performance comparison of different spectrum sensing techniques. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
7.
Willkomm, Daniel & Adam Wolisz. (2010). Is oversensitive spectrum sensing the door opener for initial cognitive radio deployments?. 21–24. 1 indexed citations
8.
Dombrowski, Christian, Daniel Willkomm, & Adam Wolisz. (2010). Is High Quality Sensing Really Necessary for Opportunistic Spectrum Usage?. 1–6. 1 indexed citations
9.
Willkomm, Daniel, et al.. (2010). On Centralized and Distributed Frequency Assignment in Cognitive Radio Based Frequency Hopping Cellular Networks Invited Paper.
10.
Köpke, Andreas, K. Wessel, Daniel Willkomm, et al.. (2010). Simulating Wireless and Mobile Networks in OMNeT++ The MiXiM Vision. 2 indexed citations
11.
Wessel, K., et al.. (2010). MiXiM: the physical layer an architecture overview.
12.
Feeney, Laura Marie & Daniel Willkomm. (2010). Energy Framework: An Extensible Framework for Simulating Battery Consumption in Wireless Network. 2 indexed citations
13.
14.
Wessel, K., et al.. (2009). MiXiM: the physical layer an architecture overview. 28 indexed citations
15.
Willkomm, Daniel, Sridhar Machiraju, Jean Bolot, & Adam Wolisz. (2009). Primary user behavior in cellular networks and implications for dynamic spectrum access. IEEE Communications Magazine. 47(3). 88–95. 158 indexed citations
16.
Willkomm, Daniel, et al.. (2008). Double Hopping: A new approach for Dynamic Frequency Hopping in Cognitive Radio networks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–6. 19 indexed citations
17.
Hu, Wendong, Daniel Willkomm, Murad Abusubaih, et al.. (2007). COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Frequency Hopping Communities for Efficient IEEE 802.22 Operation. IEEE Communications Magazine. 45(5). 80–87. 178 indexed citations
18.
Mishra, Shridhar Mubaraq, Daniel Willkomm, R.W. Brodersen, & Adam Wolisz. (2005). A Cognitive Radio Approach for Usage of Virtual Unlicensed Spectrum. 391 indexed citations breakdown →
19.
Willkomm, Daniel, James Gross, & Adam Wolisz. (2005). Reliable link maintenance in cognitive radio systems. KTH Publication Database DiVA (KTH Royal Institute of Technology). 371–378. 109 indexed citations
20.
Mishra, Shridhar Mubaraq, Danijela Čabrić, Chang Chen, et al.. (2005). A real time cognitive radio testbed for physical and link layer experiments. 562–567. 114 indexed citations

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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