David W. Matolak

6.2k citations
231 papers · 4.4k indexed · 1 hit paper · h-index 28
Topics
Power Line Communications and Noise (104 papers)Millimeter-Wave Propagation and Modeling (95 papers)Advanced Wireless Communication Techniques (56 papers)

In The Last Decade

David W. Matolak

218 papers receiving 4.2k citations

Hit Papers

Challenges Toward Wireless Communications for High-Speed ...20142026201820222014100200300

Peers

David W. Matolak
Comparison fields: 5 of 84
  • Electrical and Electronic Engineering 3.5k
  • Aerospace Engineering 1.9k
  • Computer Networks and Communications 1.4k
  • Computer Vision and Pattern Recognition 254
  • Media Technology 167
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Countries citing papers authored by David W. Matolak

Since Specialization
Citations

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

Fields of papers citing papers by David W. Matolak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Matolak. 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 David W. Matolak. The network helps show where David W. Matolak may publish in the future.

Co-authorship network of co-authors of David W. Matolak

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Matolak. A scholar is included among the top collaborators of David W. Matolak 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 David W. Matolak. David W. Matolak 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 0
2 3
3 5
4 0
5 0
6 7
7 10
8
UAV Channel Models: Review and Future Research
9
9 75
10 4
11 9
12 12
13 7
14
Channel characterization for unmanned aircraft systems
6
15
V2V channel characteristics and models for 5 GHz parking garage channels
14
16 16
17 22
18
Channel models for V2V communications: A comparison of different approaches
12
19
Wireless Channel Characterization: Modeling the 5 GHz Microwave Landing System Extension Band for Future Airport Surface Communications
4
20
Frequency Spectrum for New Aviation Data Links: Initial Study Results
2

About David W. Matolak

David W. Matolak is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 231 papers that have together received 4.4k indexed citations. Recurring topics across this work include Power Line Communications and Noise (104 papers), Millimeter-Wave Propagation and Modeling (95 papers) and Advanced Wireless Communication Techniques (56 papers). The work is most often cited by research in Aerospace Engineering (1.9k citations), Computer Networks and Communications (1.4k citations) and Electrical and Electronic Engineering (3.5k citations). David W. Matolak has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Ruoyu Sun, Indranil Sen, Bo Ai, Avinash Karanth, Savaş Kaya, William Rayess, İsmail Güvenç, Wenhui Xiong, Zhangdui Zhong and Dominic DiTomaso. Their work appears in journals such as Medicine & Science in Sports & Exercise, IEEE Access and IEEE Communications Magazine.

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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