Martin Strohmeier

2.9k citations
85 papers · 1.6k · h-index 19

Impact in

Papers in

Martin Strohmeier

73 papers receiving 1.5k citations

Peers

Martin Strohmeier
Comparison fields: 5 of 81
  • Aerospace Engineering 1.1k
  • General Economics, Econometrics and Finance 151
  • Artificial Intelligence 422
  • Computer Networks and Communications 289
  • Safety, Risk, Reliability and Quality 97
Replace Yanbo Zhu with:
Yanbo Zhu China
Xavier Olivé France
Valentin Polishchuk United States
Junzi Sun Netherlands
Banavar Sridhar United States
Eduardo Ogasawara Brazil
Heinz Erzberger United States
Tejas G. Puranik United States
Rami Mangoubi United States
Philippe Baptiste France
Martin Strohmeier relative to Yanbo Zhu China Yanbo Zhu's profile →
Citations per field
00.5×3.7×
Yanbo Zhu · 1×
Citations per year

Countries citing papers authored by Martin Strohmeier

Since Specialization
Citations

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

Fields of papers citing papers by Martin Strohmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014248
2 2014221
3 2014200
4 2014139
5 201669
6 201952
7 202041
8 202140
9 201534
10 201831
11 202231
12 201630
13
Security of ADS-B: State of the Art and Beyond
201325
14 202325
15 201624
16 201524
17 201820
18 201520
19 200318
20 202117

About Martin Strohmeier

Martin Strohmeier is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Artificial Intelligence, General Economics, Econometrics and Finance and Computer Networks and Communications, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include Air Traffic Management and Optimization (49 papers), Vehicular Ad Hoc Networks (VANETs) (21 papers), UAV Applications and Optimization (21 papers), Aviation Industry Analysis and Trends (16 papers), Satellite Communication Systems (9 papers), Cryptographic Implementations and Security (7 papers), Human-Automation Interaction and Safety (6 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Aerospace Engineering (1.1k citations), General Economics, Econometrics and Finance (151 citations), Artificial Intelligence (422 citations), Computer Networks and Communications (289 citations) and Safety, Risk, Reliability and Quality (97 citations). Martin Strohmeier has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Vincent Lenders, Ivan Martinović, Mathias Schäfer, Matthias Wilhelm, Markus Fuchs, Xavier Olivé, Daniel Moser, Markus Engel, Mauro Leonardi and Laurent Vanbever. Their work appears in journals such as IEEE Communications Magazine, Pervasive and Mobile Computing, European journal of transport and infrastructure research, ACM Transactions on Privacy and Security and Earth system science data.

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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