Michael Meier

32 papers receiving 348 citations

Peers

Michael Meier
Comparison fields: 5 of 72
  • Microbiology 91
  • Signal Processing 98
  • Molecular Medicine 44
  • Microbiology 4
  • Computer Networks and Communications 117
Replace Sriram Padmanabhan with:
Sriram Padmanabhan India
Tobias Petri Germany
Syed Fahad Tahir Pakistan
Sabita Khatri Nepal
René Quiniou France
Reinhard Schwarz Germany
Manuel Rodríguez-Martínez Puerto Rico
Thomas Conway Australia
Michael Meier relative to Sriram Padmanabhan India Sriram Padmanabhan's profile →
Citations per field
00.5×2.9×
Sriram Padmanabhan · 1×
Citations per year

Countries citing papers authored by Michael Meier

Since Specialization
Citations

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

Fields of papers citing papers by Michael Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198261
2 198650
3 201649
4 202227
5 200927
6 202125
7 198624
8 201721
9 200914
10 202311
11 201510
12 19829
13 20147
14
Envisioning Smart Building Botnets.
20144
15 19844
16
Towards suppressing attacks on and improving resilience of building automation systems - an approach exemplified using bacnet
20143
17 20213
18 19833
19
Early Warning System on a National Level - Project AMSEL †
20092
20 20202

About Michael Meier

Michael Meier is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Plant Science, having authored 38 papers that have together received 379 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (20 papers), Advanced Malware Detection Techniques (15 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Information and Cyber Security (6 papers), Anomaly Detection Techniques and Applications (5 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Pneumonia and Respiratory Infections (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Microbiology (91 citations), Signal Processing (98 citations), Molecular Medicine (44 citations), Microbiology (4 citations) and Computer Networks and Communications (117 citations). Michael Meier has collaborated with scholars based in Germany and United States. Frequent co-authors include James Brunton, Debra A. Clare, Ulrich Flegel, Christian Bockermann, L Slaney, W L Albritton, Sven Dietrich, Christian Gehl, Michalis Polychronakis and Martha Lopez‐Guerrero. Their work appears in journals such as Journal für die reine und angewandte Mathematik (Crelles Journal), Proceedings of the American Mathematical Society, Clinical Infectious Diseases, Journal of Bacteriology and International Journal of Information Security.

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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