Martin Rost

26 papers receiving 225 citations

Peers

Martin Rost
Comparison fields: 5 of 69
  • Sociology and Political Science 82
  • Artificial Intelligence 59
  • Computer Vision and Pattern Recognition 55
  • Information Systems 54
  • Signal Processing 45
Replace Michael Seadle with:
Michael Seadle Germany
Matthew Green United States
Andrea Cimino Italy
Lilian Mitrou Greece
Nick J. Avis United Kingdom
Saatviga Sudhahar United Kingdom
Darius Pfitzner Australia
Traian Rebedea Romania
Masnizah Mohd Malaysia
Kanthashree Mysore Sathyendra United States
Martin Rost relative to Michael Seadle Germany Michael Seadle's profile →
Citations per field
00.5×2.8×
Michael Seadle · 1×
Citations per year

Countries citing papers authored by Martin Rost

Since Specialization
Citations

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

Fields of papers citing papers by Martin Rost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Rost

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Rost. A scholar is included among the top collaborators of Martin Rost 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 Martin Rost. Martin Rost 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 3
2 0
3 0
4 17
5 3
6 3
7 1
8 3
9 1
10 15
11 4
12 19
13 0
14
Nutzerkontrollierte Verkettung - Pseudonyme, Credentials, Protokolle für Identitätsmanagement.
1
15
Datenschutzaspekte von Identitätsmanagementsystemen - Recht und Praxis in Europa.
2
16 24
17 6
18 1
19
A robust compression system for low bit rate telemetry: Test results with lunar data
1
20 39

About Martin Rost

Martin Rost is a scholar working on Law, Computer Vision and Pattern Recognition and Museology, having authored 32 papers that have together received 258 indexed citations. Recurring topics across this work include Digitalization, Law, and Regulation (11 papers), Medical and Health Sciences Research (7 papers) and Privacy, Security, and Data Protection (6 papers). The work is most often cited by research in Signal Processing (45 citations), Computer Vision and Pattern Recognition (55 citations) and Law (26 citations). Martin Rost has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Marit Hansen, Khalid Sayood, Meiko Jensen, Jerry D. Gibson, Joachim Krug, Andreas Pfitzmann, Birgit Renzl, Christine Unterhitzenberger, Ville Vuorinen and David Bryde. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and Physica D Nonlinear Phenomena.

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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