Martin Burkhart
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Rogert WattenhoferPascal von RickenbachAaron ZollingerXenofontas DimitropoulosMario StrasserDominik SchatzmannBrian TrammellBernhard Plattner
- Topics
- Privacy-Preserving Technologies in Data (7 papers)Internet Traffic Analysis and Secure E-voting (5 papers)Cryptography and Data Security (4 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputational Theory and Mathematics
- Journals
- ACM SIGCOMM Computer Communication ReviewComputer NetworksACM Transactions on Information and System Security
- Partner nations
- SwitzerlandItalyAustria
In The Last Decade
Martin Burkhart
10 papers receiving 517 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 376
- Artificial Intelligence 256
- Electrical and Electronic Engineering 82
- Information Systems 47
- Computational Theory and Mathematics 42
Countries citing papers authored by Martin Burkhart
This map shows the geographic impact of Martin Burkhart'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 Burkhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Burkhart more than expected).
Fields of papers citing papers by Martin Burkhart
This network shows the impact of papers produced by Martin Burkhart. 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 Burkhart. The network helps show where Martin Burkhart may publish in the future.
Co-authorship network of co-authors of Martin Burkhart
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Burkhart. A scholar is included among the top collaborators of Martin Burkhart 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 Burkhart. Martin Burkhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | How to Protect Data Privacy in Collaborative Network Security. | 1 |
| 3 | 32 | |
| 4 | Reduce to the max: a simple approach for massive-scale privacy-preserving collaborative network measurements | 2 |
| 5 | 24 | |
| 6 | 154 | |
| 7 | 42 | |
| 8 | 15 | |
| 9 | 8 | |
| 10 | 276 |
About Martin Burkhart
Martin Burkhart is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 10 papers that have together received 555 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Computer Networks and Communications (376 citations), Artificial Intelligence (256 citations) and Computational Theory and Mathematics (42 citations). Martin Burkhart has collaborated with scholars based in Switzerland, Italy and Austria. Frequent co-authors include Rogert Wattenhofer, Pascal von Rickenbach, Aaron Zollinger, Xenofontas Dimitropoulos, Mario Strasser, Dominik Schatzmann, Brian Trammell, Bernhard Plattner, Bernhard Tellenbach and Didier Sornette. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Computer Networks and ACM Transactions on Information and System 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.