M. Kraetzl
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Horst BunkeW. D. WallisNigel BeanMiltos D. GrammatikakisDirk P. KroeseJop F. SibeynD. Frank HsuMoses O. Tadé
- Topics
- Interconnection Networks and Systems (12 papers)Graph Theory and Algorithms (7 papers)Complex Network Analysis Techniques (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsSafety, Risk, Reliability and Quality
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
M. Kraetzl
35 papers receiving 405 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 172
- Artificial Intelligence 139
- Statistical and Nonlinear Physics 105
- Computer Vision and Pattern Recognition 93
- Electrical and Electronic Engineering 66
Countries citing papers authored by M. Kraetzl
This map shows the geographic impact of M. Kraetzl'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 M. Kraetzl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kraetzl more than expected).
Fields of papers citing papers by M. Kraetzl
This network shows the impact of papers produced by M. Kraetzl. 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 M. Kraetzl. The network helps show where M. Kraetzl may publish in the future.
Co-authorship network of co-authors of M. Kraetzl
This figure shows the co-authorship network connecting the top 25 collaborators of M. Kraetzl. A scholar is included among the top collaborators of M. Kraetzl 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 M. Kraetzl. M. Kraetzl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | Using graph diameter for change detection in dynamic networks. | 12 |
| 5 | A Graph-Theoretic Approach to Enterprise Network Dynamics (Progress in Computer Science and Applied Logic (PCS)) | 20 |
| 6 | 3 | |
| 7 | 58 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | Parallel System Communications and Interconnections | 2 |
| 14 | 23 | |
| 15 | 0 | |
| 16 | Simulations of Crossbar Switches for Parallel Systems. | 1 |
| 17 | Fast Solutions for Consecutive 2-out-of-r-from-n: F System | 2 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 5 |
About M. Kraetzl
M. Kraetzl is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Safety, Risk, Reliability and Quality, having authored 39 papers that have together received 448 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (12 papers), Graph Theory and Algorithms (7 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (105 citations), Computer Networks and Communications (172 citations) and Safety, Risk, Reliability and Quality (46 citations). M. Kraetzl has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Horst Bunke, W. D. Wallis, Nigel Bean, Miltos D. Grammatikakis, Dirk P. Kroese, Jop F. Sibeyn, D. Frank Hsu, Moses O. Tadé, Matthew E. Gaston and Charles J. Colbourn. Their work appears in journals such as IEEE Transactions on Communications, Pattern Recognition and IEEE Transactions on Computers.
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.