Rudolf B. Blažek
- Artificial Intelligence top 10%
- Statistics, Probability and Uncertainty top 2%
- Computer Networks and Communications top 10%
- Statistics and Probability top 5%
- Control and Systems Engineering top 10%
- Topics
- Network Security and Intrusion Detection (3 papers)Target Tracking and Data Fusion in Sensor Networks (2 papers)Advanced Statistical Process Monitoring (2 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityComputer Networks and Communications
- Journals
- IEEE Transactions on Signal ProcessingStatistical MethodologyProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Partner nations
- United StatesCzechiaSouth Korea
In The Last Decade
Rudolf B. Blažek
8 papers receiving 335 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 146
- Statistics, Probability and Uncertainty 142
- Computer Networks and Communications 130
- Statistics and Probability 95
- Control and Systems Engineering 82
Countries citing papers authored by Rudolf B. Blažek
This map shows the geographic impact of Rudolf B. Blažek'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 Rudolf B. Blažek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolf B. Blažek more than expected).
Fields of papers citing papers by Rudolf B. Blažek
This network shows the impact of papers produced by Rudolf B. Blažek. 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 Rudolf B. Blažek. The network helps show where Rudolf B. Blažek may publish in the future.
Co-authorship network of co-authors of Rudolf B. Blažek
This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf B. Blažek. A scholar is included among the top collaborators of Rudolf B. Blažek 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 Rudolf B. Blažek. Rudolf B. Blažek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 187 | |
| 6 | 129 | |
| 7 | 8 | |
| 8 | 19 |
About Rudolf B. Blažek
Rudolf B. Blažek is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Computer Networks and Communications, having authored 8 papers that have together received 351 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (3 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (142 citations), Statistics and Probability (95 citations) and Computer Networks and Communications (130 citations). Rudolf B. Blažek has collaborated with scholars based in United States, Czechia and South Korea. Frequent co-authors include Alexander G. Tartakovsky, B. L. Rozovskiĭ, Hongjoong Kim, Petr Novák, Hana Kubátová and Tomáš Čejka. Their work appears in journals such as IEEE Transactions on Signal Processing, Statistical Methodology and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.