Fabian Brosig
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Software top 5%
- Management Information Systems
- Co-authors
- Samuel KounevNikolaus HuberSimon SpinnerAnne KoziolekGiuliano CasaleKlaus KrogmannRalf ReussnerAndré van Hoorn
- Topics
- Software System Performance and Reliability (20 papers)Advanced Software Engineering Methodologies (14 papers)Software Reliability and Analysis Research (8 papers)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Fabian Brosig
22 papers receiving 429 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 423
- Information Systems 323
- Artificial Intelligence 236
- Software 120
- Management Information Systems 21
Countries citing papers authored by Fabian Brosig
This map shows the geographic impact of Fabian Brosig'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 Fabian Brosig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Brosig more than expected).
Fields of papers citing papers by Fabian Brosig
This network shows the impact of papers produced by Fabian Brosig. 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 Fabian Brosig. The network helps show where Fabian Brosig may publish in the future.
Co-authorship network of co-authors of Fabian Brosig
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Brosig. A scholar is included among the top collaborators of Fabian Brosig 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 Fabian Brosig. Fabian Brosig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 30 | |
| 3 | The Descartes Modeling Language for Self-Aware Performance and Resource Management | 1 |
| 4 | 57 | |
| 5 | 6 | |
| 6 | The Descartes Modeling Language | 16 |
| 7 | 8 | |
| 8 | 42 | |
| 9 | 34 | |
| 10 | 29 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 52 | |
| 16 | 43 | |
| 17 | 8 | |
| 18 | 36 | |
| 19 | 37 | |
| 20 | Using WebLogic Diagnostics Framework to Enable Performance Prediction for Java EE Applications | 3 |
About Fabian Brosig
Fabian Brosig is a scholar working on Software, Computer Networks and Communications and Information Systems, having authored 22 papers that have together received 471 indexed citations. Recurring topics across this work include Software System Performance and Reliability (20 papers), Advanced Software Engineering Methodologies (14 papers) and Software Reliability and Analysis Research (8 papers). The work is most often cited by research in Software (120 citations), Computer Networks and Communications (423 citations) and Information Systems (323 citations). Fabian Brosig has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Samuel Kounev, Nikolaus Huber, Simon Spinner, Anne Koziolek, Giuliano Casale, Klaus Krogmann, Ralf Reussner, André van Hoorn, Heiko Koziolek and Steffen Becker. Their work appears in journals such as IEEE Transactions on Software Engineering, Computer and Science of Computer Programming.
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.