Markus Pizka
- Information Systems top 1%
- Software top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Florian DeissenboeckManfred BroyElmar JuergensBenjamin HummelStefan WagnerClaudia EckertThomas PanasMohd Hafeez Osman
- Topics
- Software Engineering Research (24 papers)Software Reliability and Analysis Research (10 papers)Advanced Software Engineering Methodologies (8 papers)
In The Last Decade
Markus Pizka
36 papers receiving 531 citations
Peers
Comparison fields: 5 of 50
- Information Systems 495
- Software 273
- Artificial Intelligence 216
- Computer Networks and Communications 139
- Signal Processing 92
Countries citing papers authored by Markus Pizka
This map shows the geographic impact of Markus Pizka'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 Markus Pizka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Pizka more than expected).
Fields of papers citing papers by Markus Pizka
This network shows the impact of papers produced by Markus Pizka. 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 Markus Pizka. The network helps show where Markus Pizka may publish in the future.
Co-authorship network of co-authors of Markus Pizka
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Pizka. A scholar is included among the top collaborators of Markus Pizka 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 Markus Pizka. Markus Pizka 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 | 3 | |
| 3 | 2 | |
| 4 | 50 | |
| 5 | 11 | |
| 6 | Similarity in Programs | 4 |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 13 | |
| 11 | Straightening Spaghetti-Code with Refactoring? | 17 |
| 12 | 3 | |
| 13 | Models, algebras and logic of engineering software | 12 |
| 14 | 2 | |
| 15 | 2 | |
| 16 | Murks - A POSIX Threads Based DSM System | 4 |
| 17 | Distributed Caching and Replication - Introduction. | 1 |
| 18 | Thread Segment Stacks. | 3 |
| 19 | Distributed Virtual Address Space Management in the MoDiS-OS | 2 |
| 20 | Evolving Software Tools for New Distributed Computing Environments. | 3 |
About Markus Pizka
Markus Pizka is a scholar working on Software, Information Systems and Hardware and Architecture, having authored 37 papers that have together received 575 indexed citations. Recurring topics across this work include Software Engineering Research (24 papers), Software Reliability and Analysis Research (10 papers) and Advanced Software Engineering Methodologies (8 papers). The work is most often cited by research in Software (273 citations), Information Systems (495 citations) and Computer Science Applications (64 citations). Markus Pizka has collaborated with scholars based in Germany, Egypt and Spain. Frequent co-authors include Florian Deissenboeck, Manfred Broy, Elmar Juergens, Benjamin Hummel, Stefan Wagner, Claudia Eckert, Thomas Panas, Mohd Hafeez Osman, Jonathan J. Streit and Alexander Pretschner. Their work appears in journals such as IEEE Software, The Journal of Supercomputing and Software Quality Journal.
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.