Simon Eismann
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- Software System Performance and Reliability 27
- IoT and Edge/Fog Computing 9
- Software-Defined Networks and 5G 5
- Information Systems top 2%
- Cloud Computing and Resource Management 20
- Software Engineering Research 6
- Blockchain Technology Applications and Security 3
- Software top 10%
- Software Reliability and Analysis Research 7
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- Advanced Software Engineering Methodologies 10
- Co-authors
- Johannes GrohmannSamuel KounevNikolas HerbstCristina L. AbadErwin van EykAlexandru IosupAndré BauerJóakim von Kistowski
- Journals
- Journal of Systems and Software (2 papers)IEEE Internet Computing (1 paper)IEEE Transactions on Software Engineering (1 paper)
- Partner nations
- GermanyEcuadorNetherlands
In The Last Decade
Simon Eismann
34 papers receiving 538 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 479
- Information Systems 455
- Software 51
- Information Systems and Management 29
- Management Information Systems 32
Countries citing papers authored by Simon Eismann
This map shows the geographic impact of Simon Eismann'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 Simon Eismann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Eismann more than expected).
Fields of papers citing papers by Simon Eismann
This network shows the impact of papers produced by Simon Eismann. 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 Simon Eismann. The network helps show where Simon Eismann may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Simon Eismann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 58 | |
| 2 | 2021 | 12 | |
| 3 | 2021 | 52 | |
| 4 | 2020 | 31 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 39 | |
| 12 | 2019 | 2 | |
| 13 | Black-box Learning of Parametric Dependencies for Performance Models | 2018 | 3 |
| 14 | 2018 | 1 | |
| 15 | 2018 | 3 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 50 | |
| 18 | 2018 | 8 | |
| 19 | Providing Model-Extraction-as-a-Service for Architectural Performance Models. | 2017 | 2 |
| 20 | PAVO: A Framework for the Visualization of Performance Analyses Results | 2016 | 1 |
About Simon Eismann
Simon Eismann is a scholar working on Software, Computer Networks and Communications and Information Systems, having authored 36 papers that have together received 555 indexed citations. Recurring topics across this work include Software System Performance and Reliability (27 papers), Cloud Computing and Resource Management (20 papers), Advanced Software Engineering Methodologies (10 papers), IoT and Edge/Fog Computing (9 papers), Software Reliability and Analysis Research (7 papers), Software Engineering Research (6 papers), Software-Defined Networks and 5G (5 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Computer Networks and Communications (479 citations), Information Systems (455 citations) and Software (51 citations). Simon Eismann has collaborated with scholars based in Germany, Ecuador and Netherlands. Frequent co-authors include Johannes Grohmann, Samuel Kounev, Nikolas Herbst, Cristina L. Abad, Erwin van Eyk, Alexandru Iosup, André Bauer, Jóakim von Kistowski, Joel Scheuner and Cor‐Paul Bezemer. Their work appears in journals such as Journal of Systems and Software, IEEE Internet Computing, IEEE Transactions on Software Engineering, ACM Transactions on Autonomous and Adaptive Systems and Softwaretechnik-Trends.
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.