Nane Kratzke

738 total citations
29 papers, 360 citations indexed

About

Nane Kratzke is a scholar working on Information Systems, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Nane Kratzke has authored 29 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 14 papers in Computer Networks and Communications and 5 papers in Management Information Systems. Recurrent topics in Nane Kratzke's work include Cloud Computing and Resource Management (14 papers), IoT and Edge/Fog Computing (10 papers) and Software System Performance and Reliability (6 papers). Nane Kratzke is often cited by papers focused on Cloud Computing and Resource Management (14 papers), IoT and Edge/Fog Computing (10 papers) and Software System Performance and Reliability (6 papers). Nane Kratzke collaborates with scholars based in Germany, United Kingdom and Finland. Nane Kratzke's co-authors include Magnus Westerlund, Robert Siegfried, Max Krüger, Eddy Truyen, Ulrike Lechner, Dimitri Van Landuyt, Bert Lagaisse, Wouter Joosen, Hans‐Peter Howaldt and Matthias Weigold and has published in prestigious journals such as IEEE Access, Applied Sciences and Journal of Systems and Software.

In The Last Decade

Nane Kratzke

23 papers receiving 338 citations

Peers

Nane Kratzke
Indika Kumara Netherlands
Janaka Balasooriya United States
Ralph Retter Germany
Patrick Goldsack United Kingdom
Martin Kleppmann United Kingdom
Indika Kumara Netherlands
Nane Kratzke
Citations per year, relative to Nane Kratzke Nane Kratzke (= 1×) peers Indika Kumara

Countries citing papers authored by Nane Kratzke

Since Specialization
Citations

This map shows the geographic impact of Nane Kratzke'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 Nane Kratzke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nane Kratzke more than expected).

Fields of papers citing papers by Nane Kratzke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nane Kratzke. 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 Nane Kratzke. The network helps show where Nane Kratzke may publish in the future.

Co-authorship network of co-authors of Nane Kratzke

This figure shows the co-authorship network connecting the top 25 collaborators of Nane Kratzke. A scholar is included among the top collaborators of Nane Kratzke 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 Nane Kratzke. Nane Kratzke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Kratzke, Nane. (2023). How to Find Orchestrated Trolls? A Case Study on Identifying Polarized Twitter Echo Chambers. Computers. 12(3). 57–57. 5 indexed citations
3.
Kratzke, Nane. (2023). Cloud-native Computing.
4.
Kratzke, Nane. (2022). Cloud-Native Observability: The Many-Faceted Benefits of Structured and Unified Logging—A Multi-Case Study. Future Internet. 14(10). 274–274. 11 indexed citations
5.
Howaldt, Hans‐Peter, et al.. (2021). USING GAMIFICATION ON THE SHOP FLOOR FOR PROCESS OPTIMIZATION IN MACHINING PRODUCTION. MM Science Journal. 2021(5). 5154–5159. 3 indexed citations
6.
Kratzke, Nane. (2021). Cloud-native Computing.
7.
Kratzke, Nane & Robert Siegfried. (2020). Towards cloud-native simulations – lessons learned from the front-line of cloud computing. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 18(1). 39–58. 15 indexed citations
8.
Truyen, Eddy, Nane Kratzke, Dimitri Van Landuyt, Bert Lagaisse, & Wouter Joosen. (2020). Managing Feature Compatibility in Kubernetes: Vendor Comparison and Analysis. IEEE Access. 8. 228420–228439. 7 indexed citations
12.
Kratzke, Nane, et al.. (2015). How to Operate Container Clusters more Efficiently? Some Insights Concerning Containers, Software-Defined-Networks, and their sometimes Counterintuitive Impact on Network Performance. 8. 203–214. 2 indexed citations
13.
Kratzke, Nane. (2015). About Microservices, Containers and their Underestimated Impact on Network Performance. arXiv (Cornell University). 165–169. 24 indexed citations
14.
Kratzke, Nane. (2014). Lightweight Virtualization Cluster How to Overcome Cloud Vendor Lock-In. Journal of Computer and Communications. 2(12). 1–7. 15 indexed citations
16.
Kratzke, Nane. (2011). CLOUD-BASED IT MANAGEMENT IMPACTS - Qualitative Weaknesses and Strengths of Clouds. 145–151. 1 indexed citations
17.
Kratzke, Nane, et al.. (2009). How do system and enterprise architectures influence knowledge management in software projects? - An explorative study of six software projects. EMISA FORUM. 69–82. 3 indexed citations
18.
Krüger, Max & Nane Kratzke. (2009). Monitoring of reliability in Bayesian identification. International Conference on Information Fusion. 1241–1248. 7 indexed citations
19.
Kratzke, Nane. (2005). Automatisierte Ableitung von Personen- und Organisationsbezogenem Ausbildungsbedarf mittels Modellbasierter Verfahren.. DeLFI. 459–468.
20.
Kratzke, Nane. (2005). Ganzheitliche Entwicklungsbegleitung komplexer Waffensysteme der Marine. GI Jahrestagung (2). 2(1). 210–214.

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.

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