Countries citing papers authored by Jonas Pfefferle
Since
Specialization
Citations
This map shows the geographic impact of Jonas Pfefferle'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 Jonas Pfefferle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Pfefferle more than expected).
This network shows the impact of papers produced by Jonas Pfefferle. 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 Jonas Pfefferle. The network helps show where Jonas Pfefferle may publish in the future.
Co-authorship network of co-authors of Jonas Pfefferle
This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Pfefferle.
A scholar is included among the top collaborators of Jonas Pfefferle 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 Jonas Pfefferle. Jonas Pfefferle is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Didona, Diego, Jonas Pfefferle, Nikolas Ioannou, Bernard Metzler, & Animesh Trivedi. (2022). Understanding modern storage APIs. VU Research Portal. 120–127.20 indexed citations
Stuedi, Patrick, et al.. (2019). Unification of temporary storage in the nodekernel architecture. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 767–782.10 indexed citations
5.
Klimovic, Ana, et al.. (2018). Understanding ephemeral storage for serverless analytics. USENIX Annual Technical Conference. 789–794.41 indexed citations
6.
Trivedi, Animesh, et al.. (2018). Albis: high-performance file format for big data systems. USENIX Annual Technical Conference. 615–629.11 indexed citations
Trivedi, Animesh, Nikolas Ioannou, Bernard Metzler, et al.. (2018). FlashNet. ACM Transactions on Storage. 14(4). 1–29.7 indexed citations
9.
Stuedi, Patrick, Animesh Trivedi, Jonas Pfefferle, et al.. (2017). Crail: A High-Performance I/O Architecture for Distributed Data Processing.. IEEE Data(base) Engineering Bulletin. 40. 38–49.34 indexed citations
10.
Trivedi, Animesh, Nikolas Ioannou, Bernard Metzler, et al.. (2017). FlashNet. 1–14.3 indexed citations
11.
Trivedi, Animesh, Patrick Stuedi, Jonas Pfefferle, et al.. (2016). On the [ir]relevance of network performance for data processing. IEEE International Conference on Cloud Computing Technology and Science. 126–131.17 indexed citations
Stuedi, Patrick, Animesh Trivedi, Bernard Metzler, & Jonas Pfefferle. (2014). DaRPC. 1–13.36 indexed citations
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.