Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Resource Management in Clouds: Survey and Research Challenges
2014375 citationsRolf Stadler et al.Journal of Network and Systems Managementprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Rolf Stadler'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 Rolf Stadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rolf Stadler more than expected).
This network shows the impact of papers produced by Rolf Stadler. 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 Rolf Stadler. The network helps show where Rolf Stadler may publish in the future.
Co-authorship network of co-authors of Rolf Stadler
This figure shows the co-authorship network connecting the top 25 collaborators of Rolf Stadler.
A scholar is included among the top collaborators of Rolf Stadler 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 Rolf Stadler. Rolf Stadler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Villaça, Rodolfo da Silva & Rolf Stadler. (2021). Online Learning under Resource Constraints. Integrated Network Management. 134–142.3 indexed citations
5.
Moradi, Farnaz, Rolf Stadler, & Andreas Johnsson. (2019). Performance Prediction in Dynamic Clouds using Transfer Learning. Immunotechnology. 242–250.15 indexed citations
Stadler, Rolf, et al.. (2018). Predicting Distributions of Service Metrics using Neural Networks. 45–53.4 indexed citations
8.
Stadler, Rolf, et al.. (2013). A query language for network search. KTH Publication Database DiVA (KTH Royal Institute of Technology). 109–117.9 indexed citations
9.
Stadler, Rolf, et al.. (2013). Real-time search in clouds. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1070–1071.2 indexed citations
Palmskog, Karl, A. Prieto, Cătălin Meiroşu, Rolf Stadler, & Mads Dam. (2010). Scalable metadata-directed search in a network of information. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–8.5 indexed citations
Burgess, Mark, et al.. (2007). Network patterns in cfengine and scalable data aggregation. USENIX Large Installation Systems Administration Conference. 22.2 indexed citations
16.
Stadler, Rolf, et al.. (2006). Implementation and evaluation of a middleware for self-organizing decentralized web services. Integrated Network Management. 3996. 1–14.9 indexed citations
17.
Stadler, Rolf & Mehmet Ulema. (2002). NOMS 2002 : 2002 IEEE/IFIP Network Operations and Management Symposium : management solutions for the new communications world.1 indexed citations
Lazar, Aurel A., et al.. (1997). Integrated network management V : integrated management in a virtual world : proceedings of the Fifth IFIP/IEEE International Symposium on Integrated Network Management, San Diego, California, U.S.A, May 12-16, 1997. Chapman & Hall eBooks.13 indexed citations
20.
Chan, Mun Choon, G. Pacifici, & Rolf Stadler. (1997). Managing Multimedia Network Services. Journal of Network and Systems Management. 5(3). 257–282.6 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.