Countries citing papers authored by Werner Scheinhardt
Since
Specialization
Citations
This map shows the geographic impact of Werner Scheinhardt'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 Werner Scheinhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Werner Scheinhardt more than expected).
Fields of papers citing papers by Werner Scheinhardt
This network shows the impact of papers produced by Werner Scheinhardt. 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 Werner Scheinhardt. The network helps show where Werner Scheinhardt may publish in the future.
Co-authorship network of co-authors of Werner Scheinhardt
This figure shows the co-authorship network connecting the top 25 collaborators of Werner Scheinhardt.
A scholar is included among the top collaborators of Werner Scheinhardt 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 Werner Scheinhardt. Werner Scheinhardt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
O’Reilly, Małgorzata M. & Werner Scheinhardt. (2016). Analysis of tandem fluid queues. eCite Digital Repository (University of Tasmania). 85–92.1 indexed citations
Scheinhardt, Werner, et al.. (2009). Backpressure-based control protocols: design and computational aspects. UvA-DARE (University of Amsterdam). 1–12.1 indexed citations
Scheinhardt, Werner, et al.. (2008). State-dependent importance sampling for a Jackson tandem network. Data Archiving and Networked Services (DANS). 1–31.
8.
Mandjes, Michel, et al.. (2008). Design issues of a back-pressure-based congestion control mechanism. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–17.1 indexed citations
9.
Boer, Pieter-Tjerk de & Werner Scheinhardt. (2007). Alternative proof with interpretations for a recent state-dependent importance sampling scheme. Data Archiving and Networked Services (DANS).2 indexed citations
10.
Scheinhardt, Werner, et al.. (2007). Tandem queue with server slow-down. ACM SIGMETRICS Performance Evaluation Review. 35(3). 51–52.2 indexed citations
11.
Foreest, Nicky D. van, Boudewijn R. Haverkort, Michel Mandjes, & Werner Scheinhardt. (2004). Versatile Markovian models for networks with asymmetric TCP sources.4 indexed citations
Aalto, Samuli & Werner Scheinhardt. (1999). Tandem fluid queues fed by homogeneous on-off sources. TU/e Research Portal (Eindhoven University of Technology). 99022.1 indexed citations
16.
Kroese, Dirk P. & Werner Scheinhardt. (1997). A Markov-modulated fluid system with two interacting reservoirs. Data Archiving and Networked Services (DANS).2 indexed citations
17.
Adan, Ivo, Erik A. van Doorn, Jacques Resing, & Werner Scheinhardt. (1997). Analysis of a single-server queue interacting with a fluid reservoir. TU/e Research Portal (Eindhoven University of Technology). 9720.1 indexed citations
18.
Scheinhardt, Werner & Dirk P. Kroese. (1997). A system of fluid queues with feedback. Data Archiving and Networked Services (DANS).1 indexed citations
19.
Kroese, Dirk P. & Werner Scheinhardt. (1996). A fluid queue driven by a fluid queue. University of Twente Research Information. 389–400.2 indexed citations
20.
Doorn, Erik A. van & Werner Scheinhardt. (1996). Analysis of birth-death fluid queues. University of Twente Research Information. 13–29.9 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.