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.
Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines
2010495 citationsJames P. G. Sterbenz, David Hutchison et al.Computer Networksprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Marcus Schöller
Since
Specialization
Citations
This map shows the geographic impact of Marcus Schöller'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 Marcus Schöller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Schöller more than expected).
This network shows the impact of papers produced by Marcus Schöller. 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 Marcus Schöller. The network helps show where Marcus Schöller may publish in the future.
Co-authorship network of co-authors of Marcus Schöller
This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Schöller.
A scholar is included among the top collaborators of Marcus Schöller 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 Marcus Schöller. Marcus Schöller is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
15 of 15 papers shown
1.
Sterbenz, James P. G., Abdul Jabbar, Justin P. Rohrer, et al.. (2014). Redundancy, diversity, and connectivity to achieve multilevel network resilience, survivability, and disruption tolerance. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School).13 indexed citations
Bless, Roland, David Hutchison, Marcus Schöller, Paul J. Smith, & Markus Tauber. (2013). SECCRIT: Secure Cloud Computing for High Assurance Services. Lancaster EPrints (Lancaster University). 2013(95).1 indexed citations
Smith, Paul J., David Hutchison, James P. G. Sterbenz, et al.. (2011). Network resilience: a systematic approach. IEEE Communications Magazine. 49(7). 88–97.115 indexed citations
8.
Schöller, Marcus, Paul J. Smith, Christian Rohner, et al.. (2010). On realising a strategy for resilience in opportunistic networks. Lancaster EPrints (Lancaster University). 1–8.2 indexed citations
9.
Sterbenz, James P. G., David Hutchison, Egemen K. Çetinkaya, et al.. (2010). Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines. Computer Networks. 54(8). 1245–1265.495 indexed citations breakdown →
Conrad, Michael, et al.. (2005). Combining Service-Orientation and Peer-to-Peer Networks.. 181–184.4 indexed citations
14.
Fuhrmann, Thomas, et al.. (2003). Results on the practical feasibility of programmable network services.
15.
Hess, Adam, Marcus Schöller, Günter Schäfer, Martina Zitterbart, & Adam Wolisz. (2002). A dynamic and flexible Access Control and Resource Monitoring Mechanism for Active Nodes.2 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.