Countries citing papers authored by Charles Killian
Since
Specialization
Citations
This map shows the geographic impact of Charles Killian'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 Charles Killian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Killian more than expected).
This network shows the impact of papers produced by Charles Killian. 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 Charles Killian. The network helps show where Charles Killian may publish in the future.
Co-authorship network of co-authors of Charles Killian
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Killian.
A scholar is included among the top collaborators of Charles Killian 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 Charles Killian. Charles Killian 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
1.
Ferguson, Andrew D., Steven D. Gribble, Chi-Yao Hong, et al.. (2021). Orion: Google's Software-Defined Networking Control Plane. Networked Systems Design and Implementation. 83–98.8 indexed citations
Seibert, Jeff, et al.. (2013). A platform for finding attacks in unmodified implementations of intrusion tolerant systems. 14.1 indexed citations
4.
Gu, Rui, et al.. (2013). EventWave. 1–16.25 indexed citations
5.
Seibert, Jeff, et al.. (2012). Gatling: Automatic Attack Discovery in Large-Scale Distributed Systems.. Network and Distributed System Security Symposium. 16.10 indexed citations
6.
Killian, Charles, et al.. (2012). Composable reliability for asynchronous systems. USENIX Annual Technical Conference. 3–3.13 indexed citations
7.
Nagaraj, Karthik, Charles Killian, & Jennifer Neville. (2012). Structured comparative analysis of systems logs to diagnose performance problems. Purdue e-Pubs (Purdue University System). 26–26.167 indexed citations
Vahdat, Amin & Charles Killian. (2008). Systems and language support for building correct, high performance distributed systems.1 indexed citations
14.
Killian, Charles, James W. Anderson, Ranjit Jhala, & Amin Vahdat. (2007). Life, Death, and the Critical Transition: Finding Liveness Bugs in Systems Code (Awarded Best Paper).. Networked Systems Design and Implementation.24 indexed citations
15.
Killian, Charles, James W. Anderson, Ranjit Jhala, & Amin Vahdat. (2007). Life, death, and the critical transition: finding liveness bugs in systems code. 18–18.146 indexed citations
16.
Killian, Charles, James W. Anderson, Ryan Braud, Ranjit Jhala, & Amin Vahdat. (2007). Mace. ACM SIGPLAN Notices. 42(6). 179–188.10 indexed citations
17.
Reynolds, Patrick, Charles Killian, Janet L. Wiener, et al.. (2006). Pip: detecting the unexpected in distributed systems. 9–9.227 indexed citations
18.
Kostić, Dejan, Ryan Braud, Charles Killian, et al.. (2005). Maintaining high bandwidth under dynamic network conditions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 14–14.70 indexed citations
19.
Reynolds, Patrick, Janet L. Wiener, Jeffrey C. Mogul, et al.. (2005). Experiences with Pip. 1–2.2 indexed citations
20.
Rodriguez, Adolfo, Charles Killian, Sooraj Bhat, Dejan Kostić, & Amin Vahdat. (2004). MACEDON: methodology for automatically creating, evaluating, and designing overlay networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 20–20.71 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.