William H. Sanders

5.8k total citations
138 papers, 3.5k citations indexed

About

William H. Sanders is a scholar working on Computer Networks and Communications, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, William H. Sanders has authored 138 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Networks and Communications, 40 papers in Information Systems and 30 papers in Computational Theory and Mathematics. Recurrent topics in William H. Sanders's work include Network Security and Intrusion Detection (36 papers), Petri Nets in System Modeling (27 papers) and Smart Grid Security and Resilience (26 papers). William H. Sanders is often cited by papers focused on Network Security and Intrusion Detection (36 papers), Petri Nets in System Modeling (27 papers) and Smart Grid Security and Resilience (26 papers). William H. Sanders collaborates with scholars based in United States, Germany and Singapore. William H. Sanders's co-authors include Robin Berthier, David M. Nicol, Kishor S. Trivedi, Saman Zonouz, Himanshu Khurana, Salem Derisavi, John F. Meyer, Daniel D. Deavours, Rakesh B. Bobba and Tod Courtney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and American Journal of Public Health.

In The Last Decade

William H. Sanders

133 papers receiving 3.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William H. Sanders United States 30 1.8k 1.0k 932 704 610 138 3.5k
Sandeep K. Shukla United States 26 1.1k 0.6× 615 0.6× 436 0.5× 378 0.5× 1.1k 1.8× 296 3.0k
Andrea Bondavalli Italy 23 1.0k 0.6× 315 0.3× 396 0.4× 558 0.8× 267 0.4× 236 2.1k
Aditya P. Mathur United States 38 2.1k 1.2× 1.3k 1.3× 1.9k 2.1× 1.7k 2.4× 311 0.5× 160 5.0k
Boudewijn R. Haverkort Netherlands 24 939 0.5× 267 0.3× 281 0.3× 432 0.6× 526 0.9× 176 2.6k
Neeraj Suri Germany 26 1.5k 0.8× 145 0.1× 717 0.8× 415 0.6× 546 0.9× 210 2.4k
Demosthenis Teneketzis United States 34 1.9k 1.1× 1.4k 1.3× 163 0.2× 855 1.2× 785 1.3× 170 5.3k
Ali Movaghar Iran 27 2.0k 1.1× 101 0.1× 819 0.9× 527 0.7× 694 1.1× 280 3.0k
Manimaran Govindarasu United States 32 3.0k 1.7× 2.6k 2.6× 776 0.8× 912 1.3× 1.7k 2.7× 202 4.7k
Xiaoyu Song United States 27 658 0.4× 179 0.2× 350 0.4× 1.1k 1.6× 899 1.5× 271 2.9k
Lars Michael Kristensen Norway 13 930 0.5× 168 0.2× 675 0.7× 410 0.6× 306 0.5× 80 2.5k

Countries citing papers authored by William H. Sanders

Since Specialization
Citations

This map shows the geographic impact of William H. Sanders'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 William H. Sanders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William H. Sanders more than expected).

Fields of papers citing papers by William H. Sanders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Sanders. 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 William H. Sanders. The network helps show where William H. Sanders may publish in the future.

Co-authorship network of co-authors of William H. Sanders

This figure shows the co-authorship network connecting the top 25 collaborators of William H. Sanders. A scholar is included among the top collaborators of William H. Sanders 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 William H. Sanders. William H. Sanders 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.
Sanders, William H., et al.. (2019). Data Protection Intents for Software-Defined Networking. 271–275. 12 indexed citations
2.
Gunter, Carl A., et al.. (2018). Evaluating Detectors on Optimal Attack Vectors That Enable Electricity Theft and DER Fraud. IEEE Journal of Selected Topics in Signal Processing. 12(4). 790–805. 67 indexed citations
3.
Keefe, Ken, et al.. (2015). Enterprise Security Metrics with the ADVISE Meta Model Formalism. 65–66. 4 indexed citations
4.
Hussain, Alefiya, Ted Faber, Robert Braden, et al.. (2014). Enabling Collaborative Research for Security and Resiliency of Energy Cyber Physical Systems. 358–360. 2 indexed citations
5.
Chen, Shuyi, Kaustubh Joshi, Matti Hiltunen, Richard D. Schlichting, & William H. Sanders. (2011). Using Link Gradients to Predict the Impact of Network Latency on Multitier Applications. IEEE/ACM Transactions on Networking. 19(3). 855–868. 1 indexed citations
6.
Joshi, Kaustubh, Matti Hiltunen, William H. Sanders, & Richard D. Schlichting. (2010). Probabilistic Model-Driven Recovery in Distributed Systems. IEEE Transactions on Dependable and Secure Computing. 8(6). 913–928. 13 indexed citations
7.
Gaonkar, Shravan & William H. Sanders. (2009). G-SSASC: simultaneous simulation of system models with bounded hazard rates. Winter Simulation Conference. 663–673. 1 indexed citations
8.
Sanders, William H., et al.. (2008). Modeling Peer-to-Peer Botnets. 307–316. 27 indexed citations
9.
Sanders, William H., et al.. (2008). Automatic Verification of Distributed and Layered Security Policy Implementations. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 2 indexed citations
10.
Nicol, David M., et al.. (2007). Modeling and analysis of worm defense using stochastic activity networks. Spring Simulation Multiconference. 349–355. 1 indexed citations
11.
12.
Gaonkar, Shravan, Tod Courtney, & William H. Sanders. (2006). Efficient state management to speed up simultaneous simulation of alternate system configurations. 31–36. 1 indexed citations
13.
Lam, Vinh, Peter Buchholz, & William H. Sanders. (2005). A component-level path-based simulation approach for efficient analysis of large Markov models. Winter Simulation Conference. 584–590. 2 indexed citations
14.
Sharma, Anil, et al.. (2004). Ferret: a host vulnerability checking tool. 389–394. 4 indexed citations
15.
Daly, David, et al.. (1999). Möbius: An Extensible Framework For Performance and Dependability Modeling. 3 indexed citations
16.
Kant, Latha & William H. Sanders. (1997). Analysis of the distribution of consecutive cell losses in an ATM switch using stochastic activity networks. Computer Systems: Science & Engineering. 12(2). 117–129. 4 indexed citations
17.
Moorsel, A.P.A. van & William H. Sanders. (1997). Transient solution of Markov models by combining adaptive and standard uniformization. IEEE Transactions on Reliability. 46(3). 430–440. 33 indexed citations
18.
Sanders, William H., et al.. (1988). The Successful Coping Strategies--The Answer to Teacher Stress?.. 110(10). 1133 passim–1133 passim. 2 indexed citations
19.
Sanders, William H. & John F. Meyer. (1988). Construction and solution of performability models based on stochastic activity networks.. Deep Blue (University of Michigan). 47 indexed citations
20.
Sanders, William H. & John F. Meyer. (1987). Performability Evaluation of Distributed Systems Using Stochastic Activity Networks. 111–125. 12 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.

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