William R. Marczak

683 total citations
13 papers, 301 citations indexed

About

William R. Marczak is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, William R. Marczak has authored 13 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in William R. Marczak's work include Network Security and Intrusion Detection (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Cloud Data Security Solutions (4 papers). William R. Marczak is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Cloud Data Security Solutions (4 papers). William R. Marczak collaborates with scholars based in United States. William R. Marczak's co-authors include Peter Alvaro, Joseph M. Hellerstein, Neil Conway, Vern Paxson, David Maier, Boon Thau Loo, Micah Sherr, Wenchao Zhou, Tao Tao and Zhuoyao Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Networks and USENIX Security Symposium.

In The Last Decade

William R. Marczak

13 papers receiving 272 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 R. Marczak United States 8 220 153 93 43 36 13 301
Scott Oaks United Kingdom 6 177 0.8× 78 0.5× 109 1.2× 58 1.3× 37 1.0× 9 280
Luisa Massari Italy 7 153 0.7× 175 1.1× 62 0.7× 19 0.4× 30 0.8× 20 262
Sumeer Bhola United States 10 292 1.3× 181 1.2× 125 1.3× 45 1.0× 59 1.6× 23 409
David Petrou United States 5 221 1.0× 85 0.6× 78 0.8× 87 2.0× 38 1.1× 12 263
Antonino Virgillito Italy 9 352 1.6× 104 0.7× 66 0.7× 21 0.5× 25 0.7× 25 417
J. Linn United States 9 134 0.6× 101 0.7× 141 1.5× 31 0.7× 16 0.4× 16 254
Andrew W. Leung United States 9 446 2.0× 241 1.6× 83 0.9× 63 1.5× 25 0.7× 13 495
Hongyu Gao China 7 187 0.8× 176 1.2× 163 1.8× 30 0.7× 57 1.6× 21 300
Todd Mummert United States 9 273 1.2× 163 1.1× 59 0.6× 107 2.5× 43 1.2× 12 388
Fabienne Boyer France 9 177 0.8× 130 0.8× 121 1.3× 20 0.5× 13 0.4× 28 223

Countries citing papers authored by William R. Marczak

Since Specialization
Citations

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

Fields of papers citing papers by William R. Marczak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William R. Marczak

This figure shows the co-authorship network connecting the top 25 collaborators of William R. Marczak. A scholar is included among the top collaborators of William R. Marczak 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 R. Marczak. William R. Marczak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Marczak, William R. & Vern Paxson. (2017). Social Engineering Attacks on Government Opponents: Target Perspectives. SHILAP Revista de lepidopterología. 2017(2). 172–185. 8 indexed citations
2.
Marczak, William R.. (2016). Defending Dissidents from Targeted Digital Surveillance. eScholarship (California Digital Library). 1 indexed citations
3.
Marczak, William R., et al.. (2014). When governments hack opponents: a look at actors and technology. USENIX Security Symposium. 511–525. 45 indexed citations
4.
Sherr, Micah, et al.. (2013). The design and implementation of the A3 application-aware anonymity platform. Computer Networks. 58. 206–227. 2 indexed citations
5.
Alvaro, Peter, et al.. (2013). A Declarative Semantics for Dedalus. UC Berkeley. 3 indexed citations
6.
Alvaro, Peter, et al.. (2012). BloomUnit. 1–7. 12 indexed citations
7.
Conway, Neil, William R. Marczak, Peter Alvaro, Joseph M. Hellerstein, & David Maier. (2012). Logic and lattices for distributed programming. 1–14. 72 indexed citations
8.
Alvaro, Peter, Neil Conway, Joseph M. Hellerstein, & William R. Marczak. (2011). Consistency Analysis in Bloom: a CALM and Collected Approach. Conference on Innovative Data Systems Research. 249–260. 94 indexed citations
9.
Zhou, Wenchao, William R. Marczak, Tao Tao, et al.. (2010). Towards Secure Cloud Data Management. ScholarlyCommons (University of Pennsylvania). 3 indexed citations
10.
Sherr, Micah, et al.. (2010). A³: An Extensible Platform for Application-Aware Anonymity. ScholarlyCommons (University of Pennsylvania). 23 indexed citations
11.
Marczak, William R., Shan Huang, Martin Bravenboer, et al.. (2010). SecureBlox. 723–734. 9 indexed citations
12.
Zhou, Wenchao, Micah Sherr, William R. Marczak, et al.. (2010). Towards a data-centric view of cloud security. 25–32. 23 indexed citations
13.
Marczak, William R., et al.. (2009). Declarative Reconfigurable Trust Management. Conference on Innovative Data Systems Research. 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.

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