Lisa M. Marvel

1.3k total citations
39 papers, 758 citations indexed

About

Lisa M. Marvel is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Lisa M. Marvel has authored 39 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 12 papers in Signal Processing. Recurrent topics in Lisa M. Marvel's work include Security and Verification in Computing (12 papers), Advanced Malware Detection Techniques (12 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). Lisa M. Marvel is often cited by papers focused on Security and Verification in Computing (12 papers), Advanced Malware Detection Techniques (12 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). Lisa M. Marvel collaborates with scholars based in United States. Lisa M. Marvel's co-authors include Charles Boncelet, C.T. Retter, Srikanth V. Krishnamurthy, Zhiyun Qian, Patrick McDaniel, Thomas La Porta, Iulian Neamtiu, Ritu Chadha, Zhongjie Wang and Shridatt Sugrim and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE/ACM Transactions on Networking and ˜The œInternational journal of networked and distributed computing.

In The Last Decade

Lisa M. Marvel

37 papers receiving 661 citations

Peers

Lisa M. Marvel
Sun‐Young Lee South Korea
Jack Brassil United States
Morris J. Dworkin United States
George I. Davida United States
Pei-Yu Lin Taiwan
Lisa M. Marvel
Citations per year, relative to Lisa M. Marvel Lisa M. Marvel (= 1×) peers Gwoboa Horng

Countries citing papers authored by Lisa M. Marvel

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Marvel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa M. Marvel. 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 Lisa M. Marvel. The network helps show where Lisa M. Marvel may publish in the future.

Co-authorship network of co-authors of Lisa M. Marvel

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Marvel. A scholar is included among the top collaborators of Lisa M. Marvel 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 Lisa M. Marvel. Lisa M. Marvel 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.
Singh, Shailendra, Zhiyun Qian, Srikanth V. Krishnamurthy, et al.. (2020). Packet Header Obfuscation Using MIMO. IEEE/ACM Transactions on Networking. 28(4). 1712–1725. 1 indexed citations
2.
Qian, Zhiyun, et al.. (2018). Off-Path TCP Exploits of the Challenge ACK Global Rate Limit. IEEE/ACM Transactions on Networking. 26(2). 765–778. 16 indexed citations
3.
Singh, Shailendra, Zhiyun Qian, Srikanth V. Krishnamurthy, et al.. (2018). A Framework for MIMO-based Packet Header Obfuscation. 11. 1763–1771. 1 indexed citations
4.
Qian, Zhiyun, et al.. (2017). Malicious co-residency on the cloud: Attacks and defense. 39 indexed citations
5.
Qian, Zhiyun, et al.. (2016). Off-Path {TCP} Exploits: Global Rate Limit Considered Dangerous. USENIX Security Symposium. 209–225. 27 indexed citations
6.
Gottlieb, Yitzchak M., et al.. (2016). ACyDS: An adaptive cyber deception system. 800–805. 18 indexed citations
7.
Smith, Sidney C., et al.. (2016). A Theoretical Exploration of the Impact of Packet Loss on Network Intrusion Detection. ˜The œInternational journal of networked and distributed computing. 4(1). 1–1. 6 indexed citations
8.
Petracca, Giuseppe, Lisa M. Marvel, Ananthram Swami, & Trent Jaeger. (2016). Agility maneuvers to mitigate inference attacks on sensed location data. 259–264. 6 indexed citations
9.
Marvel, Lisa M., et al.. (2015). A framework to evaluate cyber agility. 31–36. 7 indexed citations
10.
Lu, Zhuo, Lisa M. Marvel, & Cliff Wang. (2015). To Be Proactive or Not. 85–93. 1 indexed citations
11.
McDaniel, Patrick, Trent Jaeger, Thomas La Porta, et al.. (2014). Security and Science of Agility. 13–19. 9 indexed citations
12.
Neamtiu, Iulian, et al.. (2014). Towards self-healing smartphone software via automated patching. 623–628. 21 indexed citations
13.
Boncelet, Charles, et al.. (2011). Detecting clustering in binary sequences. 1–4.
14.
Marvel, Lisa M., et al.. (2009). Using XACML for Embedded and Fine-Grained Access Control Policy. 2000. 462–468. 6 indexed citations
15.
Marvel, Lisa M., Brian J. Henz, & Charles Boncelet. (2008). Fusing rate-specific SVM Classifiers for ±1 embedding steganalysis. 361–364. 1 indexed citations
16.
Pollock, Lori, et al.. (2006). Towards the Safe Use of Dynamically Transformed Itinerant Software. 186. 1–7.
17.
Marvel, Lisa M., et al.. (2005). A framework for tamper detection marking of mobile applications. 2. 143–153. 5 indexed citations
18.
Marvel, Lisa M., C.T. Retter, & Charles Boncelet. (2002). A methodology for data hiding using images. 3. 1044–1047. 23 indexed citations
19.
Marvel, Lisa M. & Charles Boncelet. (2002). Authentication for low power systems. 1. 135–138. 2 indexed citations
20.
Marvel, Lisa M., Charles Boncelet, & C.T. Retter. (1999). Spread spectrum image steganography. IEEE Transactions on Image Processing. 8(8). 1075–1083. 419 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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