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.
Network intrusion detection
1994682 citationsBiswanath Mukherjee, L.T. Heberlein et al.profile →
Security vulnerabilities of connected vehicle streams and their impact on cooperative driving
2015299 citationsJeff Rowe, Karl Levitt et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Karl Levitt'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 Karl Levitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Levitt more than expected).
This network shows the impact of papers produced by Karl Levitt. 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 Karl Levitt. The network helps show where Karl Levitt may publish in the future.
Co-authorship network of co-authors of Karl Levitt
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Levitt.
A scholar is included among the top collaborators of Karl Levitt 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 Karl Levitt. Karl Levitt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Parsons, Simon, Katie Atkinson, Peter McBurney, et al.. (2014). Argument schemes for reasoning about trust. Research Portal (King's College London). 5(2-3). 160–190.23 indexed citations
4.
Parsons, Simon, Elizabeth Sklar, Munindar P. Singh, Karl Levitt, & Jeff Rowe. (2013). An argumentation-based approach to handling trust in distributed decision making. Lincoln Repository (University of Lincoln).2 indexed citations
Gertz, Michael, et al.. (1999). Misuse Detection in Database Systems Through User Profiling..4 indexed citations
13.
Dias, Gihan, et al.. (1997). DIDS (distributed intrusion detection system)—motivation, architecture, and an early prototype. 211–227.239 indexed citations
14.
Levitt, Karl, et al.. (1996). NetKuang: a multi-host configuration vulnerability checker. USENIX Security Symposium. 20–20.54 indexed citations
15.
Levitt, Karl, et al.. (1994). Towards a Property-Based Testing Environment With Applications to Security-Critical Software. Defense Technical Information Center (DTIC).7 indexed citations
Goldberg, Jack, B. Elspas, William H. Kautz, & Karl Levitt. (1986). Survey of Fault Tolerant Computer Security and Computer Safety.. Defense Technical Information Center (DTIC).1 indexed citations
18.
Neumann, Peter G., Richard J. Feiertag, Karl Levitt, & Lawrence Baylor Robinson. (1976). Software development and proofs of multi-level security. International Conference on Software Engineering. 421–428.9 indexed citations
Goldberg, Jacob L., et al.. (1967). LOGIC DESIGN TECHNIQUES FOR PROPAGATION LIMITED NETWORKS.. Defense Technical Information Center (DTIC).1 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.