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.
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense
2020195 citationsJin-Hee Cho, Dilli Prasad Sharma et al.IEEE Communications Surveys & Tutorialsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Noam Ben‐Asher
Since
Specialization
Citations
This map shows the geographic impact of Noam Ben‐Asher'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 Noam Ben‐Asher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Ben‐Asher more than expected).
This network shows the impact of papers produced by Noam Ben‐Asher. 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 Noam Ben‐Asher. The network helps show where Noam Ben‐Asher may publish in the future.
Co-authorship network of co-authors of Noam Ben‐Asher
This figure shows the co-authorship network connecting the top 25 collaborators of Noam Ben‐Asher.
A scholar is included among the top collaborators of Noam Ben‐Asher 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 Noam Ben‐Asher. Noam Ben‐Asher is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cho, Jin-Hee, Dilli Prasad Sharma, Hooman Alavizadeh, et al.. (2020). Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense. IEEE Communications Surveys & Tutorials. 22(1). 709–745.195 indexed citations breakdown →
3.
Černý, Jakub, et al.. (2019). Evaluating Models of Human Behavior in an Adversarial Multi-Armed Bandit Problem.. Cognitive Science. 394–400.1 indexed citations
Kar, Debarun, et al.. (2016). Know Your Adversary: Insights for a Better Adversarial Behavioral Model.. Cognitive Science.8 indexed citations
8.
Rajivan, Prashanth, Emmanouil Konstantinidis, Noam Ben‐Asher, & Cleotilde González. (2016). Categorization of Events in Security Scenarios. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 60(1). 274–278.1 indexed citations
9.
Ben‐Asher, Noam, Alessandro Oltramari, Robert F. Erbacher, & Cleotilde González. (2015). Ontology-based Adaptive Systems of Cyber Defense.. 34–41.9 indexed citations
González, Cleotilde & Noam Ben‐Asher. (2014). Learning to cooperate in the Prisoner's Dilemma: Robustness of Predictions of an Instance-Based Learning Model. Cognitive Science. 36(36).1 indexed citations
Ben‐Asher, Noam, Joachim Meyer, Yisrael Parmet, Sebastian Moeller, & Roman Englert. (2010). An experimental microworld for evaluating the tradeoffs between usability and security.1 indexed citations
Porat, Talya, Ohad Inbar, Noam Ben‐Asher, & Noam Tractinsky. (2008). IADIS International Conference, Interfaces and Human Computer Interaction 2008.12 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.