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.
FlowDroid
2014973 citationsSteven Arzt, Siegfried Rasthofer et al.Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)profile →
FlowDroid
2014618 citationsSteven Arzt, Siegfried Rasthofer et al.profile →
IccTA: Detecting Inter-Component Privacy Leaks in Android Apps
2015255 citationsLi Li, Alexandre Bartel et al.profile →
A Machine-learning Approach for Classifying and Categorizing Android Sources and Sinks
2014229 citationsSiegfried Rasthofer, Steven Arzt et al.Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)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 Eric Bodden'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 Eric Bodden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Bodden more than expected).
This network shows the impact of papers produced by Eric Bodden. 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 Eric Bodden. The network helps show where Eric Bodden may publish in the future.
Co-authorship network of co-authors of Eric Bodden
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Bodden.
A scholar is included among the top collaborators of Eric Bodden 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 Eric Bodden. Eric Bodden is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bodden, Eric, et al.. (2013). SPL LIFT. IT University Of Copenhagen (IT University of Copenhagen). 355–364.74 indexed citations
14.
Arzt, Steven, et al.. (2013). How useful are existing monitoring languages for securing Android apps. TUbilio (Technical University of Darmstadt). 107–122.4 indexed citations
15.
Octeau, Damien, Patrick McDaniel, Somesh Jha, et al.. (2013). Effective inter-component communication mapping in Android with Epicc: an essential step towards holistic security analysis. Open Repository and Bibliography (University of Luxembourg). 543–558.235 indexed citations
16.
Bodden, Eric, Laurie Hendren, Patrick Lam, & Elena Sherman. (2012). Proceedings of the ACM SIGPLAN International Workshop on State of the Art in Java Program analysis. 58–58.7 indexed citations
17.
Bodden, Eric & Madanlal Musuvathi. (2012). Proceedings of the 2012 Workshop on Dynamic Analysis. 3(1-2). 87–9.1 indexed citations
18.
Bodden, Eric, Patrick Lam, & Laurie Hendren. (2010). Clara: a Framework for Statically Evaluating Finite-state Runtime Monitors.8 indexed citations
19.
Bodden, Eric & Patrick Lam. (2010). Clara: partially evaluating runtime monitors at compile time tutorial supplement. 74–88.4 indexed citations
20.
Bodden, Eric. (2010). Specifying and Exploiting Advice-Execution Ordering using Dependency State Machines.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.