Daniel Lehmann

693 citations
13 papers · 404 indexed · h-index 9
Topics
Advanced Malware Detection Techniques (7 papers)Security and Verification in Computing (6 papers)Software Testing and Debugging Techniques (5 papers)
Journals
Proceedings of the ACM on Programming LanguagesUSENIX Security SymposiumProceedings on Privacy Enhancing Technologies

In The Last Decade

Daniel Lehmann

12 papers receiving 389 citations

Peers

Daniel Lehmann
Comparison fields: 5 of 23
  • Artificial Intelligence 261
  • Signal Processing 222
  • Information Systems 170
  • Computer Networks and Communications 122
  • Software 117
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Lehmann. 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 Daniel Lehmann. The network helps show where Daniel Lehmann may publish in the future.

Co-authorship network of co-authors of Daniel Lehmann

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lehmann. A scholar is included among the top collaborators of Daniel Lehmann 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 Daniel Lehmann. Daniel Lehmann 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
#WorkIndexed citations
1 1
2 0
3 2
4 15
5 19
6 54
7
Everything Old is New Again: Binary Security of WebAssembly
24
8 31
9 43
10 22
11 23
12
Stitching the gadgets: on the ineffectiveness of coarse-grained control-flow integrity protection
167
13
The Beast is in Your Memory: Return-Oriented Programming Attacks Against Modern Control-Flow Integrity Protection Techniques
3

About Daniel Lehmann

Daniel Lehmann is a scholar working on Software, Signal Processing and Information Systems, having authored 13 papers that have together received 404 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Security and Verification in Computing (6 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Software (117 citations), Signal Processing (222 citations) and Hardware and Architecture (59 citations). Daniel Lehmann has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Michael Pradel, Lucas Davi, Ahmad‐Reza Sadeghi, Fabian Monrose, Patrice Godefroid, Marina Polishchuk, Weihang Wang, Frank Tip, Chen Sun and Ben L. Titzer. Their work appears in journals such as Proceedings of the ACM on Programming Languages, USENIX Security Symposium and Proceedings on Privacy Enhancing Technologies.

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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