Daniel Lehmann
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Security and Verification in Computing 6
- Natural Language Processing Techniques 1
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- Software Engineering Research 4
- Web Application Security Vulnerabilities 2
- Co-authors
- Michael Pradel (9 shared papers)Ahmad‐Reza Sadeghi (2 shared papers)Lucas Davi (2 shared papers)Fabian Monrose (1 shared paper)Patrice Godefroid (1 shared paper)Marina Polishchuk (1 shared paper)Weihang Wang (1 shared paper)Frank Tip (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (1 paper)Proceedings on Privacy Enhancing Technologies (1 paper)USENIX Security Symposium (2 papers)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Daniel Lehmann
12 papers receiving 389 citations
Peers
Comparison fields: 5 of 23
- Software 117
- Signal Processing 222
- Hardware and Architecture 59
- Artificial Intelligence 261
- Information Systems 170
Countries citing papers authored by Daniel Lehmann
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
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-authors
The 11 scholars most cited alongside Daniel Lehmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Stitching the gadgets: on the ineffectiveness of coarse-grained control-flow integrity protection | 2014 | 167 |
| 2 | 2021 | 54 | |
| 3 | 2019 | 43 | |
| 4 | 2020 | 31 | |
| 5 | Everything Old is New Again: Binary Security of WebAssembly | 2020 | 24 |
| 6 | 2018 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 15 | |
| 10 | The Beast is in Your Memory: Return-Oriented Programming Attacks Against Modern Control-Flow Integrity Protection Techniques | 2014 | 3 |
| 11 | 2023 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 0 |
About Daniel Lehmann
Daniel Lehmann is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Software and Computer Networks and Communications, 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), Software Testing and Debugging Techniques (5 papers), Software Engineering Research (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Diamond and Carbon-based Materials Research (2 papers), Web Application Security Vulnerabilities (2 papers) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Software (117 citations), Signal Processing (222 citations), Hardware and Architecture (59 citations), Artificial Intelligence (261 citations) and Information Systems (170 citations). Daniel Lehmann has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Michael Pradel, Ahmad‐Reza Sadeghi, Lucas Davi, Fabian Monrose, Patrice Godefroid, Marina Polishchuk, Weihang Wang, Frank Tip, Sukyoung Ryu and Chen Sun. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Proceedings on Privacy Enhancing Technologies and USENIX Security Symposium.
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.