Daniel Lehmann

About

Daniel Lehmann is a scholar working on Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Lehmann has authored 5 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Signal Processing and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Daniel Lehmann’s work include Security and Verification in Computing (3 papers), Advanced Malware Detection Techniques (3 papers) and Access Control and Trust (1 paper). Daniel Lehmann is often cited by papers focused on Security and Verification in Computing (3 papers), Advanced Malware Detection Techniques (3 papers) and Access Control and Trust (1 paper). Daniel Lehmann collaborates with scholars based in United States, Germany and Denmark. Daniel Lehmann's co-authors include Fabian Monrose, Ahmad‐Reza Sadeghi, Lucas Davi, Michael Pradel, Johannes Kinder, Weihang Wang, Ben L. Titzer, Sukyoung Ryu and Chen Sun and has published in prestigious journals such as Proceedings of the ACM on Programming Languages, USENIX Security Symposium and 2022 IEEE Symposium on Security and Privacy (SP).

In The Last Decade

Co-authorship network of co-authors of Daniel Lehmann i

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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.

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).

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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