Michael Reif
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Advanced Malware Detection Techniques 12
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- Software Engineering Research 8
- Spam and Phishing Detection 2
- Web Application Security Vulnerabilities 1
- Co-authors
- Mira Mezini (13 shared papers)Michael Eichberg (10 shared papers)Ben Hermann (5 shared papers)Cuong N. N. Tran (1 shared paper)Tom Lewis (1 shared paper)Florian Göpfert (1 shared paper)Eric Bodden (2 shared papers)Stefan Krüger (2 shared papers)
- Journals
- Journal of Applied Polymer Science (1 paper)Austral Ecology (1 paper)TUbilio (Technical University of Darmstadt) (9 papers)
In The Last Decade
Michael Reif
15 papers receiving 276 citations
Peers
Comparison fields: 5 of 47
- Software 105
- Signal Processing 157
- Information Systems 147
- Molecular Medicine 13
- Artificial Intelligence 86
Countries citing papers authored by Michael Reif
This map shows the geographic impact of Michael Reif'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 Michael Reif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Reif more than expected).
Fields of papers citing papers by Michael Reif
This network shows the impact of papers produced by Michael Reif. 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 Michael Reif. The network helps show where Michael Reif may publish in the future.
Co-authors
The 19 scholars most cited alongside Michael Reif, 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 | 2017 | 65 | |
| 2 | 2012 | 40 | |
| 3 | 2017 | 34 | |
| 4 | 2016 | 32 | |
| 5 | 2009 | 30 | |
| 6 | 2019 | 25 | |
| 7 | 2018 | 18 | |
| 8 | 2017 | 10 | |
| 9 | 2018 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 5 | |
| 12 | 2015 | 5 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 1 |
About Michael Reif
Michael Reif is a scholar working on Signal Processing, Information Systems, Artificial Intelligence, Software and Computer Networks and Communications, having authored 15 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (12 papers), Software Engineering Research (8 papers), Software Testing and Debugging Techniques (5 papers), Security and Verification in Computing (4 papers), Logic, programming, and type systems (3 papers), Spam and Phishing Detection (2 papers), Web Application Security Vulnerabilities (1 paper) and Polysaccharides and Plant Cell Walls (1 paper). The work is most often cited by research in Software (105 citations), Signal Processing (157 citations), Information Systems (147 citations), Molecular Medicine (13 citations) and Artificial Intelligence (86 citations). Michael Reif has collaborated with scholars based in Germany, Canada and Sweden. Frequent co-authors include Mira Mezini, Michael Eichberg, Ben Hermann, Cuong N. N. Tran, Tom Lewis, Florian Göpfert, Eric Bodden, Stefan Krüger, Sarah Nadi and Daniel Demmler. Their work appears in journals such as Journal of Applied Polymer Science, Austral Ecology and TUbilio (Technical University of Darmstadt).
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.