Michael Pradel
- Software top 0.1%
- Software Testing and Debugging Techniques 71
- Software Reliability and Analysis Research 34
- Information Systems top 0.2%
- Software Engineering Research 68
- Web Application Security Vulnerabilities 16
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques 32
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 14
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- Software System Performance and Reliability 29
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- Security and Verification in Computing 11
- Co-authors
- Thomas R. GrossKoushik SenJibesh PatraAbhik RoychoudhuryClaire Le GouesCristian-Alexandru StaicuDaniel LehmannParker Schuh
- Journals
- Proceedings of the ACM on Programming Languages (5 papers)ACM SIGPLAN Notices (4 papers)ACM Computing Surveys (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Pradel
112 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Software 1.9k
- Information Systems 2.1k
- Signal Processing 823
- Hardware and Architecture 339
- Computer Networks and Communications 887
Countries citing papers authored by Michael Pradel
This map shows the geographic impact of Michael Pradel'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 Pradel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pradel more than expected).
Fields of papers citing papers by Michael Pradel
This network shows the impact of papers produced by Michael Pradel. 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 Pradel. The network helps show where Michael Pradel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Pradel, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 6 | |
| 5 | Fuzz4All: Universal Fuzzing with Large Language Modelsbreakdown → | 2024 | 72 |
| 6 | 2024 | 1 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 38 | |
| 11 | 2022 | 17 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 42 | |
| 15 | 2021 | 5 | |
| 16 | 2017 | 58 | |
| 17 | 2015 | 43 | |
| 18 | Performance Regression Testing of Concurrent Classes. | 2015 | 4 |
| 19 | 2012 | 38 | |
| 20 | Ontology Composition using a Role Modeling Approach. | 2008 | 0 |
About Michael Pradel
Michael Pradel is a scholar working on Software, Information Systems, Signal Processing, Hardware and Architecture and Computer Networks and Communications, having authored 115 papers that have together received 3.0k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (71 papers), Software Engineering Research (68 papers), Software Reliability and Analysis Research (34 papers), Advanced Malware Detection Techniques (32 papers), Software System Performance and Reliability (29 papers), Web Application Security Vulnerabilities (16 papers), Parallel Computing and Optimization Techniques (14 papers) and Security and Verification in Computing (11 papers). The work is most often cited by research in Software (1.9k citations), Information Systems (2.1k citations), Signal Processing (823 citations), Hardware and Architecture (339 citations) and Computer Networks and Communications (887 citations). Michael Pradel has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Thomas R. Gross, Koushik Sen, Jibesh Patra, Abhik Roychoudhury, Claire Le Goues, Cristian-Alexandru Staicu, Daniel Lehmann, Parker Schuh, Liang Gong and Aryaz Eghbali. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, ACM Computing Surveys, IEEE Transactions on Software Engineering and Communications of the ACM.
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.