Patrick Mäder
- Software top 0.5%
- Software Reliability and Analysis Research 31
- Ecological Modeling top 1%
- Species Distribution and Climate Change 17
- Information Systems top 0.5%
- Software Engineering Research 56
- Software Engineering Techniques and Practices 29
- Analytical Chemistry top 2%
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- Software System Performance and Reliability 12
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- Advanced Software Engineering Methodologies 11
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- Plant and animal studies 11
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- Advanced Memory and Neural Computing 7
Patrick Mäder
133 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Software 599
- Ecological Modeling 424
- Information Systems 1.1k
- Computer Science Applications 134
- Analytical Chemistry 207
Countries citing papers authored by Patrick Mäder
This map shows the geographic impact of Patrick Mäder'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 Patrick Mäder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Mäder more than expected).
Fields of papers citing papers by Patrick Mäder
This network shows the impact of papers produced by Patrick Mäder. 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 Patrick Mäder. The network helps show where Patrick Mäder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick Mäder, 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 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 79 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 60 | |
| 14 | 2019 | 39 | |
| 15 | 2018 | 59 | |
| 16 | Poster: Use of Trace Link Types in Issue Tracking Systems | 2018 | 0 |
| 17 | Are Graph Query Languages Applicable for Requirements Traceability Analysis | 2017 | 6 |
| 18 | Traceability Gap Analysis for Assessing the Conformance of Software Traceability to Relevant Guidelines. | 2015 | 1 |
| 19 | 2013 | 12 | |
| 20 | Aufrechterhaltung von Traceability Links während evolutionärer Softwareentwicklung. | 2006 | 0 |
About Patrick Mäder
Patrick Mäder is a scholar working on Software, Ecological Modeling and Information Systems, having authored 143 papers that have together received 3.5k indexed citations. Recurring topics across this work include Software Engineering Research (56 papers), Software Reliability and Analysis Research (31 papers), Software Engineering Techniques and Practices (29 papers), Species Distribution and Climate Change (17 papers), Software System Performance and Reliability (12 papers), Advanced Software Engineering Methodologies (11 papers), Plant and animal studies (11 papers) and Advanced Memory and Neural Computing (7 papers). The work is most often cited by research in Software (599 citations), Ecological Modeling (424 citations) and Information Systems (1.1k citations). Patrick Mäder has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jana Wäldchen, Marco Seeland, Lars Kattner, Michael Rzanny, Jane Cleland‐Huang, Orlena Gotel, Alexander Egyed, David Boho, Ilka Philippow and Jane Huffman Hayes. Their work appears in journals such as Empirical Software Engineering, Scientific Reports, Frontiers in Plant Science, IEEE Transactions on Software Engineering and Methods in Ecology and Evolution.
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.