Timo Kehrer
- Information Systems top 1%
- Artificial Intelligence top 2%
- Software top 1%
- Computer Networks and Communications top 5%
- Signal Processing top 10%
- Co-authors
- Udo KelterGabriele TaentzerLars GrunskeChristos TsigkanosCarlo GhezziThomas ThümYannic NollerThomas Vogel
- Topics
- Model-Driven Software Engineering Techniques (51 papers)Advanced Software Engineering Methodologies (49 papers)Software Engineering Research (46 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Timo Kehrer
97 papers receiving 975 citations
Peers
Comparison fields: 5 of 55
- Information Systems 713
- Artificial Intelligence 576
- Software 533
- Computer Networks and Communications 297
- Signal Processing 63
Countries citing papers authored by Timo Kehrer
This map shows the geographic impact of Timo Kehrer'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 Timo Kehrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Kehrer more than expected).
Fields of papers citing papers by Timo Kehrer
This network shows the impact of papers produced by Timo Kehrer. 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 Timo Kehrer. The network helps show where Timo Kehrer may publish in the future.
Co-authorship network of co-authors of Timo Kehrer
This figure shows the co-authorship network connecting the top 25 collaborators of Timo Kehrer. A scholar is included among the top collaborators of Timo Kehrer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Timo Kehrer. Timo Kehrer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | An Adaptable Tool Environment for High-level Differencing of Textual Models. | 2 |
| 16 | Versioning of Ordered Model Element Sets | 3 |
| 17 | Automatic generation of consistency-preserving edit operations for MDE tools | 9 |
| 18 | A Generic Framework for Analyzing Model Co-Evolution | 3 |
| 19 | Generating Edit Operations for Profiled UML Models. | 4 |
| 20 | Modellbasierte Entwicklung GPU-unterstützter Applikationen. | 1 |
About Timo Kehrer
Timo Kehrer is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 108 papers that have together received 1.0k indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (51 papers), Advanced Software Engineering Methodologies (49 papers) and Software Engineering Research (46 papers). The work is most often cited by research in Software (533 citations), Information Systems (713 citations) and Artificial Intelligence (576 citations). Timo Kehrer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Udo Kelter, Gabriele Taentzer, Lars Grunske, Christos Tsigkanos, Carlo Ghezzi, Thomas Thüm, Yannic Noller, Thomas Vogel, Oliver Vogel and Matthias Tichy. Their work appears in journals such as IEEE Access, Journal of Systems and Software and Information and Software Technology.
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.