Grischa Liebel
- Information Systems top 2%
- Software top 2%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Management Information Systems top 10%
- Co-authors
- Eric KnaussRashidah KasauliMatthias TichyJennifer HorkoffFrancisco Gomes de Oliveira NetoAndrea LeitnerJörgen HanssonRogardt Heldal
- Topics
- Software Engineering Techniques and Practices (21 papers)Software Engineering Research (19 papers)Model-Driven Software Engineering Techniques (16 papers)
In The Last Decade
Grischa Liebel
36 papers receiving 457 citations
Peers
Comparison fields: 5 of 53
- Information Systems 315
- Software 160
- Artificial Intelligence 117
- Computer Networks and Communications 94
- Management Information Systems 54
Countries citing papers authored by Grischa Liebel
This map shows the geographic impact of Grischa Liebel'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 Grischa Liebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grischa Liebel more than expected).
Fields of papers citing papers by Grischa Liebel
This network shows the impact of papers produced by Grischa Liebel. 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 Grischa Liebel. The network helps show where Grischa Liebel may publish in the future.
Co-authorship network of co-authors of Grischa Liebel
This figure shows the co-authorship network connecting the top 25 collaborators of Grischa Liebel. A scholar is included among the top collaborators of Grischa Liebel 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 Grischa Liebel. Grischa Liebel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | Challenges and Research Directions for Successfully Applying MBE Tools in Practice | 4 |
| 14 | 2 | |
| 15 | 50 | |
| 16 | 18 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | Model-based engineering for embedded systems in practice | 1 |
| 20 | 15 |
About Grischa Liebel
Grischa Liebel is a scholar working on Software, Information Systems and Computer Science Applications, having authored 41 papers that have together received 475 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (21 papers), Software Engineering Research (19 papers) and Model-Driven Software Engineering Techniques (16 papers). The work is most often cited by research in Software (160 citations), Information Systems (315 citations) and Management Information Systems (54 citations). Grischa Liebel has collaborated with scholars based in Sweden, Iceland and Germany. Frequent co-authors include Eric Knauss, Rashidah Kasauli, Matthias Tichy, Jennifer Horkoff, Francisco Gomes de Oliveira Neto, Andrea Leitner, Jörgen Hansson, Rogardt Heldal, Mohammad Hamdaqa and Håkan Burden. Their work appears in journals such as Journal of Systems and Software, Information and Software Technology and Teaching in Higher Education.
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.