Karl Lieberherr
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Software top 1%
- Computer Networks and Communications top 2%
- Computational Theory and Mathematics top 5%
- Co-authors
- Ian M. HollandMira MeziniA. J. RielDavid H. LorenzHarold OssherTzilla ElradGregor KiczalesMehmet Akşit
- Topics
- Advanced Software Engineering Methodologies (43 papers)Software Engineering Research (37 papers)Logic, programming, and type systems (30 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Karl Lieberherr
80 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 1.4k
- Information Systems 1.2k
- Software 460
- Computer Networks and Communications 454
- Computational Theory and Mathematics 158
Countries citing papers authored by Karl Lieberherr
This map shows the geographic impact of Karl Lieberherr'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 Karl Lieberherr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Lieberherr more than expected).
Fields of papers citing papers by Karl Lieberherr
This network shows the impact of papers produced by Karl Lieberherr. 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 Karl Lieberherr. The network helps show where Karl Lieberherr may publish in the future.
Co-authorship network of co-authors of Karl Lieberherr
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Lieberherr. A scholar is included among the top collaborators of Karl Lieberherr 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 Karl Lieberherr. Karl Lieberherr 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 | 3 | |
| 3 | Functional Adaptive Programming with DemeterF | 1 |
| 4 | 3 | |
| 5 | A Discussion on Aspect-Oriented Programming: Frequently-Asked Questions | 60 |
| 6 | 39 | |
| 7 | AP/S++: Case-study of a MOP for Purposes of Software Evolution | 6 |
| 8 | Adaptive Object-Oriented Software: The Demeter Method with Propagation Patterns | 173 |
| 9 | The Demeter method | 0 |
| 10 | Component Enhancement: An Adaptive Reusability Mechanism for Groups of Collaborating Classes | 16 |
| 11 | Abstraction of Object-Oriented Data Models. | 9 |
| 12 | 9 | |
| 13 | 99 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 3 |
About Karl Lieberherr
Karl Lieberherr is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (43 papers), Software Engineering Research (37 papers) and Logic, programming, and type systems (30 papers). The work is most often cited by research in Software (460 citations), Information Systems (1.2k citations) and Artificial Intelligence (1.4k citations). Karl Lieberherr has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ian M. Holland, Mira Mezini, A. J. Riel, David H. Lorenz, Harold Ossher, Tzilla Elrad, Gregor Kiczales, Mehmet Akşit, Jens Palsberg and Linda M. Seiter. Their work appears in journals such as Communications of the ACM, ACM Computing Surveys and IEEE Transactions on Software Engineering.
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.