Andre Skusa
- Molecular Biology
- Artificial Intelligence
- Genetics
- Information Systems and Management
- Computational Theory and Mathematics
- Co-authors
- Jacob KöhlerPaul VerrierStephan PhilippiChris RawlingsJan BaumbachMichael SpechtJan TaubertBarry Smith
- Topics
- Bioinformatics and Genomic Networks (4 papers)Biomedical Text Mining and Ontologies (3 papers)Evolution and Genetic Dynamics (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Andre Skusa
7 papers receiving 227 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 217
- Artificial Intelligence 66
- Genetics 19
- Information Systems and Management 18
- Computational Theory and Mathematics 18
Countries citing papers authored by Andre Skusa
This map shows the geographic impact of Andre Skusa'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 Andre Skusa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andre Skusa more than expected).
Fields of papers citing papers by Andre Skusa
This network shows the impact of papers produced by Andre Skusa. 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 Andre Skusa. The network helps show where Andre Skusa may publish in the future.
Co-authorship network of co-authors of Andre Skusa
This figure shows the co-authorship network connecting the top 25 collaborators of Andre Skusa. A scholar is included among the top collaborators of Andre Skusa 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 Andre Skusa. Andre Skusa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Playful Validation of Automatically Extracted Data. | 0 |
| 2 | 39 | |
| 3 | 139 | |
| 4 | 37 | |
| 5 | Linking experimental results, biological networks and sequence analysis methods using Ontologies and Generalised Data Structures. | 22 |
| 6 | Towards a Comparison of Evolutionary Creativity in Biological and Cultural Evolution | 5 |
| 7 | Künstliche Chemie (Artificial Chemistry) | 1 |
| 8 | Dynamical properties of the fitness landscape of a GP controlled random morphology robot | 2 |
About Andre Skusa
Andre Skusa is a scholar working on Computer Science Applications, Cultural Studies and Physical and Theoretical Chemistry, having authored 8 papers that have together received 245 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Molecular Biology (217 citations), Information Systems and Management (18 citations) and Artificial Intelligence (66 citations). Andre Skusa has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Jacob Köhler, Paul Verrier, Stephan Philippi, Chris Rawlings, Jan Baumbach, Michael Specht, Jan Taubert, Barry Smith, R. A. C. Mitchell and Mark A. Bedau. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Briefings in Bioinformatics.
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.