Andre Skusa

437 citations
8 papers · 244 · h-index 5

Impact in

    • Bioinformatics and Genomic Networks
    • Biomedical Text Mining and Ontologies
    • Genomics and Phylogenetic Studies
    • Gene expression and cancer classification
    • Microbial Metabolic Engineering and Bioproduction
    • Genetics, Bioinformatics, and Biomedical Research
    • Scientific Computing and Data Management

Papers in

    • Biomedical Text Mining and Ontologies 3
    • Bioinformatics and Genomic Networks 2
    • Gene expression and cancer classification 1
    • Metaheuristic Optimization Algorithms Research 1

Andre Skusa

7 papers receiving 226 citations

Peers

Andre Skusa
Comparison fields: 5 of 51
  • Molecular Biology 194
  • Information Systems and Management 18
  • Artificial Intelligence 51
  • Computational Theory and Mathematics 16
  • Statistical and Nonlinear Physics 9
Replace Andy Jenkinson with:
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Citations per year

Countries citing papers authored by Andre Skusa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 13 scholars most cited alongside Andre Skusa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andre Skusa Line = papers co-authored together Andre Skusa links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006139
2 200639
3 200537
4
Linking experimental results, biological networks and sequence analysis methods using Ontologies and Generalised Data Structures.
200521
5
Towards a Comparison of Evolutionary Creativity in Biological and Cultural Evolution
20025
6
Dynamical properties of the fitness landscape of a GP controlled random morphology robot
19992
7
Künstliche Chemie (Artificial Chemistry)
20001
8
Playful Validation of Automatically Extracted Data.
20080

About Andre Skusa

Andre Skusa is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Organic Chemistry and Sociology and Political Science, having authored 8 papers that have together received 244 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Bioinformatics and Genomic Networks (2 papers), Evolution and Genetic Dynamics (2 papers), Inorganic and Organometallic Chemistry (1 paper), Language and cultural evolution (1 paper), Gene expression and cancer classification (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Chemistry and Chemical Engineering (1 paper). The work is most often cited by research in Molecular Biology (194 citations), Information Systems and Management (18 citations), Artificial Intelligence (51 citations), Computational Theory and Mathematics (16 citations) and Statistical and Nonlinear Physics (9 citations). Andre Skusa has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Jacob Köhler, Stephan Philippi, Paul Verrier, Chris Rawlings, Jan Taubert, Jan Baumbach, Michael Specht, Barry Smith, Mark A. Bedau and R. A. C. Mitchell. Their work appears in journals such as Briefings in Bioinformatics, BMC Bioinformatics, Bioinformatics, PUB – Publications at Bielefeld University (Bielefeld University) and PubMed.

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.

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