Stefan Schönauer
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
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- Graph Theory and Algorithms
Papers in
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 1
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- Peer-to-Peer Network Technologies 2
- Caching and Content Delivery 2
- Advanced Database Systems and Queries 1
- Co-authors
- Karsten Borgwardt (1 shared paper)Cheng Soon Ong (1 shared paper)S. V. N. Vishwanathan (1 shared paper)Alexander J. Smola (1 shared paper)H.-P. Kriegel (1 shared paper)Karin Kailing (3 shared papers)Alvin Cheung (3 shared papers)Rakesh Agrawal (1 shared paper)
- Journals
- PLoS ONE (1 paper)Computer applications in the biosciences (1 paper)Knowledge and Information Systems (1 paper)Document Server@UHasselt (UHasselt) (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Stefan Schönauer
9 papers receiving 708 citations
Stefan Schönauer's Hit Papers
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 436
- Computer Vision and Pattern Recognition 201
- Statistical and Nonlinear Physics 113
- Computational Theory and Mathematics 94
- Computational Mathematics 3
Countries citing papers authored by Stefan Schönauer
This map shows the geographic impact of Stefan Schönauer'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 Stefan Schönauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Schönauer more than expected).
Fields of papers citing papers by Stefan Schönauer
This network shows the impact of papers produced by Stefan Schönauer. 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 Stefan Schönauer. The network helps show where Stefan Schönauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Schönauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Protein function prediction via graph kernels Hit paper breakdown → | 2005 | 637 |
| 2 | 2006 | 48 | |
| 3 | 2007 | 20 | |
| 4 | How optimal is the genetic code | 1997 | 12 |
| 5 | 2012 | 7 | |
| 6 | Similarity Search in Biological and Engineering Databases. | 2004 | 5 |
| 7 | 2006 | 4 | |
| 8 | 2007 | 4 | |
| 9 | 2007 | 3 |
About Stefan Schönauer
Stefan Schönauer is a scholar working on Molecular Biology, Computer Networks and Communications, Signal Processing, Clinical Psychology and Information Systems, having authored 9 papers that have together received 740 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Data Management and Algorithms (2 papers), Peer-to-Peer Network Technologies (2 papers), Caching and Content Delivery (2 papers), RFID technology advancements (1 paper), Gene expression and cancer classification (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Artificial Intelligence (436 citations), Computer Vision and Pattern Recognition (201 citations), Statistical and Nonlinear Physics (113 citations), Computational Theory and Mathematics (94 citations) and Computational Mathematics (3 citations). Stefan Schönauer has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Karsten Borgwardt, Cheng Soon Ong, S. V. N. Vishwanathan, Alexander J. Smola, H.-P. Kriegel, Karin Kailing, Alvin Cheung, Rakesh Agrawal, Peter Clote and Hans‐Peter Kriegel. Their work appears in journals such as PLoS ONE, Computer applications in the biosciences, Knowledge and Information Systems, Document Server@UHasselt (UHasselt) and IEEE Data(base) Engineering Bulletin.
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.