Stefan Schönauer

1.4k total citations · 1 hit paper
9 papers, 723 citations indexed

About

Stefan Schönauer is a scholar working on Molecular Biology, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Stefan Schönauer has authored 9 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Stefan Schönauer's work include Peer-to-Peer Network Technologies (2 papers), Caching and Content Delivery (2 papers) and Bioinformatics and Genomic Networks (2 papers). Stefan Schönauer is often cited by papers focused on Peer-to-Peer Network Technologies (2 papers), Caching and Content Delivery (2 papers) and Bioinformatics and Genomic Networks (2 papers). Stefan Schönauer collaborates with scholars based in United States, Finland and Germany. Stefan Schönauer's co-authors include Cheng Soon Ong, Karsten Borgwardt, Alexander J. Smola, H.-P. Kriegel, S. V. N. Vishwanathan, Alvin Cheung, Karin Kailing, Rakesh Agrawal, Peter Clote and Hans‐Peter Kriegel and has published in prestigious journals such as PLoS ONE, Computer applications in the biosciences and Knowledge and Information Systems.

In The Last Decade

Stefan Schönauer

9 papers receiving 691 citations

Hit Papers

Protein function prediction via graph kernels 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Schönauer United States 6 425 216 198 112 104 9 723
Akihiro Inokuchi Japan 9 345 0.8× 141 0.7× 210 1.1× 103 0.9× 151 1.5× 27 705
Pinar Yanardag United States 7 540 1.3× 106 0.5× 265 1.3× 184 1.6× 47 0.5× 15 710
Kim Shearer Australia 7 238 0.6× 60 0.3× 381 1.9× 50 0.4× 67 0.6× 12 574
Tamás Horváth Germany 9 196 0.5× 103 0.5× 103 0.5× 66 0.6× 142 1.4× 28 432
Goutam Paul India 15 422 1.0× 37 0.2× 375 1.9× 31 0.3× 64 0.6× 93 754
Xuefeng Li China 5 362 0.9× 175 0.8× 192 1.0× 17 0.2× 191 1.8× 18 670
Takeshi Koshiba Japan 16 384 0.9× 39 0.2× 213 1.1× 24 0.2× 91 0.9× 63 762
Kristie Seymore United States 10 960 2.3× 57 0.3× 167 0.8× 257 2.3× 29 0.3× 12 1.2k
Da Zheng United States 14 621 1.5× 65 0.3× 416 2.1× 75 0.7× 60 0.6× 42 929
Taneli Mielikäinen Finland 13 314 0.7× 210 1.0× 113 0.6× 48 0.4× 202 1.9× 21 832

Countries citing papers authored by Stefan Schönauer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stefan Schönauer

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Schönauer. A scholar is included among the top collaborators of Stefan Schönauer 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 Stefan Schönauer. Stefan Schönauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Congdon, Eliza, Susan K. Service, Jouni K. Seppänen, et al.. (2012). Early Environment and Neurobehavioral Development Predict Adult Temperament Clusters. PLoS ONE. 7(7). e38065–e38065. 7 indexed citations
2.
Cheung, Alvin, Tyrone Grandison, Christopher M. Johnson, & Stefan Schönauer. (2007). Ïnfïnïty. 25–32. 4 indexed citations
3.
Cheung, Alvin, Karin Kailing, & Stefan Schönauer. (2007). Theseos: A Query Engine for Traceability across Sovereign, Distributed RFID Databases. 1495–1496. 20 indexed citations
4.
Koch, Kerstin, Stefan Schönauer, Ivy Jansen, Jan Van den Bussche, & Tomasz Burzykowski. (2007). Finding Clusters of Positive and Negative Coregulated Genes in Gene Expression Data. Document Server@UHasselt (UHasselt). 93–99. 3 indexed citations
5.
Agrawal, Rakesh, Alvin Cheung, Karin Kailing, & Stefan Schönauer. (2006). Towards Traceability across Sovereign, Distributed RFID Databases. 174–184. 48 indexed citations
6.
Kailing, Karin, Hans‐Peter Kriegel, Martin Pfeifle, & Stefan Schönauer. (2006). Extending metric index structures for efficient range query processing. Knowledge and Information Systems. 10(2). 211–227. 4 indexed citations
7.
Borgwardt, Karsten, Cheng Soon Ong, Stefan Schönauer, et al.. (2005). Protein function prediction via graph kernels. Computer applications in the biosciences. 21(Suppl 1). i47–i56. 620 indexed citations breakdown →
8.
Kriegel, Hans‐Peter, Martin Pfeifle, & Stefan Schönauer. (2004). Similarity Search in Biological and Engineering Databases.. IEEE Data(base) Engineering Bulletin. 27. 37–44. 5 indexed citations
9.
Schönauer, Stefan & Peter Clote. (1997). How optimal is the genetic code. 65–67. 12 indexed citations

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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