Steven Vercruysse

1.3k citations
12 papers · 711 indexed · h-index 7
Topics
Bioinformatics and Genomic Networks (6 papers)Biomedical Text Mining and Ontologies (5 papers)Semantic Web and Ontologies (4 papers)
Partner nations
NorwayBelgiumFrance

In The Last Decade

Steven Vercruysse

12 papers receiving 697 citations

Peers

Steven Vercruysse
Comparison fields: 5 of 53
  • Plant Science 621
  • Molecular Biology 503
  • Cell Biology 53
  • Genetics 22
  • Oncology 14
Replace Sebastian J. Schultheiß with:
Sebastian J. Schultheiß Germany
Kobe Vlieghe Belgium
Jian‐Xiu Shang China
Markéta Pařezová Czechia
Sarah M. de Jager United Kingdom
Uma Kota United States
Katarzyna Retzer Austria
Xiu‐Fen Song China
Carlos Perea-Resa Spain
Yunqing Yu United States
Steven Vercruysse relative to Sebastian J. Schultheiß Germany Sebastian J. Schultheiß's profile →
Citations per field
00.5×
Sebastian J. Schultheiß · 1×
Citations per year

Countries citing papers authored by Steven Vercruysse

Since Specialization
Citations

This map shows the geographic impact of Steven Vercruysse'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 Steven Vercruysse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Vercruysse more than expected).

Fields of papers citing papers by Steven Vercruysse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Vercruysse. 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 Steven Vercruysse. The network helps show where Steven Vercruysse may publish in the future.

Co-authorship network of co-authors of Steven Vercruysse

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 4
2 17
3 3
4 2
5 9
6 19
7 2
8 45
9 221
10 222
11 5
12 162

About Steven Vercruysse

Steven Vercruysse is a scholar working on Molecular Biology, Information Systems and Management and Artificial Intelligence, having authored 12 papers that have together received 711 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Plant Science (621 citations), Molecular Biology (503 citations) and Cell Biology (53 citations). Steven Vercruysse has collaborated with scholars based in Norway, Belgium and France. Frequent co-authors include Dirk Inzé, Lieven De Veylder, Martin Kuiper, Tom Beeckman, Marnik Vuylsteke, Gerrit T.S. Beemster, Els Van Der Schueren, Aurine Verkest, Paul Van Hummelen and Wilhelm Gruissem. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and The Plant Cell.

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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