Leander Schietgat

1.6k total citations
22 papers, 949 citations indexed

About

Leander Schietgat is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Leander Schietgat has authored 22 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Leander Schietgat's work include Machine Learning in Bioinformatics (8 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (5 papers). Leander Schietgat is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (5 papers). Leander Schietgat collaborates with scholars based in Belgium, Brazil and United Kingdom. Leander Schietgat's co-authors include Celine Vens, Hendrik Blockeel, Sašo Džeroski, Jan Struyf, Dragi Kocev, Jan Ramon, Kurt De Grave, Yusuke Ihara, Raquel Norel and Russ Wolfinger and has published in prestigious journals such as Science, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Leander Schietgat

22 papers receiving 917 citations

Peers

Leander Schietgat
Comparison fields: 5 of 123
  • Artificial Intelligence 450
  • Molecular Biology 339
  • Biomedical Engineering 148
  • Sensory Systems 143
  • Information Systems 142
Replace Yanping Zhang with:
Yanping Zhang China
Fuyan Zhang China
Marc Strickert Germany
Frank Wood United Kingdom
Subhadip Basu India
Rishemjit Kaur India
Bart Naudts Belgium
Frank-Michael Schleif Germany
Mehmet Türkan Türkiye
Wen Xu United States
Yanping Zhang China View profile →
Citations per field, relative to Leander Schietgat
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Citations per year, relative to Leander Schietgat
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Countries citing papers authored by Leander Schietgat

Since Specialization
Citations

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

Fields of papers citing papers by Leander Schietgat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leander Schietgat

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 17
2 8
3 13
4 24
5 212
6
Partitioning the target space in multi-output learning
1
7
Decision trees for hierarchical classification of transposable elements
3
8 1
9
Annotating transposable elements in the genome using relational decision tree ensembles
3
10 7
11
Transposable element annotation using relational random forests
1
12 3
13 138
14 14
15
Maximum common subgraph mining: A fast and effective approach towards feature generation
7
16
Distinguishing epidemiological dependent from treatment (resistance) dependent HIV mutations: problem statement
1
17
Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision tree ensembles
7
18
A polynomial-time metric for outerplanar graphs
1
19
Decision trees for hierarchical multilabel classification: A case study in functional genomics
13
20
Hierarchical multilabel classification trees for gene function prediction (Extended abstract)
2

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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