Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
CAFE: a computational tool for the study of gene family evolution
20061.1k citationsTijl De Bie, Nello Cristianini et al.Bioinformaticsprofile →
Citations per year, relative to Tijl De Bie Tijl De Bie (= 1×)
peers
Alexander Lex
Countries citing papers authored by Tijl De Bie
Since
Specialization
Citations
This map shows the geographic impact of Tijl De Bie'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 Tijl De Bie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tijl De Bie more than expected).
This network shows the impact of papers produced by Tijl De Bie. 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 Tijl De Bie. The network helps show where Tijl De Bie may publish in the future.
Co-authorship network of co-authors of Tijl De Bie
This figure shows the co-authorship network connecting the top 25 collaborators of Tijl De Bie.
A scholar is included among the top collaborators of Tijl De Bie 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 Tijl De Bie. Tijl De Bie is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lijffijt, Jefrey, et al.. (2021). Quantifying and reducing imbalance in networks. Ghent University Academic Bibliography (Ghent University). 2967.2 indexed citations
5.
Lijffijt, Jefrey, et al.. (2020). Scalable Dyadic Independence Models with Local and Global Constraints. arXiv (Cornell University).1 indexed citations
6.
Boom, Cedric De, et al.. (2020). Adapted NMFD update procedure for removing double hits in drum mixture decompositions. 10–14.1 indexed citations
7.
Saeys, Yvan, et al.. (2020). Mining Topological Structure in Graphs through Forest Representations. Journal of Machine Learning Research. 21(215). 1–68.3 indexed citations
8.
Saeys, Yvan, et al.. (2019). The boundary coefficient : a vertex measure for visualizing and finding structure in weighted graphs. Ghent University Academic Bibliography (Ghent University).1 indexed citations
9.
Lijffijt, Jefrey, et al.. (2018). Conditional Network Embeddings.. Ghent University Academic Bibliography (Ghent University).2 indexed citations
10.
Chen, Xi, Jefrey Lijffijt, & Tijl De Bie. (2018). The normalized Friedkin-Johnsen model (a work-in-progress report). Ghent University Academic Bibliography (Ghent University).
11.
Bie, Tijl De. (2014). Formalising the subjective interestingness of a linear projection of a data set : two examples. Ghent University Academic Bibliography (Ghent University). 47–51.
12.
Flach, Peter, Tijl De Bie, & Nello Cristianini. (2012). Machine learning and knowledge discovery in databases: ECML-PKDD Proceedings, Part II. Ghent University Academic Bibliography (Ghent University). 7523.
Lampos, Vasileios, Tijl De Bie, & Nello Cristianini. (2010). Flu Detector - Tracking Epidemics on Twitter. Ghent University Academic Bibliography (Ghent University).1 indexed citations
15.
Ricci, Elisa, Tijl De Bie, & Nello Cristianini. (2008). Magic Moments for Structured Output Prediction. Journal of Machine Learning Research. 9(94). 2803–2846.4 indexed citations
16.
Szedmák, Sándor, Tijl De Bie, & David R. Hardoon. (2007). A metamorphosis of Canonical Correlation Analysis into Multivariate Maximum Margin Learning. Ghent University Academic Bibliography (Ghent University). 211–216.11 indexed citations
17.
Bie, Tijl De. (2007). Deploying SDP for machine learning. Ghent University Academic Bibliography (Ghent University). 205–210.2 indexed citations
Lanckriet, Gert, Tijl De Bie, Nello Cristianini, Michael I. Jordan, & William Stafford Noble. (2004). A Framework for Genomic Data Fusion and its Application to Membrane Protein Prediction. Bioinformatics. 20(16).4 indexed citations
20.
Bie, Tijl De & Nello Cristianini. (2003). Convex Methods for Transduction. Ghent University Academic Bibliography (Ghent University). 16. 73–80.79 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.