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.
Countries citing papers authored by Hendrik Blockeel
Since
Specialization
Citations
This map shows the geographic impact of Hendrik Blockeel'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 Hendrik Blockeel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hendrik Blockeel more than expected).
Fields of papers citing papers by Hendrik Blockeel
This network shows the impact of papers produced by Hendrik Blockeel. 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 Hendrik Blockeel. The network helps show where Hendrik Blockeel may publish in the future.
Co-authorship network of co-authors of Hendrik Blockeel
This figure shows the co-authorship network connecting the top 25 collaborators of Hendrik Blockeel.
A scholar is included among the top collaborators of Hendrik Blockeel 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 Hendrik Blockeel. Hendrik Blockeel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Blockeel, Hendrik, et al.. (2014). Look before you leap: Some insights into learner evaluation with cross-validation. Lirias (KU Leuven). 3–20.6 indexed citations
3.
Blockeel, Hendrik, et al.. (2013). Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013. Springer eBooks.2 indexed citations
4.
Meert, Wannes, Guy Van den Broeck, Nima Taghipour, et al.. (2012). Lifted inference for probabilistic programming. Lirias (KU Leuven).2 indexed citations
5.
Blockeel, Hendrik, et al.. (2010). On the importance of similarity measures for planning to learn. Lirias (KU Leuven). 69–74.1 indexed citations
6.
Blockeel, Hendrik & Siegfried Nijssen. (2008). Induction of node label controlled graph grammar rules. Lirias (KU Leuven). 1–4.5 indexed citations
Meert, Wannes, Jan Struyf, & Hendrik Blockeel. (2008). Learning Ground CP-logic Theories by means of Bayesian Network Techniques. Lirias (KU Leuven).5 indexed citations
9.
Blockeel, Hendrik, et al.. (2007). Mining Views: Database Views for Data Mining. Lirias (KU Leuven). 21–33.4 indexed citations
10.
Struyf, Jan, et al.. (2007). First Order Alternating Decision Trees. Lirias (KU Leuven).1 indexed citations
11.
Ramon, Jan, et al.. (2006). Learning an interpretable model from an ensemble in ILP. Lirias (KU Leuven). 210–212.1 indexed citations
12.
Blockeel, Hendrik. (2006). Two novel methods for learning logic programs with annotated disjunctions. Lirias (KU Leuven). 31–33.1 indexed citations
13.
Vanschoren, Joaquin & Hendrik Blockeel. (2006). Towards understanding learning behavior. Lirias (KU Leuven). 89–96.5 indexed citations
14.
Schietgat, Leander, Hendrik Blockeel, Jan Struyf, Sašo Džeroski, & Amanda Clare. (2006). Decision trees for hierarchical multilabel classification: A case study in functional genomics. Lirias (KU Leuven). 423–424.13 indexed citations
15.
Fierens, Daan, Jan Ramon, Hendrik Blockeel, & Maurice Bruynooghe. (2005). A comparison of approaches for learning first-order logical probability estimation trees. Lirias (KU Leuven). 11–16.3 indexed citations
16.
Verbaeten, Sofie, et al.. (2003). Attribute-value and first order data mining within the STULONG project. Lirias (KU Leuven). 108–119.
17.
Costa, Vı́tor Santos, Ashwin Srinivasan, Rui Camacho, et al.. (2003). Query transformations for improving the efficiency of ilp systems. Journal of Machine Learning Research. 4(4). 465–491.24 indexed citations
18.
Blockeel, Hendrik, et al.. (2003). Using neural networks for relational learning. Lirias (KU Leuven). 23–28.6 indexed citations
19.
Driessens, Kurt & Hendrik Blockeel. (2001). Learning digger using hierarchical reinforcement learning for concurrent goals. Lirias (KU Leuven). 11–12.5 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.