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.
A Linear-Time Algorithm for Finding Tree-Decompositions of Small Treewidth
Countries citing papers authored by Hans L. Bodlaender
Since
Specialization
Citations
This map shows the geographic impact of Hans L. Bodlaender'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 Hans L. Bodlaender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans L. Bodlaender more than expected).
Fields of papers citing papers by Hans L. Bodlaender
This network shows the impact of papers produced by Hans L. Bodlaender. 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 Hans L. Bodlaender. The network helps show where Hans L. Bodlaender may publish in the future.
Co-authorship network of co-authors of Hans L. Bodlaender
This figure shows the co-authorship network connecting the top 25 collaborators of Hans L. Bodlaender.
A scholar is included among the top collaborators of Hans L. Bodlaender 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 Hans L. Bodlaender. Hans L. Bodlaender is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bodlaender, Hans L., Édouard Bonnet, Dušan Knop, et al.. (2023). Treewidth Is NP-Complete on Cubic Graphs. IT University Of Copenhagen (IT University of Copenhagen).
Bodlaender, Hans L.. (1997). Treewidth: Algorithmic results and techniques. Data Archiving and Networked Services (DANS).1 indexed citations
11.
Bodlaender, Hans L.. (1997). Treewidth: Algorithmoc Techniques and Results. 19–36.68 indexed citations
12.
Gaag, Linda C. van der & Hans L. Bodlaender. (1997). Comparing Loop Cutsets and Clique Trees in Probabilistic Inference. Utrecht University Repository (Utrecht University).1 indexed citations
13.
Bodlaender, Hans L.. (1995). The Hardness of Problems on Thin Colored Graphs. Utrecht University Repository (Utrecht University).2 indexed citations
14.
Bodlaender, Hans L., Teofilo F. Gonzalez, & Ton Kloks. (1995). Complexity aspects of two-dimensional data compression. Nordic journal of computing. 2(4). 462–495.1 indexed citations
15.
Bodlaender, Hans L.. (1993). A tourist guide through treewidth. Acta Cybernetica. 11. 1–21.179 indexed citations
16.
Bodlaender, Hans L., et al.. (1992). On the Treewidth and Pathwidth of Permutation Graphs. Utrecht University Repository (Utrecht University). 9213.1 indexed citations
17.
Bodlaender, Hans L.. (1988). Planar graphs with bounded treewidth. Data Archiving and Networked Services (DANS).23 indexed citations
18.
Bodlaender, Hans L.. (1988). Some Classes of Graphs with Bounded Treewidth.. Bulletin of the European Association for Theoretical Computer Science. 36. 116–125.31 indexed citations
19.
Bodlaender, Hans L. & Jan Van Leeuwen. (1985). On the complexity of finding uniform emulations. Utrecht University Repository (Utrecht University).4 indexed citations
20.
Bodlaender, Hans L.. (1985). On Approximation algorithms for determining minimum cost emulations. Utrecht University Repository (Utrecht University).2 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.