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.
The Amsterdam Library of Object Images
2004562 citationsJan‐Mark Geusebroek, Gertjan J. Burghouts et al.International Journal of Computer Visionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Gertjan J. Burghouts
Since
Specialization
Citations
This map shows the geographic impact of Gertjan J. Burghouts'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 Gertjan J. Burghouts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gertjan J. Burghouts more than expected).
Fields of papers citing papers by Gertjan J. Burghouts
This network shows the impact of papers produced by Gertjan J. Burghouts. 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 Gertjan J. Burghouts. The network helps show where Gertjan J. Burghouts may publish in the future.
Co-authorship network of co-authors of Gertjan J. Burghouts
This figure shows the co-authorship network connecting the top 25 collaborators of Gertjan J. Burghouts.
A scholar is included among the top collaborators of Gertjan J. Burghouts 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 Gertjan J. Burghouts. Gertjan J. Burghouts is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Burghouts, Gertjan J. & Klamer Schutte. (2012). Correlations Between 48 Human Actions Improve Their Detection. TNO Repository.12 indexed citations
12.
Lefter, Iulia, Gertjan J. Burghouts, & Léon Rothkrantz. (2012). Learning the fusion of audio and video aggression assessment by meta-information from human annotations. TNO Repository. 1527–1533.10 indexed citations
13.
Bouma, Henri, et al.. (2012). A Neural-Symbolic Cognitive Agent with a Mind's Eye. National Conference on Artificial Intelligence.5 indexed citations
Burghouts, Gertjan J., A.W.M. Smeulders, & Jan‐Mark Geusebroek. (2007). The Distribution Family of Similarity Distances. UvA-DARE (University of Amsterdam). 20. 201–208.18 indexed citations
18.
Gemert, Jan van, Gertjan J. Burghouts, F.J. Seinstra, & Jan‐Mark Geusebroek. (2006). Color invariant object recognition using entropic graphs. International Journal of Imaging Systems and Technology. 16(5). 146–153.1 indexed citations
19.
Geusebroek, Jan‐Mark, Gertjan J. Burghouts, & A.W.M. Smeulders. (2004). The Amsterdam Library of Object Images. International Journal of Computer Vision. 61(1). 103–112.562 indexed citations breakdown →
20.
Burghouts, Gertjan J., et al.. (2003). An Action Selection Architecture for an Emotional Agent. University of Twente Research Information. 293–297.6 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.