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 Jan Hendrik Metzen
Since
Specialization
Citations
This map shows the geographic impact of Jan Hendrik Metzen'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 Jan Hendrik Metzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Hendrik Metzen more than expected).
Fields of papers citing papers by Jan Hendrik Metzen
This network shows the impact of papers produced by Jan Hendrik Metzen. 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 Jan Hendrik Metzen. The network helps show where Jan Hendrik Metzen may publish in the future.
Co-authorship network of co-authors of Jan Hendrik Metzen
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Hendrik Metzen.
A scholar is included among the top collaborators of Jan Hendrik Metzen 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 Jan Hendrik Metzen. Jan Hendrik Metzen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Elsken, Thomas, Jan Hendrik Metzen, & Frank Hutter. (2018). Simple and efficient architecture search for Convolutional Neural Networks. International Conference on Learning Representations.16 indexed citations
6.
Elsken, Thomas, Jan Hendrik Metzen, & Frank Hutter. (2018). Multi-objective Architecture Search for CNNs.. arXiv (Cornell University).10 indexed citations
7.
Wong, Eric, Frank R. Schmidt, Jan Hendrik Metzen, & J. Zico Kolter. (2018). Scaling provable adversarial defenses. Neural Information Processing Systems. 31. 8400–8409.57 indexed citations
Metzen, Jan Hendrik. (2016). Minimum regret search for single- and multi-task optimization. International Conference on Machine Learning. 192–200.1 indexed citations
10.
Krell, Mario Michael, et al.. (2015). Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region.. National Conference on Artificial Intelligence.15 indexed citations
11.
Metzen, Jan Hendrik, et al.. (2014). Active contextual policy search. Journal of Machine Learning Research. 15(1). 3371–3399.15 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.