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.
Domain Generalization for Object Recognition with Multi-task Autoencoders
2015339 citationsMuhammad Ghifary, W. Bastiaan Kleijn et al.profile →
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
2016323 citationsMuhammad Ghifary, David Balduzzi et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by David Balduzzi
Since
Specialization
Citations
This map shows the geographic impact of David Balduzzi'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 David Balduzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Balduzzi more than expected).
This network shows the impact of papers produced by David Balduzzi. 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 David Balduzzi. The network helps show where David Balduzzi may publish in the future.
Co-authorship network of co-authors of David Balduzzi
This figure shows the co-authorship network connecting the top 25 collaborators of David Balduzzi.
A scholar is included among the top collaborators of David Balduzzi 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 David Balduzzi. David Balduzzi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Balduzzi, David, et al.. (2020). From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics. 1. 7186–7196.2 indexed citations
3.
Balduzzi, David, Marta Garnelo, Yoram Bachrach, et al.. (2019). Open-ended learning in symmetric zero-sum games. UCL Discovery (University College London). 434–443.2 indexed citations
4.
Balduzzi, David, Sébastien Racanière, James Martens, et al.. (2019). Differentiable Game Mechanics. Journal of Machine Learning Research. 20(84). 1–40.6 indexed citations
5.
Balduzzi, David, Sébastien Racanière, James Martens, et al.. (2018). The Mechanics of n-Player Differentiable Games. UCL Discovery (University College London). 354–363.13 indexed citations
Biagi, Federico, David Balduzzi, Paolo Delvino, et al.. (2015). Prevalence of Whipple's disease in north-western Italy. European Journal of Clinical Microbiology & Infectious Diseases. 34(7). 1347–1348.43 indexed citations
10.
Ghifary, Muhammad, W. Bastiaan Kleijn, Mengjie Zhang, & David Balduzzi. (2015). Domain Generalization for Object Recognition with Multi-task Autoencoders. 2551–2559.339 indexed citations breakdown →
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.