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.
PyClone: statistical inference of clonal population structure in cancer
2014575 citationsAndrew Roth, Damian Yap et al.Nature Methodsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Alexandre Bouchard‐Côté
Since
Specialization
Citations
This map shows the geographic impact of Alexandre Bouchard‐Côté'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 Alexandre Bouchard‐Côté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Bouchard‐Côté more than expected).
Fields of papers citing papers by Alexandre Bouchard‐Côté
This network shows the impact of papers produced by Alexandre Bouchard‐Côté. 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 Alexandre Bouchard‐Côté. The network helps show where Alexandre Bouchard‐Côté may publish in the future.
Co-authorship network of co-authors of Alexandre Bouchard‐Côté
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Bouchard‐Côté.
A scholar is included among the top collaborators of Alexandre Bouchard‐Côté 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 Alexandre Bouchard‐Côté. Alexandre Bouchard‐Côté is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Saeedi, Ardavan & Alexandre Bouchard‐Côté. (2011). Priors over Recurrent Continuous Time Processes. Neural Information Processing Systems. 24. 2052–2060.16 indexed citations
16.
Bouchard‐Côté, Alexandre & Michael I. Jordan. (2010). Variational Inference over Combinatorial Spaces. Neural Information Processing Systems. 23. 280–288.6 indexed citations
17.
Berg-Kirkpatrick, Taylor, Alexandre Bouchard‐Côté, John DeNero, & Dan Klein. (2010). Painless Unsupervised Learning with Features. North American Chapter of the Association for Computational Linguistics. 582–590.152 indexed citations
18.
Bouchard‐Côté, Alexandre, Slav Petrov, & Dan Klein. (2009). Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs. Neural Information Processing Systems. 22. 144–152.5 indexed citations
19.
Bouchard‐Côté, Alexandre, Dan Klein, & Michael I. Jordan. (2008). Efficient Inference in Phylogenetic InDel Trees. Neural Information Processing Systems. 21. 177–184.8 indexed citations
20.
Bouchard‐Côté, Alexandre, Percy Liang, Dan Klein, & Thomas L. Griffiths. (2007). A Probabilistic Approach to Language Change. Neural Information Processing Systems. 20. 169–176.17 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.