Guillem Rigaill

1.1k total citations
15 papers, 633 citations indexed

About

Guillem Rigaill is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Guillem Rigaill has authored 15 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Statistics and Probability. Recurrent topics in Guillem Rigaill's work include Gene expression and cancer classification (8 papers), Statistical Methods and Inference (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Guillem Rigaill is often cited by papers focused on Gene expression and cancer classification (8 papers), Statistical Methods and Inference (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Guillem Rigaill collaborates with scholars based in France, Mexico and United Kingdom. Guillem Rigaill's co-authors include Emmanuel Barillot, Marc‐Henri Stern, Élodie Manié, Tatiana Popova, Dominique Stoppa‐Lyonnet, Stéphane Robin, Guillaume Montagnac, Floria Lizárraga, Renaud Poincloux and Isabelle Bonne and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Guillem Rigaill

14 papers receiving 616 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guillem Rigaill France 12 244 175 174 122 75 15 633
Hiroko Kato Solvang Norway 16 575 2.4× 275 1.6× 120 0.7× 52 0.4× 12 0.2× 39 905
Adam L. MacLean United States 18 563 2.3× 103 0.6× 37 0.2× 141 1.2× 9 0.1× 36 1.1k
Junyuan Wu United States 6 704 2.9× 384 2.2× 181 1.0× 41 0.3× 22 0.3× 7 1.2k
David Stivers United States 21 866 3.5× 205 1.2× 616 3.5× 70 0.6× 14 0.2× 37 1.6k
Živana Težak United States 13 448 1.8× 111 0.6× 171 1.0× 41 0.3× 18 0.2× 21 777
Esha T. Shah Australia 13 216 0.9× 47 0.3× 39 0.2× 75 0.6× 14 0.2× 32 457
Nikolaos Ignatiadis United States 6 298 1.2× 90 0.5× 79 0.5× 40 0.3× 76 1.0× 11 560
Bernard Prum France 20 422 1.7× 54 0.3× 431 2.5× 41 0.3× 27 0.4× 36 1.4k
Ernest Turro United Kingdom 18 712 2.9× 134 0.8× 282 1.6× 24 0.2× 7 0.1× 39 1.2k
Daniel Edsgärd Sweden 11 1.1k 4.6× 187 1.1× 243 1.4× 33 0.3× 10 0.1× 14 1.4k

Countries citing papers authored by Guillem Rigaill

Since Specialization
Citations

This map shows the geographic impact of Guillem Rigaill'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 Guillem Rigaill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillem Rigaill more than expected).

Fields of papers citing papers by Guillem Rigaill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillem Rigaill. 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 Guillem Rigaill. The network helps show where Guillem Rigaill may publish in the future.

Co-authorship network of co-authors of Guillem Rigaill

This figure shows the co-authorship network connecting the top 25 collaborators of Guillem Rigaill. A scholar is included among the top collaborators of Guillem Rigaill 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 Guillem Rigaill. Guillem Rigaill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Rigaill, Guillem, et al.. (2024). Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty. Journal of Computational and Graphical Statistics. 34(2). 707–717.
2.
Hocking, Toby Dylan, et al.. (2023). gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection. Journal of Statistical Software. 106(6). 3 indexed citations
3.
Rigaill, Guillem, Toby Dylan Hocking, Robert Maidstone, & Paul Fearnhead. (2019). Segmentation using Optimal Partitioning and Function Pruning [R package fpop version 2019.08.26]. 1 indexed citations
4.
Célisse, Alain, et al.. (2018). New efficient algorithms for multiple change-point detection with reproducing kernels. Computational Statistics & Data Analysis. 128. 200–220. 41 indexed citations
5.
Brandenburg, Jean‐Tristan, Tristan Mary‐Huard, Guillem Rigaill, et al.. (2017). Independent introductions and admixtures have contributed to adaptation of European maize and its American counterparts. PLoS Genetics. 13(3). e1006666–e1006666. 52 indexed citations
6.
Chiquet, Julien, et al.. (2015). Fast Tree Inference With Weighted Fusion Penalties. Journal of Computational and Graphical Statistics. 26(1). 205–216. 11 indexed citations
7.
Cleynen, Alice, et al.. (2014). Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data. Algorithms for Molecular Biology. 9(1). 6–6. 19 indexed citations
8.
Rigaill, Guillem, et al.. (2014). Performance evaluation of DNA copy number segmentation methods. Briefings in Bioinformatics. 16(4). 600–615. 14 indexed citations
9.
Vincent‐Salomon, Anne, Vanessa Benhamo, Eléonore Gravier, et al.. (2013). Genomic Instability: A Stronger Prognostic Marker Than Proliferation for Early Stage Luminal Breast Carcinomas. PLoS ONE. 8(10). e76496–e76496. 14 indexed citations
10.
Picard, Franck, et al.. (2011). Joint segmentation, calling, and normalization of multiple CGH profiles. Biostatistics. 12(3). 413–428. 82 indexed citations
11.
Rigaill, Guillem, et al.. (2011). Exact posterior distributions and model selection criteria for multiple change-point detection problems. Statistics and Computing. 22(4). 917–929. 35 indexed citations
12.
Rigaill, Guillem. (2010). Pruned dynamic programming for optimal multiple change-point detection. arXiv (Cornell University). 47 indexed citations
13.
Lizárraga, Floria, Renaud Poincloux, Maryse Romao, et al.. (2009). Diaphanous-Related Formins Are Required for Invadopodia Formation and Invasion of Breast Tumor Cells. Cancer Research. 69(7). 2792–2800. 152 indexed citations
14.
Popova, Tatiana, Élodie Manié, Dominique Stoppa‐Lyonnet, et al.. (2009). Genome Alteration Print (GAP): a tool to visualize and mine complex cancer genomic profiles obtained by SNP arrays. Genome biology. 10(11). R128–R128. 118 indexed citations
15.
Bollet, Marc A., Nicolas Servant, Pierre Neuvial, et al.. (2007). High-Resolution Mapping of DNA Breakpoints to Define True Recurrences Among Ipsilateral Breast Cancers. JNCI Journal of the National Cancer Institute. 100(1). 48–58. 44 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.

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