Pierre Peterlongo

3.7k total citations
52 papers, 818 citations indexed

About

Pierre Peterlongo is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Pierre Peterlongo has authored 52 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 21 papers in Artificial Intelligence and 10 papers in Genetics. Recurrent topics in Pierre Peterlongo's work include Genomics and Phylogenetic Studies (34 papers), Algorithms and Data Compression (21 papers) and RNA and protein synthesis mechanisms (11 papers). Pierre Peterlongo is often cited by papers focused on Genomics and Phylogenetic Studies (34 papers), Algorithms and Data Compression (21 papers) and RNA and protein synthesis mechanisms (11 papers). Pierre Peterlongo collaborates with scholars based in France, United Kingdom and Italy. Pierre Peterlongo's co-authors include Rayan Chikhi, Claire Lemaitre, Dominique Lavenier, Antoine Limasset, Vincent Lacroix, Raluca Uricaru, Marie-France Sagot, Erwan Drézen, Guillaume Rizk and Mahendra Mariadassou and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Pierre Peterlongo

51 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Peterlongo France 15 616 147 138 138 124 52 818
Minh Duc Cao Australia 14 545 0.9× 331 2.3× 102 0.7× 158 1.1× 93 0.8× 39 990
Ganeshkumar Ganapathy United States 5 591 1.0× 208 1.4× 166 1.2× 44 0.3× 129 1.0× 5 787
Yuichi Kodama Japan 18 1.0k 1.7× 193 1.3× 208 1.5× 46 0.3× 150 1.2× 25 1.3k
Guillaume Rizk France 10 572 0.9× 177 1.2× 102 0.7× 246 1.8× 116 0.9× 12 804
Isaac Turner United Kingdom 9 588 1.0× 215 1.5× 94 0.7× 68 0.5× 413 3.3× 12 897
Marek Kokot Poland 6 442 0.7× 163 1.1× 79 0.6× 140 1.0× 113 0.9× 12 620
Broňa Brejová Slovakia 16 504 0.8× 133 0.9× 81 0.6× 104 0.8× 70 0.6× 52 704
Haoyu Cheng China 10 481 0.8× 234 1.6× 93 0.7× 44 0.3× 126 1.0× 19 694
Andrew Hollinger Canada 2 433 0.7× 71 0.5× 76 0.6× 42 0.3× 151 1.2× 3 577

Countries citing papers authored by Pierre Peterlongo

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Peterlongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Peterlongo

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

All Works

20 of 20 papers shown
1.
Marijon, Pierre, et al.. (2024). Back to sequences: Find the origin of k-mers. The Journal of Open Source Software. 9(101). 7066–7066. 1 indexed citations
2.
Dufresne, Yoann, Pierre Marijon, Pierre Peterlongo, et al.. (2022). The K-mer File Format: a standardized and compact disk representation of sets ofk-mers. Bioinformatics. 38(18). 4423–4425. 5 indexed citations
3.
Medvedev, Paul, et al.. (2022). kmtricks: efficient and flexible construction of Bloom filters for large sequencing data collections. Bioinformatics Advances. 2(1). vbac029–vbac029. 14 indexed citations
4.
Peterlongo, Pierre, et al.. (2020). SVJedi: genotyping structural variations with long reads. Bioinformatics. 36(17). 4568–4575. 12 indexed citations
5.
Gauthier, Jérémy, Tomasz Suchan, Nadir Álvarez, et al.. (2020). DiscoSnp-RAD: de novo detection of small variants for RAD-Seq population genomics. PeerJ. 8. e9291–e9291. 13 indexed citations
6.
Marchet, Camille, et al.. (2019). ELECTOR: evaluator for long reads correction methods. NAR Genomics and Bioinformatics. 2(1). 5 indexed citations
7.
Limasset, Antoine, Jean‐François Flot, & Pierre Peterlongo. (2019). Toward perfect reads: self-correction of short reads via mapping on de Bruijn graphs. Bioinformatics. 36(5). 1374–1381. 19 indexed citations
8.
Benoit, Gaëtan, Mahendra Mariadassou, Stéphane Robin, et al.. (2019). SimkaMin: fast and resource frugal de novo comparative metagenomics. Bioinformatics. 36(4). 1275–1276. 9 indexed citations
9.
Marchet, Camille, Corinne Da Silva, Corinne Cruaud, et al.. (2018). De novo clustering of long reads by gene from transcriptomics data. Nucleic Acids Research. 47(1). e2–e2. 30 indexed citations
10.
Marchet, Camille, Erwan Corre, Pierre Peterlongo, et al.. (2018). A de novo approach to disentangle partner identity and function in holobiont systems. Microbiome. 6(1). 105–105. 36 indexed citations
11.
Bras, Yvan Le, Olivier Collin, Vincent Lacroix, et al.. (2016). Colib'read on galaxy: a tools suite dedicated to biological information extraction from raw NGS reads. GigaScience. 5(1). 9–9. 3 indexed citations
12.
Limasset, Antoine, et al.. (2016). Read mapping on de Bruijn graphs. BMC Bioinformatics. 17(1). 237–237. 41 indexed citations
13.
Loux, Valentin, Mahendra Mariadassou, S. Almeida, et al.. (2015). Mutations and genomic islands can explain the strain dependency of sugar utilization in 21 strains of Propionibacterium freudenreichii. BMC Genomics. 16(1). 296–296. 28 indexed citations
14.
Federico, Maria, Pierre Peterlongo, Nadia Pisanti, & Marie-France Sagot. (2013). Rime : Repeat identification. Discrete Applied Mathematics. 163. 275–286. 2 indexed citations
15.
Holley, Guillaume & Pierre Peterlongo. (2012). BlastGraph: Intensive Approximate Pattern Matching in Sequence Graphs and de-Bruijn Graphs.. 53–63. 2 indexed citations
16.
Peterlongo, Pierre & Rayan Chikhi. (2012). Mapsembler, targeted and micro assembly of large NGS datasets on a desktop computer. BMC Bioinformatics. 13(1). 48–48. 26 indexed citations
17.
Peterlongo, Pierre, et al.. (2009). Lossless filter for multiple repeats with bounded edit distance. Algorithms for Molecular Biology. 4(1). 3–3. 14 indexed citations
18.
Gallé, Matthias, Pierre Peterlongo, & F Coste. (2008). In-place Update of Suffix Array while Recoding Words. HAL (Le Centre pour la Communication Scientifique Directe). 54–67. 2 indexed citations
19.
Antoniou, Pavlos, Maxime Crochemore, Costas S. Iliopoulos, & Pierre Peterlongo. (2007). Application of suffix trees for the acquisition of common motifs with gaps in a set of strings. HAL (Le Centre pour la Communication Scientifique Directe). 57–66. 4 indexed citations
20.
Peterlongo, Pierre, et al.. (2006). The Gapped-Factor Tree. HAL (Le Centre pour la Communication Scientifique Directe). 182–196. 1 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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