Guillaume Marçais

14.1k total citations · 5 hit papers
27 papers, 7.3k citations indexed

About

Guillaume Marçais is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Guillaume Marçais has authored 27 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Artificial Intelligence and 4 papers in Plant Science. Recurrent topics in Guillaume Marçais's work include Genomics and Phylogenetic Studies (17 papers), Algorithms and Data Compression (10 papers) and RNA and protein synthesis mechanisms (8 papers). Guillaume Marçais is often cited by papers focused on Genomics and Phylogenetic Studies (17 papers), Algorithms and Data Compression (10 papers) and RNA and protein synthesis mechanisms (8 papers). Guillaume Marçais collaborates with scholars based in United States, Israel and Costa Rica. Guillaume Marçais's co-authors include Carl Kingsford, Aleksey V. Zimin, Steven L. Salzberg, James A. Yorke, Arthur L. Delcher, Daniela Puiu, Michael Roberts, Adam M. Phillippy, Michael C. Schatz and Sergey Koren and has published in prestigious journals such as Bioinformatics, PLoS ONE and Genetics.

In The Last Decade

Guillaume Marçais

26 papers receiving 7.2k citations

Hit Papers

A fast, lock-free approach for efficient parallel countin... 2009 2026 2014 2020 2011 2018 2013 2009 2011 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume Marçais United States 17 4.5k 2.6k 2.0k 1.1k 535 27 7.3k
Aleksey V. Zimin United States 30 3.9k 0.9× 2.5k 1.0× 1.9k 0.9× 859 0.8× 420 0.8× 62 8.1k
Brian P. Walenz United States 21 5.8k 1.3× 3.2k 1.2× 1.6k 0.8× 1.5k 1.4× 509 1.0× 30 8.9k
Jason Miller United States 19 5.5k 1.2× 2.7k 1.0× 1.8k 0.9× 1.3k 1.2× 394 0.7× 56 9.0k
Scott Schwartz United States 25 5.0k 1.1× 2.2k 0.9× 1.8k 0.9× 1.1k 1.0× 443 0.8× 36 8.4k
Christophe Dessimoz Switzerland 40 5.0k 1.1× 1.5k 0.6× 1.8k 0.9× 923 0.9× 538 1.0× 96 7.6k
Daniel R. Zerbino United Kingdom 19 6.5k 1.4× 2.7k 1.0× 1.6k 0.8× 1.9k 1.8× 694 1.3× 29 10.2k
James Bonfield United Kingdom 17 4.8k 1.1× 2.0k 0.8× 2.3k 1.2× 1.2k 1.1× 774 1.4× 19 9.2k
Gary Benson United States 25 5.4k 1.2× 2.5k 1.0× 2.1k 1.1× 889 0.8× 724 1.4× 57 8.5k
Mark Yandell United States 44 6.2k 1.4× 2.8k 1.1× 2.6k 1.3× 812 0.8× 782 1.5× 114 9.8k
Thomas Abeel United States 27 4.9k 1.1× 2.1k 0.8× 967 0.5× 1.4k 1.4× 449 0.8× 78 8.3k

Countries citing papers authored by Guillaume Marçais

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Marçais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Marçais

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Marçais. A scholar is included among the top collaborators of Guillaume Marçais 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 Guillaume Marçais. Guillaume Marçais 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.
Kingsford, Carl & Guillaume Marçais. (2025). A synthesis for uniformly 3-edge-connected graphs. Discrete Applied Mathematics. 368. 18–29.
2.
Marçais, Guillaume, et al.. (2024). k -nonical space: sketching with reverse complements. Bioinformatics. 40(11). 1 indexed citations
3.
Marçais, Guillaume, Dan DeBlasio, & Carl Kingsford. (2024). Sketching Methods with Small Window Guarantee Using Minimum Decycling Sets. Journal of Computational Biology. 31(7). 597–615. 2 indexed citations
4.
Marçais, Guillaume, et al.. (2023). Density and Conservation Optimization of the Generalized Masked-Minimizer Sketching Scheme. Journal of Computational Biology. 31(1). 2–20. 3 indexed citations
5.
Zheng, Hongyu, Guillaume Marçais, & Carl Kingsford. (2023). Creating and Using Minimizer Sketches in Computational Genomics. Journal of Computational Biology. 30(12). 1251–1276. 8 indexed citations
6.
Zheng, Hongyu, Carl Kingsford, & Guillaume Marçais. (2021). Sequence-specific minimizers via polar sets. Bioinformatics. 37(Supplement_1). i187–i195. 17 indexed citations
7.
Zheng, Hongyu, Carl Kingsford, & Guillaume Marçais. (2020). Improved design and analysis of practical minimizers. Bioinformatics. 36(Supplement_1). i119–i127. 30 indexed citations
8.
Zheng, Hongyu, Carl Kingsford, & Guillaume Marçais. (2020). Lower Density Selection Schemes via Small Universal Hitting Sets with Short Remaining Path Length. Journal of Computational Biology. 28(4). 395–409. 8 indexed citations
9.
Marçais, Guillaume, Dan DeBlasio, Prashant Pandey, & Carl Kingsford. (2019). Locality-sensitive hashing for the edit distance. Bioinformatics. 35(14). i127–i135. 39 indexed citations
10.
Marçais, Guillaume, Brad Solomon, Rob Patro, & Carl Kingsford. (2019). Sketching and Sublinear Data Structures in Genomics. 2(1). 93–118. 24 indexed citations
11.
Marçais, Guillaume, Dan DeBlasio, & Carl Kingsford. (2018). Asymptotically optimal minimizers schemes. Bioinformatics. 34(13). i13–i22. 33 indexed citations
12.
Marçais, Guillaume, et al.. (2018). MUMmer4: A fast and versatile genome alignment system. PLoS Computational Biology. 14(1). e1005944–e1005944. 1331 indexed citations breakdown →
13.
Marçais, Guillaume, et al.. (2017). Improving the performance of minimizers and winnowing schemes. Bioinformatics. 33(14). i110–i117. 43 indexed citations
14.
Orenstein, Yaron, David Pellow, Guillaume Marçais, Ron Shamir, & Carl Kingsford. (2017). Designing small universal k-mer hitting sets for improved analysis of high-throughput sequencing. PLoS Computational Biology. 13(10). e1005777–e1005777. 29 indexed citations
15.
Zimin, Aleksey V., Daniela Puiu, Ming‐Cheng Luo, et al.. (2017). Hybrid assembly of the large and highly repetitive genome of Aegilops tauschii , a progenitor of bread wheat, with the MaSuRCA mega-reads algorithm. Genome Research. 27(5). 787–792. 274 indexed citations
16.
Zimin, Aleksey V., Adam Cornish, Robert Gibbs, et al.. (2014). A new rhesus macaque assembly and annotation for next-generation sequencing analyses. Biology Direct. 9(1). 20–20. 126 indexed citations
17.
Salzberg, Steven L., Adam M. Phillippy, Aleksey V. Zimin, et al.. (2012). GAGE: A critical evaluation of genome assemblies and assembly algorithms (Genome Research (2012) 22 (557-567)). Genome Research. 22(6). 3 indexed citations
18.
Zimin, Aleksey V., David R. Kelley, Michael Roberts, et al.. (2012). Mis-Assembled “Segmental Duplications” in Two Versions of the Bos taurus Genome. PLoS ONE. 7(8). e42680–e42680. 20 indexed citations
19.
Marçais, Guillaume & Carl Kingsford. (2011). A fast, lock-free approach for efficient parallel counting of occurrences of k -mers. Bioinformatics. 27(6). 764–770. 2756 indexed citations breakdown →
20.
Salzberg, Steven L., Adam M. Phillippy, Aleksey V. Zimin, et al.. (2011). GAGE: A critical evaluation of genome assemblies and assembly algorithms. Genome Research. 22(3). 557–567. 471 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.

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