Eric Viara

3.8k total citations · 1 hit paper
16 papers, 1.9k citations indexed

About

Eric Viara is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Eric Viara has authored 16 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Eric Viara's work include Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (6 papers) and Gene expression and cancer classification (4 papers). Eric Viara is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (6 papers) and Gene expression and cancer classification (4 papers). Eric Viara collaborates with scholars based in France, Sweden and China. Eric Viara's co-authors include Emmanuel Barillot, Jean‐Philippe Vert, Nelle Varoquaux, Bryan R. Lajoie, Job Dekker, Nicolas Servant, Édith Heard, Laurence Calzone, Andreï Zinovyev and Gautier Stoll and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome biology.

In The Last Decade

Eric Viara

16 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

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.

HiC-Pro: an optimized and flexible pipeline for Hi-C data processing

2015 1.4k citations Nicolas Servant, Nelle Varoquaux et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Viara France	9	1.6k	575	363	136	131	16	1.9k
Seth Carbon United States	9	1.2k 0.8×	270 0.5×	271 0.7×	166 1.2×	132 1.0×	16	1.8k
Nomi L. Harris United States	18	1.7k 1.1×	304 0.5×	494 1.4×	74 0.5×	108 0.8×	44	2.4k
Morgane Thomas‐Chollier France	21	1.8k 1.1×	447 0.8×	443 1.2×	164 1.2×	250 1.9×	37	2.4k
R. Daniel Kortschak Australia	18	1.1k 0.7×	427 0.7×	257 0.7×	166 1.2×	137 1.0×	33	1.6k
Daniel Barrell United Kingdom	12	1.6k 1.0×	255 0.4×	230 0.6×	108 0.8×	96 0.7×	14	2.1k
Arnaud Kerhornou United Kingdom	8	848 0.5×	295 0.5×	398 1.1×	171 1.3×	98 0.7×	9	1.4k
Jean-Jack M. Riethoven United States	22	981 0.6×	733 1.3×	221 0.6×	107 0.8×	91 0.7×	61	1.8k
Andrew Yates United Kingdom	14	1.1k 0.7×	321 0.6×	317 0.9×	126 0.9×	74 0.6×	30	1.6k
Rasmus Wernersson Denmark	15	1.1k 0.7×	204 0.4×	264 0.7×	110 0.8×	122 0.9×	27	1.6k
Şerban Nacu United States	9	1.2k 0.7×	347 0.6×	401 1.1×	251 1.8×	198 1.5×	10	1.9k

Countries citing papers authored by Eric Viara

Since Specialization

Citations

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

Fields of papers citing papers by Eric Viara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Viara

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Stoll, Gautier, Aurélien Naldi, Vincent Noël, et al.. (2022). UPMaBoSS: A Novel Framework for Dynamic Cell Population Modeling. Frontiers in Molecular Biosciences. 9. 800152–800152. 6 indexed citations

Noël, Vincent, Gautier Stoll, Eric Viara, et al.. (2021). WebMaBoSS: A Web Interface for Simulating Boolean Models Stochastically. Frontiers in Molecular Biosciences. 8. 754444–754444. 3 indexed citations

Viara, Eric, et al.. (2017). NaviCom: a web application to create interactive molecular network portraits using multi-level omics data. Database. 2017(1). 8 indexed citations

Stoll, Gautier, Eric Viara, Aurélien Dugourd, et al.. (2017). MaBoSS 2.0: an environment for stochastic Boolean modeling. Bioinformatics. 33(14). 2226–2228. 74 indexed citations

Servant, Nicolas, Nelle Varoquaux, Bryan R. Lajoie, et al.. (2015). HiC-Pro: an optimized and flexible pipeline for Hi-C data processing. Genome biology. 16(1). 259–259. 1422 indexed citations breakdown →

Kuperstein, Inna, Éric Bonnet, Ha Nam Nguyen, et al.. (2015). Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps. Oncogenesis. 4(7). e160–e160. 86 indexed citations

Bonnet, Éric, Eric Viara, Inna Kuperstein, et al.. (2015). NaviCell Web Service for network-based data visualization. Nucleic Acids Research. 43(W1). W560–W565. 25 indexed citations

Bernard, Elsa, Laurent Jacob, Julien Mairal, Eric Viara, & Jean‐Philippe Vert. (2015). A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples. BMC Bioinformatics. 16(1). 262–262. 5 indexed citations

Kuperstein, Inna, David Cohen, Stuart Pook, et al.. (2013). NaviCell: a web-based environment for navigation, curation and maintenance of large molecular interaction maps. BMC Systems Biology. 7(1). 100–100. 36 indexed citations

10.

Stoll, Gautier, Eric Viara, Emmanuel Barillot, & Laurence Calzone. (2012). Continuous time boolean modeling for biological signaling: application of Gillespie algorithm. BMC Systems Biology. 6(1). 116–116. 88 indexed citations

11.

Zinovyev, Andreï, Eric Viara, Laurence Calzone, & Emmanuel Barillot. (2007). BiNoM: a Cytoscape plugin for manipulating and analyzing biological networks. Bioinformatics. 24(6). 876–877. 71 indexed citations

12.

Hupé, Philippe, et al.. (2006). CAPweb: a bioinformatics CGH array Analysis Platform. Nucleic Acids Research. 34(Web Server). W477–W481. 28 indexed citations

13.

Rouveirol, Céline, Nicolas Stransky, Philippe Hupé, et al.. (2006). Computation of recurrent minimal genomic alterations from array-CGH data. Bioinformatics. 22(7). 849–856. 66 indexed citations

14.

Viara, Eric, Emmanuel Barillot, & Guy Vaysseix. (2003). The EYEDB OODBMS. 390–402. 3 indexed citations

15.

Barillot, Emmanuel, et al.. (1999). The HuGeMap Database: interconnection and visualization of human genome maps. Nucleic Acids Research. 27(1). 119–122. 5 indexed citations

16.

Achard, Frédéric, et al.. (1998). The new Virgil database: a service of rich links.. Bioinformatics. 14(4). 342–348. 5 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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