Marc-Alexandre Nolin

923 citations
4 papers · 713 · 1 hit paper · h-index 4

Impact in

    • Semantic Web and Ontologies
    • Advanced Graph Neural Networks
    • Biomedical Text Mining and Ontologies
    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies

Papers in

Marc-Alexandre Nolin

4 papers receiving 675 citations

Marc-Alexandre Nolin's Hit Papers

Bio2RDF: Towards a mashup to build bioinformatics knowledge systems 2008 · 598 citations
5980+6+12Years since publication100200300400500

Peers

Marc-Alexandre Nolin
Comparison fields: 5 of 69
  • Artificial Intelligence 377
  • Molecular Biology 297
  • Information Systems and Management 44
  • Computational Theory and Mathematics 57
  • Information Systems 76
Replace Erick Antezana with:
Erick Antezana Norway
Elgar Pichler United States
David Campos Portugal
Florian Leitner Spain
José Cruz-Toledo Canada
François Belleau Canada
Stephan Philippi Germany
Jingbo Xia China
Nicole Tourigny Canada
Frank W. Hartel United States
Marc-Alexandre Nolin relative to Erick Antezana Norway Erick Antezana's profile →
Citations per field
00.5×2×3.1×
Erick Antezana · 1×
Citations per year

Countries citing papers authored by Marc-Alexandre Nolin

Since Specialization
Citations

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

Fields of papers citing papers by Marc-Alexandre Nolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc-Alexandre Nolin. 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 Marc-Alexandre Nolin. The network helps show where Marc-Alexandre Nolin may publish in the future.

Co-authors

The 10 scholars most cited alongside Marc-Alexandre Nolin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc-Alexandre Nolin Line = papers co-authored together Marc-Alexandre Nolin links everyone, so they are left out of the graph.

All Works

About Marc-Alexandre Nolin

Marc-Alexandre Nolin is a scholar working on Artificial Intelligence, Plant Science, Global and Planetary Change, Molecular Biology and Nuclear Energy and Engineering, having authored 4 papers that have together received 713 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Semantic Web and Ontologies (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Plant Stress Responses and Tolerance (1 paper), Plant Water Relations and Carbon Dynamics (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Artificial Intelligence (377 citations), Molecular Biology (297 citations), Information Systems and Management (44 citations), Computational Theory and Mathematics (57 citations) and Information Systems (76 citations). Marc-Alexandre Nolin has collaborated with scholars based in Australia, Canada and Czechia. Frequent co-authors include François Belleau, Philippe Rigault, Jean Morissette, Nicole Tourigny, Michel Dumontier, Jacques Corbeil, Andrew Merchant, Josquin F. G. Tibbits, Antanas Spokevicius and Caroline Müller. Their work appears in journals such as Briefings in Bioinformatics, BMC Genomics, Journal of Biomedical Informatics and Genome biology.

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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