Marc-André Gardner

2.6k citations
11 papers · 1.7k · 1 hit paper · h-index 8

Impact in

Papers in

    • Evolutionary Algorithms and Applications 4
    • Metaheuristic Optimization Algorithms Research 2
    • Advanced Fluorescence Microscopy Techniques 3
    • Cell Image Analysis Techniques 2

Marc-André Gardner

11 papers receiving 1.6k citations

Marc-André Gardner's Hit Papers

DEAP: evolutionary algorithms made easy 2012 · 1.1k citations
1.1k0+4+9Years since publication2505007501000

Peers

Marc-André Gardner
Comparison fields: 5 of 148
  • Computer Graphics and Computer-Aided Design 103
  • Computer Vision and Pattern Recognition 291
  • Artificial Intelligence 428
  • Automotive Engineering 133
  • Computational Theory and Mathematics 173
Replace Antonia Creswell with:
Antonia Creswell United Kingdom
Tom White New Zealand
Xiaojuan Ban China
Sanguthevar Rajasekaran United States
Mingjun Zhong China
Serhii Havrylov Ukraine
Qian Sun China
Jeffrey A. Bilmes United States
Baosheng Yu China
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Citations per field
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Citations per year

Countries citing papers authored by Marc-André Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Marc-André Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Marc-André Gardner, 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-André Gardner Line = papers co-authored together Marc-André Gardner links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
DEAP: evolutionary algorithms made easy
Hit paper breakdown →
20121106
2 2017190
3 2018162
4 2012121
5 201849
6 202030
7 201414
8 20107
9 20184
10 20154
11 20134

About Marc-André Gardner

Marc-André Gardner is a scholar working on Artificial Intelligence, Biophysics, Computer Networks and Communications, Computational Theory and Mathematics and Molecular Biology, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Metaheuristic Optimization Algorithms Research (2 papers), Distributed and Parallel Computing Systems (2 papers), Cell Image Analysis Techniques (2 papers), Neuroscience and Neural Engineering (1 paper), Optical Coherence Tomography Applications (1 paper) and demographic modeling and climate adaptation (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (103 citations), Computer Vision and Pattern Recognition (291 citations), Artificial Intelligence (428 citations), Automotive Engineering (133 citations) and Computational Theory and Mathematics (173 citations). Marc-André Gardner has collaborated with scholars based in Canada and United States. Frequent co-authors include Christian Gagné, Marc Parizeau, Félix-Antoine Fortin, François-Michel De Rainville, Ersin Yumer, Kalyan Sunkavalli, Xiaohui Shen, Jean‐François Lalonde, Emiliano Gambaretto and Paul De Koninck. Their work appears in journals such as Nature Communications, Genetic Programming and Evolvable Machines, ACM Transactions on Graphics, IEEE Transactions on Smart Grid and Journal of Machine Learning Research.

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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