Mathieu Emily

834 citations
38 papers · 666 · h-index 12

Impact in

Papers in

    • Virtual Reality Applications and Impacts 5
    • Interactive and Immersive Displays 4
    • Genetic Associations and Epidemiology 8
    • Genetic Mapping and Diversity in Plants and Animals 3

Mathieu Emily

35 papers receiving 658 citations

Peers

Mathieu Emily
Comparison fields: 5 of 113
  • Human-Computer Interaction 192
  • Cognitive Neuroscience 120
  • Genetics 130
  • Nutrition and Dietetics 52
  • Molecular Biology 233
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Citations per year

Countries citing papers authored by Mathieu Emily

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Emily

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathieu Emily, 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 Mathieu Emily Line = papers co-authored together Mathieu Emily links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009112
2 2013109
3 201079
4
Shake-Your-Head: Revisiting Walking-In-Place for Desktop Virtual Reality
201056
5 201845
6 201034
7 201933
8 202129
9 201623
10 201515
11 201114
12 201212
13 201812
14 202110
15 202210
16 20179
17
A survey of statistical methods for gene-gene interaction in case-control genome-wide association studies
20189
18 20168
19 20247
20 20075

About Mathieu Emily

Mathieu Emily is a scholar working on Human-Computer Interaction, Genetics, Soil Science, Cognitive Neuroscience and Molecular Biology, having authored 38 papers that have together received 666 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Virtual Reality Applications and Impacts (5 papers), Interactive and Immersive Displays (4 papers), Tactile and Sensory Interactions (4 papers), Bioinformatics and Genomic Networks (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers) and Evacuation and Crowd Dynamics (2 papers). The work is most often cited by research in Human-Computer Interaction (192 citations), Cognitive Neuroscience (120 citations), Genetics (130 citations), Nutrition and Dietetics (52 citations) and Molecular Biology (233 citations). Mathieu Emily has collaborated with scholars based in France, Denmark and United States. Frequent co-authors include Christian Delamarche, Anatole Lécuyer, Maud Marchal, Bruno Arnaldi, Franck Multon, Thomas Mailund, Leif Schauser, Mikkel Heide Schierup, Jotun Hein and Claire Bourlieu‐Lacanal. Their work appears in journals such as PLoS ONE, Statistical Methods in Medical Research, mSystems, Ecological Processes and Computational Statistics & Data Analysis.

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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