Mathilde Lamotte

414 citations
10 papers · 313 indexed · h-index 6

Mathilde Lamotte

9 papers receiving 300 citations

Peers

Mathilde Lamotte
Comparison fields: 5 of 43
  • Experimental and Cognitive Psychology 142
  • Cognitive Neuroscience 198
  • Music 17
  • Statistics and Probability 29
  • Social Psychology 68
Replace Sietske W. Kleibeuker with:
Sietske W. Kleibeuker Netherlands
Gabriela Krumm Argentina
Darlene DeMarie United States
Milton J. Dehn United States
Mariale M. Hardiman United States
Deanna C. Friesen Canada
Simon Tobin Canada
Anat Kasirer Israel
Celal Perihan United States
Connie Barroso United States
Mathilde Lamotte relative to Sietske W. Kleibeuker Netherlands Sietske W. Kleibeuker's profile →
Citations per field
00.5×4.8×
Sietske W. Kleibeuker · 1×
Citations per year

Countries citing papers authored by Mathilde Lamotte

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Lamotte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Mathilde Lamotte, 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 Mathilde Lamotte Line = papers co-authored together Mathilde Lamotte links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20215
2 201866
3 20175
4 20171
5 201724
6 201528
7 201436
8 2013113
9 201234
10
[Sensory polyneuritic form of lead poisoning].
19621

About Mathilde Lamotte

Mathilde Lamotte is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Sensory Systems, Computer Science Applications and Statistics and Probability, having authored 10 papers that have together received 313 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (6 papers), Multisensory perception and integration (4 papers), Heavy Metal Exposure and Toxicity (1 paper), Online Learning and Analytics (1 paper), Cognitive and developmental aspects of mathematical skills (1 paper), Teacher Education and Leadership Studies (1 paper), Memory Processes and Influences (1 paper) and Educational Environments and Student Outcomes (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (142 citations), Cognitive Neuroscience (198 citations), Music (17 citations), Statistics and Probability (29 citations) and Social Psychology (68 citations). Mathilde Lamotte has collaborated with scholars based in France and Luxembourg. Frequent co-authors include Sylvie Droit‐Volet, Sophie Fayolle, Sandrine Gil, Caroline Desombre, Mickaël Jury, Marie Izaute, Marie Izaute, N. Chakroun, Céline Darnon and M Grivaux. Their work appears in journals such as Timing & Time Perception, Consciousness and Cognition, Educational Psychology, L’Année psychologique and Journal of Cognitive Psychology.

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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