Michèle Venet
- Developmental and Educational Psychology top 5%
- Education top 10%
- Artificial Intelligence
- General Decision Sciences top 5%
- Statistics and Probability top 10%
- Co-authors
- Henry MarkovitsNicole MalfaitFrance CapuanoMarie‐France MorinJean‐François BureauDenis AlamargotCatherine GosselinMarc Bigras
- Topics
- Educational and Psychological Assessments (4 papers)Child and Animal Learning Development (4 papers)Bayesian Modeling and Causal Inference (3 papers)
- Cited by
- General Decision SciencesDevelopmental and Educational PsychologyStatistics and Probability
- Journals
- SHILAP Revista de lepidopterologíaChild DevelopmentFrontiers in Psychology
- Partner nations
- CanadaUnited StatesColombia
In The Last Decade
Michèle Venet
20 papers receiving 261 citations
Peers
Comparison fields: 5 of 53
- Developmental and Educational Psychology 151
- Education 94
- Artificial Intelligence 70
- General Decision Sciences 50
- Statistics and Probability 43
Countries citing papers authored by Michèle Venet
This map shows the geographic impact of Michèle Venet'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 Michèle Venet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michèle Venet more than expected).
Fields of papers citing papers by Michèle Venet
This network shows the impact of papers produced by Michèle Venet. 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 Michèle Venet. The network helps show where Michèle Venet may publish in the future.
Co-authorship network of co-authors of Michèle Venet
This figure shows the co-authorship network connecting the top 25 collaborators of Michèle Venet. A scholar is included among the top collaborators of Michèle Venet 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 Michèle Venet. Michèle Venet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 31 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | Principals Facing Inclusive Schooling or Integration | 21 |
| 11 | 0 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | Understanding Uncertainty withAbstract Conditional Premises | 1 |
| 16 | 25 | |
| 17 | 53 | |
| 18 | 9 | |
| 19 | 34 | |
| 20 | 50 |
About Michèle Venet
Michèle Venet is a scholar working on Developmental and Educational Psychology, General Decision Sciences and Gender Studies, having authored 24 papers that have together received 291 indexed citations. Recurring topics across this work include Educational and Psychological Assessments (4 papers), Child and Animal Learning Development (4 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in General Decision Sciences (50 citations), Developmental and Educational Psychology (151 citations) and Statistics and Probability (43 citations). Michèle Venet has collaborated with scholars based in Canada, United States and Colombia. Frequent co-authors include Henry Markovits, Nicole Malfait, France Capuano, Marie‐France Morin, Jean‐François Bureau, Denis Alamargot, Catherine Gosselin, Marc Bigras, Sylvie Normandeau and Karine Dubois‐Comtois. Their work appears in journals such as SHILAP Revista de lepidopterología, Child Development and Frontiers in 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.