Nicholas Léonard
Impact in
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- Artificial Intelligence in Healthcare and Education
- Visual Arts and Performing Arts top 10%
- Art Education and Development
Papers in
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- Art Education and Development 3
- Art, Technology, and Culture 1
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- Museums and Cultural Heritage 2
- Co-authors
- Stephanie Choi (1 shared paper)Ryan Chen (1 shared paper)Nikki Levin (1 shared paper)Yuying Zhang (1 shared paper)Andrés Vidal-Gadea (1 shared paper)April Deng (1 shared paper)Patrick O’Donnell (1 shared paper)Jie Fu (1 shared paper)
- Journals
- Art Education (3 papers)Journal of the American Academy of Dermatology (1 paper)Progress in community health partnerships (1 paper)Studies in Art Education (1 paper)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- United States
In The Last Decade
Nicholas Léonard
8 papers receiving 56 citations
Peers
Comparison fields: 5 of 43
- Health Informatics 6
- Visual Arts and Performing Arts 17
- Human-Computer Interaction 16
- Computer Graphics and Computer-Aided Design 9
- Museology 5
Countries citing papers authored by Nicholas Léonard
This map shows the geographic impact of Nicholas Léonard'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 Nicholas Léonard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Léonard more than expected).
Fields of papers citing papers by Nicholas Léonard
This network shows the impact of papers produced by Nicholas Léonard. 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 Nicholas Léonard. The network helps show where Nicholas Léonard may publish in the future.
Co-authors
The 14 scholars most cited alongside Nicholas Léonard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 26 | |
| 2 | 2023 | 11 | |
| 3 | 2020 | 11 | |
| 4 | EMERGING ARTIFICIAL INTELLIGENCE, ART AND PEDAGOGY: EXPLORING DISCUSSIONS OF CREATIVE ALGORITHMS AND MACHINES FOR ART EDUCATION | 2021 | 7 |
| 5 | 2022 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2018 | 1 | |
| 8 | 2021 | 1 | |
| 9 | Deep Reinforcement Learning for Accelerating the Convergence Rate | 2016 | 0 |
| 10 | 2024 | 0 | |
| 11 | 2023 | 0 |
About Nicholas Léonard
Nicholas Léonard is a scholar working on Visual Arts and Performing Arts, Museology, Cultural Studies, Health and General Health Professions, having authored 11 papers that have together received 62 indexed citations. Recurring topics across this work include Art Education and Development (3 papers), Posthumanist Ethics and Activism (2 papers), Museums and Cultural Heritage (2 papers), Virtual Reality Applications and Impacts (1 paper), Art, Technology, and Culture (1 paper), Augmented Reality Applications (1 paper), Neural Networks and Applications (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (6 citations), Visual Arts and Performing Arts (17 citations), Human-Computer Interaction (16 citations), Computer Graphics and Computer-Aided Design (9 citations) and Museology (5 citations). Nicholas Léonard has collaborated with scholars based in United States. Frequent co-authors include Stephanie Choi, Ryan Chen, Nikki Levin, Yuying Zhang, Andrés Vidal-Gadea, April Deng, Patrick O’Donnell, Jie Fu, Natalie Sampson and Madiha Tariq. Their work appears in journals such as Art Education, Journal of the American Academy of Dermatology, Progress in community health partnerships, Studies in Art Education and SHILAP Revista de lepidopterología.
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.