Alexander Blanchard
- Epidemiology
- Safety Research top 5%
- Cognitive Neuroscience
- Experimental and Cognitive Psychology top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Mariarosaria TaddeoRobert MirandaPeter M. MontiJennifer W. TideyThomas H. ChunHayley Treloar PadovanoRobert M. SwiftChad Gwaltney
- Topics
- Ethics and Social Impacts of AI (14 papers)Adversarial Robustness in Machine Learning (9 papers)Neuroethics, Human Enhancement, Biomedical Innovations (7 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Alexander Blanchard
25 papers receiving 389 citations
Peers
Comparison fields: 5 of 70
- Epidemiology 140
- Safety Research 104
- Cognitive Neuroscience 89
- Experimental and Cognitive Psychology 74
- Cellular and Molecular Neuroscience 68
Countries citing papers authored by Alexander Blanchard
This map shows the geographic impact of Alexander Blanchard'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 Alexander Blanchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Blanchard more than expected).
Fields of papers citing papers by Alexander Blanchard
This network shows the impact of papers produced by Alexander Blanchard. 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 Alexander Blanchard. The network helps show where Alexander Blanchard may publish in the future.
Co-authorship network of co-authors of Alexander Blanchard
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Blanchard. A scholar is included among the top collaborators of Alexander Blanchard 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 Alexander Blanchard. Alexander Blanchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 24 | |
| 10 | 3 | |
| 11 | 34 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 35 | |
| 16 | 0 | |
| 17 | 10 | |
| 18 | 4 | |
| 19 | 15 | |
| 20 | 37 |
About Alexander Blanchard
Alexander Blanchard is a scholar working on Safety Research, Cognitive Neuroscience and Artificial Intelligence, having authored 28 papers that have together received 406 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (14 papers), Adversarial Robustness in Machine Learning (9 papers) and Neuroethics, Human Enhancement, Biomedical Innovations (7 papers). The work is most often cited by research in Safety Research (104 citations), Applied Psychology (45 citations) and Health Informatics (8 citations). Alexander Blanchard has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Mariarosaria Taddeo, Robert Miranda, Peter M. Monti, Jennifer W. Tidey, Thomas H. Chun, Hayley Treloar Padovano, Robert M. Swift, Chad Gwaltney, Alicia N. Justus and Jason J. Ramirez. Their work appears in journals such as Nature, Journal of Abnormal Psychology and Addictive Behaviors.
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.