Lev Tankelevitch
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Social Psychology
- Co-authors
- Sean RintelMatthew F. S. RushworthElsa FouragnanAdvait SarkarMiriam C. Klein-FlüggeDavide FolloniJérôme SalletLennart Verhagen
- Topics
- Team Dynamics and Performance (7 papers)Human-Automation Interaction and Safety (4 papers)Virtual Reality Applications and Impacts (4 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Lev Tankelevitch
19 papers receiving 409 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 134
- Artificial Intelligence 77
- Biomedical Engineering 74
- Radiology, Nuclear Medicine and Imaging 53
- Social Psychology 40
Countries citing papers authored by Lev Tankelevitch
This map shows the geographic impact of Lev Tankelevitch'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 Lev Tankelevitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lev Tankelevitch more than expected).
Fields of papers citing papers by Lev Tankelevitch
This network shows the impact of papers produced by Lev Tankelevitch. 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 Lev Tankelevitch. The network helps show where Lev Tankelevitch may publish in the future.
Co-authorship network of co-authors of Lev Tankelevitch
This figure shows the co-authorship network connecting the top 25 collaborators of Lev Tankelevitch. A scholar is included among the top collaborators of Lev Tankelevitch 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 Lev Tankelevitch. Lev Tankelevitch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workersbreakdown → | 64 |
| 5 | 4 | |
| 6 | The Metacognitive Demands and Opportunities of Generative AIbreakdown → | 71 |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 38 | |
| 18 | 40 | |
| 19 | 12 | |
| 20 | 130 |
About Lev Tankelevitch
Lev Tankelevitch is a scholar working on Human-Computer Interaction, Information Systems and Management and Social Psychology, having authored 21 papers that have together received 416 indexed citations. Recurring topics across this work include Team Dynamics and Performance (7 papers), Human-Automation Interaction and Safety (4 papers) and Virtual Reality Applications and Impacts (4 papers). The work is most often cited by research in Health Informatics (19 citations), General Decision Sciences (13 citations) and Cognitive Neuroscience (134 citations). Lev Tankelevitch has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Sean Rintel, Matthew F. S. Rushworth, Elsa Fouragnan, Advait Sarkar, Miriam C. Klein-Flügge, Davide Folloni, Jérôme Sallet, Lennart Verhagen, Jean‐François Aubry and Abigail Sellen. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and Science Advances.
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.