Nicolas Gauvrit
About
In The Last Decade
Nicolas Gauvrit
33 papers receiving 543 citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 149
- Artificial Intelligence 146
- Computational Theory and Mathematics 117
- Sociology and Political Science 111
- Experimental and Cognitive Psychology 91
Countries citing papers authored by Nicolas Gauvrit
This map shows the geographic impact of Nicolas Gauvrit'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 Nicolas Gauvrit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Gauvrit more than expected).
Fields of papers citing papers by Nicolas Gauvrit
This network shows the impact of papers produced by Nicolas Gauvrit. 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 Nicolas Gauvrit. The network helps show where Nicolas Gauvrit may publish in the future.
Co-authorship network of co-authors of Nicolas Gauvrit
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Gauvrit. A scholar is included among the top collaborators of Nicolas Gauvrit 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 Nicolas Gauvrit. Nicolas Gauvrit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | Iterated teaching can optimise language functionality | 1 |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 26 | |
| 11 | 10 | |
| 12 | 41 | |
| 13 | 38 | |
| 14 | 35 | |
| 15 | 19 | |
| 16 | 1Calculating Kolmogorov Complexity from the Output Frequency Distributions of Small Turing Machines | 82 |
| 17 | A propos du | 1 |
| 18 | 35 | |
| 19 | 0 | |
| 20 | Assessing Cognitive Randomness: A Kolmogorov Complexity Approach | 1 |
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.