Stanislas Lauly
About
In The Last Decade
Stanislas Lauly
3 papers receiving 123 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 115
- Computer Vision and Pattern Recognition 36
- Information Systems 14
- Signal Processing 12
- General Social Sciences 11
Countries citing papers authored by Stanislas Lauly
This map shows the geographic impact of Stanislas Lauly'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 Stanislas Lauly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislas Lauly more than expected).
Fields of papers citing papers by Stanislas Lauly
This network shows the impact of papers produced by Stanislas Lauly. 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 Stanislas Lauly. The network helps show where Stanislas Lauly may publish in the future.
Co-authorship network of co-authors of Stanislas Lauly
This figure shows the co-authorship network connecting the top 25 collaborators of Stanislas Lauly. A scholar is included among the top collaborators of Stanislas Lauly 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 Stanislas Lauly. Stanislas Lauly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 6 | |
| 3 | A Neural Autoregressive Topic Model | 110 |
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.