Carlos Florensa
About
In The Last Decade
Carlos Florensa
5 papers receiving 65 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 40
- Control and Systems Engineering 23
- Computer Vision and Pattern Recognition 12
- Computational Theory and Mathematics 7
- Strategy and Management 5
Countries citing papers authored by Carlos Florensa
This map shows the geographic impact of Carlos Florensa'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 Carlos Florensa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Florensa more than expected).
Fields of papers citing papers by Carlos Florensa
This network shows the impact of papers produced by Carlos Florensa. 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 Carlos Florensa. The network helps show where Carlos Florensa may publish in the future.
Co-authorship network of co-authors of Carlos Florensa
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Florensa. A scholar is included among the top collaborators of Carlos Florensa 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 Carlos Florensa. Carlos Florensa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Automatic Goal Generation for Reinforcement Learning Agents | 29 |
| 3 | 20 | |
| 4 | Stochastic Neural Networks for Hierarchical Reinforcement Learning | 14 |
| 5 | 4 |
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.