Carlos Lassance
About
In The Last Decade
Carlos Lassance
16 papers receiving 116 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 101
- Computer Vision and Pattern Recognition 61
- Information Systems 29
- Computer Networks and Communications 5
- Signal Processing 4
Countries citing papers authored by Carlos Lassance
This map shows the geographic impact of Carlos Lassance'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 Lassance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Lassance more than expected).
Fields of papers citing papers by Carlos Lassance
This network shows the impact of papers produced by Carlos Lassance. 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 Lassance. The network helps show where Carlos Lassance may publish in the future.
Co-authorship network of co-authors of Carlos Lassance
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Lassance. A scholar is included among the top collaborators of Carlos Lassance 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 Lassance. Carlos Lassance is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 50 | |
| 10 | 4 | |
| 11 | 32 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning | 1 |
| 17 | Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense. | 3 |
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.