Valerio Pascucci
About
In The Last Decade
Valerio Pascucci
258 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 3.6k
- Computer Graphics and Computer-Aided Design 2.9k
- Computational Theory and Mathematics 2.0k
- Computational Mechanics 1.7k
- Computer Networks and Communications 741
Countries citing papers authored by Valerio Pascucci
This map shows the geographic impact of Valerio Pascucci'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 Valerio Pascucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valerio Pascucci more than expected).
Fields of papers citing papers by Valerio Pascucci
This network shows the impact of papers produced by Valerio Pascucci. 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 Valerio Pascucci. The network helps show where Valerio Pascucci may publish in the future.
Co-authorship network of co-authors of Valerio Pascucci
This figure shows the co-authorship network connecting the top 25 collaborators of Valerio Pascucci. A scholar is included among the top collaborators of Valerio Pascucci 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 Valerio Pascucci. Valerio Pascucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 42 | |
| 9 | Dynamic PRA: an Overview of New Algorithms to Generate, Analyze and Visualize Data | 9 |
| 10 | 47 | |
| 11 | Intuitive Performance Visualization Techniques for Topological Analysis on Capability Machines | 0 |
| 12 | 3 | |
| 13 | Visualization for data-intensive science. | 5 |
| 14 | Automatic Learning of Articulated Skeletons from 3D Marker Trajectories | 1 |
| 15 | 3 | |
| 16 | 12 | |
| 17 | Finding Line Segments with Tabu Search | 3 |
| 18 | 128 | |
| 19 | 101 | |
| 20 | PLASM functional approach to design: representation of geometry | 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.