Leila De Floriani

166 papers receiving 2.4k citations

Peers

Leila De Floriani
Comparison fields: 5 of 124
  • Computer Graphics and Computer-Aided Design 1.2k
  • Computer Vision and Pattern Recognition 1.1k
  • Computational Mechanics 661
  • Signal Processing 429
  • Computational Theory and Mathematics 405
Replace Jorge Stolfi with:
Jorge Stolfi Brazil
D. T. Lee United States
L. Paul Chew United States
Bianca Falcidieno Italy
Herbert Freeman United States
Helmut Alt Germany
Enrico Puppo Italy
Michela Spagnuolo Italy
Eugene Zhang United States
Hans Hagen Germany
Leila De Floriani relative to Jorge Stolfi Brazil Jorge Stolfi's profile →
Citations per field
00.5×1.5×
Jorge Stolfi · 1×
Citations per year

Countries citing papers authored by Leila De Floriani

Since Specialization
Citations

This map shows the geographic impact of Leila De Floriani'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 Leila De Floriani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leila De Floriani more than expected).

Fields of papers citing papers by Leila De Floriani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leila De Floriani. 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 Leila De Floriani. The network helps show where Leila De Floriani may publish in the future.

Co-authorship network of co-authors of Leila De Floriani

This figure shows the co-authorship network connecting the top 25 collaborators of Leila De Floriani. A scholar is included among the top collaborators of Leila De Floriani 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 Leila De Floriani. Leila De Floriani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 1
5 4
6
Looking for Visual Primitives
2
7 4
8
Shape Analysis and Structuring (Mathematics and Visualization)
17
9 74
10 3
11 38
12
Representation of non-manifold objects through decomposition into nearly manifold parts
2
13 6
14
Power diagram depth sorting.
7
15 7
16 30
17
Updating Visibility Information on Multiresolution Terrain Models.
4
18 16
19 2
20 1

About Leila De Floriani

Leila De Floriani is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 176 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (64 papers), Computer Graphics and Visualization Techniques (57 papers) and Digital Image Processing Techniques (42 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.2k citations), Computer Vision and Pattern Recognition (1.1k citations) and Signal Processing (429 citations). Leila De Floriani has collaborated with scholars based in Italy, United States and Serbia. Frequent co-authors include Enrico Puppo, Paola Magillo, Bianca Falcidieno, Michela Spagnuolo, Kenneth Weiss, Federico Iuricich, Silvia Ansaldi, Laura Papaleo, George Nagy and Roberto Scopigno. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and ACM Computing Surveys.

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.

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