World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6811
World Ranking
11114
National Ranking
4616

Research.com Recognitions

  • 1998 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to geometric modeling and algorithm design for computer vision applications

Overview

Leila De Floriani is affiliated with the University of Maryland, College Park in the United States. Their research work spans several interrelated areas including geographic information systems, remote sensing, and computational mathematics, with a focus on topological and geometric data analysis.

The scientist has contributed to numerous publications, several of which focus on applications of LiDAR and remote sensing technology. Recent works include studies on tree segmentation and hydrographic data generalization. Notable papers include:

  • Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds (2022), published in the International Journal of Applied Earth Observation and Geoinformation
  • Label-based generalization of bathymetry data for hydrographic sounding selection (2022), published in Cartography and Geographic Information Science
  • The Stellar decomposition: A compact representation for simplicial complexes and beyond (2021), published in Computers & Graphics
  • A topology-based approach to individual tree segmentation from airborne LiDAR data (2023), published in GeoInformatica
  • Tetrahedral Trees (2020), published in ACM Transactions on Spatial Algorithms and Systems

Frequent coauthors in their body of work include Forrest Shull, Riccardo Mariani, Jyotika Athavale, Grace A. Lewis, and Hironori Washizaki. Collaboration with these researchers is evident across a range of studies and publications.

Leila De Floriani's work is regularly published in several key venues, which reflects their engagement with multiple aspects of computational science and engineering. Common publication platforms include:

  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • IEEE Transactions on Computational Social Systems
  • Proceedings of the IEEE
  • IEEE Transactions on Human-Machine Systems
  • IEEE Internet Computing

The main subfields of study connected to De Floriani's research focus on:

  • Geography, Planning and Development
  • Computer Vision and Pattern Recognition
  • Environmental Engineering
  • Oceanography
  • Computational Theory and Mathematics

The primary research topics cover a blend of data analysis and applied environmental science including:

  • Remote Sensing and LiDAR Applications
  • Geographic Information Systems Studies
  • Topological and Geometric Data Analysis
  • Data Visualization and Analytics
  • Underwater Acoustics Research
  • Data Management and Algorithms
  • Remote Sensing in Agriculture

In recognition of contributions to the field of pattern recognition, Leila De Floriani was named a Fellow of the International Association for Pattern Recognition (IAPR) in 1998 for work in geometric modeling and algorithm design for computer vision applications.

Best Publications

  • Visualization and computer graphics

    David S. Ebert;Charles D. Hansen;Georges-Pierre Bonneau;L. A. B. Gravir

  • Describing shapes by geometrical-topological properties of real functions

    S. Biasotti;L. De Floriani;B. Falcidieno;P. Frosini

  • Hierarchical triangulation for multiresolution surface description

    Leila De Floriani;Enrico Puppo

  • Geometric modeling of solid objects by using a face adjacency graph representation

    Silvia Ansaldi;Leila De Floriani;Bianca Falcidieno

  • An on-line algorithm for constrained Delaunay triangulation

    L. De Floriani;E. Puppo

  • Delaunay-based representation of surfaces defined over arbitrarily shaped domains

    L. De Floriani;B. Falcidieno;C. Pienovi

  • A multi-resolution topological representation for non-manifold meshes

    Leila De Floriani;Paola Magillo;Enrico Puppo;Davide Sobrero

  • Multiresolution modeling and visualization of volume data based on simplicial complexes

    Paolo Cignoni;Leila De Floriani;Claudio Montani;Enrico Puppo

  • Efficient implementation of multi-triangulations

    L. De Floriani;P. Magillo;E. Puppo

  • Line-of-sight communication on terrain models

    Leila De Floriani;Paola Marzano;Enrico Puppo

  • Multiresolution models for topographic surface description

    Leila De Floriani;Paola Marzano;Enrico Puppo

  • A survey of topology-based methods in visualization

    C. Heine;H. Leitte;M. Hlawitschka;F. Iuricich

  • Building and traversing a surface at variable resolution

    L. De Fioriani;P. Magillo;E. Puppo

  • Algorithms for Visibility Computation on Terrains: A Survey

    Leila Floriani;Paola Magillo

  • Feature Extraction from Boundary Models of Three-Dimensional Objects

    Unknown

  • A hierarchical structure for surface approximation

    Leila De Floriani;Bianca Falcidieno;George Nagy;Caterina Pienovi

  • Visibility algorithms on triangulated digital terrain models

    Leila De Floriani;Paola Magillo

  • A Formal Approach to Multiresolution Hypersurface Modeling

    Leila De Floriani;Enrico Puppo;Paola Magillo

  • A pyramidal data structure for triangle-based surface description

    Unknown

  • Chapter 7 – Applications of Computational Geometry to Geographic Information Systems

    Leila de Floriani;Paola Magillo;Enrico Puppo

  • A hierarchical boundary model for solid object representation

    Leila De Floriani;Bianca Falcidieno

  • A Survey on Data Structures for Level-of-Detail Models

    Leila De Floriani;Leif Kobbelt;Enrico Puppo

  • Shape analysis and structuring

    Leila De Floriani;Michela Spagnuolo

  • Scientific Visualization: The Visual Extraction of Knowledge from Data

    Georges-Pierre Bonneau;Thomas Ertl;Gregory M. Nielson

Frequent Co-Authors

Enrico Puppo
Enrico Puppo University of Genoa
Bianca Falcidieno
Bianca Falcidieno National Academies of Sciences, Engineering, and Medicine
Paolo Cignoni
Paolo Cignoni National Research Council (CNR)
George Nagy
George Nagy Rensselaer Polytechnic Institute
Hanan Samet
Hanan Samet University of Maryland, College Park
Roberto Scopigno
Roberto Scopigno Institute of Information Science and Technologies
Daniele Panozzo
Daniele Panozzo New York University
Dieter Schmalstieg
Dieter Schmalstieg University of Stuttgart
James A. Hendler
James A. Hendler Rensselaer Polytechnic Institute
Paolo Rosso
Paolo Rosso Universitat Politècnica de València

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a variety of flexible online learning options. For those looking to advance their careers quickly, there are shortest master degree programs that can be completed on an accelerated timeline. These programs are ideal for professionals eager to gain new skills and credentials without spending several years in school.

For students focused on long-term career rewards, choosing the best masters degree to get ensures you are investing in a field with strong job demand and high earning potential. Computer science consistently ranks as one of the most valuable degrees, leading to diverse roles in technology and data science.

Those seeking a faster start can benefit from 2 year online degrees that provide foundational skills and entry-level job readiness. Many of these programs offer seamless transfer options for further study.

Finally, affordability is a key concern for many learners. Researching the cheapest online colleges can help reduce tuition costs while still offering a quality education in computer science and related fields.

Best Scientists Citing Leila De Floriani

Trending Scientists

Recently Published Articles