The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Leila De Floriani sits on this spectrum.
This scientist: 310 publications — 76th percentile
76% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Leila De Floriani sits on this spectrum.
This scientist: 36 D-Index — 23rd percentile
23% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
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:
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:
The main subfields of study connected to De Floriani's research focus on:
The primary research topics cover a blend of data analysis and applied environmental science including:
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.
David S. Ebert;Charles D. Hansen;Georges-Pierre Bonneau;L. A. B. Gravir
S. Biasotti;L. De Floriani;B. Falcidieno;P. Frosini
Leila De Floriani;Enrico Puppo
Silvia Ansaldi;Leila De Floriani;Bianca Falcidieno
L. De Floriani;E. Puppo
L. De Floriani;B. Falcidieno;C. Pienovi
Leila De Floriani;Paola Magillo;Enrico Puppo;Davide Sobrero
Paolo Cignoni;Leila De Floriani;Claudio Montani;Enrico Puppo
L. De Floriani;P. Magillo;E. Puppo
Leila De Floriani;Paola Marzano;Enrico Puppo
Leila De Floriani;Paola Marzano;Enrico Puppo
C. Heine;H. Leitte;M. Hlawitschka;F. Iuricich
L. De Fioriani;P. Magillo;E. Puppo
Leila Floriani;Paola Magillo
Unknown
Leila De Floriani;Bianca Falcidieno;George Nagy;Caterina Pienovi
Leila De Floriani;Paola Magillo
Leila De Floriani;Enrico Puppo;Paola Magillo
Unknown
Leila de Floriani;Paola Magillo;Enrico Puppo
Leila De Floriani;Bianca Falcidieno
Leila De Floriani;Leif Kobbelt;Enrico Puppo
Leila De Floriani;Michela Spagnuolo
Georges-Pierre Bonneau;Thomas Ertl;Gregory M. Nielson
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