World's Best Scientists 2026 revealed!
Giuseppe Liotta

Giuseppe Liotta

D-Index & Metrics

Computer Science

D-Index
39
Citations
6107
World Ranking
9796
National Ranking
293

Mathematics

D-Index
38
Citations
5821
World Ranking
2355
National Ranking
71

Overview

Giuseppe Liotta is affiliated with the University of Perugia in Italy and has a publication record primarily in the field of Computer Science, with 185 works attributed to this domain. Their research spans a range of subfields, including Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Networks and Communications, and Artificial Intelligence.

Their main research topics encompass Computational Geometry and Mesh Generation, Advanced Graph Theory Research, Data Visualization and Analytics, Digital Image Processing Techniques, Complexity and Algorithms in Graphs, 3D Modeling in Geospatial Applications, and Complex Network Analysis Techniques.

Frequent coauthors of Giuseppe Liotta include Fabrizio Montecchiani, Walter Didimo, Emilio Di Giacomo, Alessandra Tappini, and Michael Kaufmann. These collaborations highlight a network of researchers focused on related topics within computer science.

Among the recent papers authored or coauthored by Giuseppe Liotta are:

  • Combining Network Visualization and Data Mining for Tax Risk Assessment, 2020, IEEE Access
  • Orthogonal planarity testing of bounded treewidth graphs, 2021, Journal of Computer and System Sciences
  • Graph Planarity by Replacing Cliques with Paths, 2020, Algorithms
  • Comparative Study and Evaluation of Hybrid Visualizations of Graphs, 2023, IEEE Transactions on Visualization and Computer Graphics
  • Influence Maximization With Visual Analytics, 2022, IEEE Transactions on Visualization and Computer Graphics

Giuseppe Liotta has contributed to notable publication venues, with multiple works appearing in arXiv (Cornell University), Theoretical Computer Science, Algorithmica, Lecture Notes in Computer Science, and the Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Their book publication record includes a contribution to Springer Science+Business Media with a book titled "WALCOM: Algorithms and Computation," published in 2023.

Best Publications

  • An experimental comparison of four graph drawing algorithms

    Giuseppe Di Battista;Ashim Garg;Giuseppe Liotta;Roberto Tamassia

  • Upward drawings of triconnected digraphs

    P. Bertolazzi;G. Di Battista;G. Liotta;C. Mannino

  • Drawing Graphs with Right Angle Crossings

    Walter Didimo;Peter Eades;Giuseppe Liotta

  • An annotated bibliography on 1-planarity

    Stephen G. Kobourov;Giuseppe Liotta;Fabrizio Montecchiani

  • Straight-Line Drawings on Restricted Integer Grids in Two and Three Dimensions

    Stefan Felsner;Giuseppe Liotta;Stephen K. Wismath

  • A Survey on Graph Drawing Beyond Planarity

    Walter Didimo;Giuseppe Liotta;Fabrizio Montecchiani

  • Graph Visualization Techniques for Web Clustering Engines

    E. Di Giacomo;W. Didimo;L. Grilli;G. Liotta

  • Robust Proximity Queries: An Illustration of Degree-Driven Algorithm Design

    Giuseppe Liotta;Franco P. Preparata;Roberto Tamassia

  • Right angle crossing graphs and 1-planarity

    Peter Eades;Giuseppe Liotta

  • Fáry’s Theorem for 1-Planar Graphs

    Seok-Hee Hong;Peter Eades;Giuseppe Liotta;Sheung-Hung Poon

  • Visual analysis of large graphs using (X,Y)-clustering and hybrid visualizations

    V. Batagelj;F. J. Brandenburg;W. Didimo;G. Liotta

  • Spirality and Optimal Orthogonal Drawings

    Giuseppe Di Battista;Giuseppe Liotta;Francesco Vargiu

  • On the Parameterized Complexity of Layered Graph Drawing

    Vida Dujmović;Michael R. Fellows;Matthew Kitching;Giuseppe Liotta

  • On the Parameterized Complexity of Layered Graph Drawing

    Vida Dujmovic;Michael R. Fellows;Michael T. Hallett;M. Kitching

  • Proximity Drawability: a Survey

    Giuseppe Di Battista;William Lenhart;Giuseppe Liotta

  • Characterizing Proximity Trees

    Prosenjit Bose;William Lenhart;Giuseppe Liotta

  • Selected open problems in graph drawing

    Franz-Josef Brandenburg;David Eppstein;Michael T. Goodrich;Stephen G. Kobourov

  • Upward Spirality and Upward Planarity Testing

    Walter Didimo;Francesco Giordano;Giuseppe Liotta

  • Curve-constrained drawings of planar graphs

    Emilio Di Giacomo;Walter Didimo;Giuseppe Liotta;Stephen K. Wismath

  • A Linear-Time Algorithm for Testing Outer-1-Planarity

    Seok-Hee Hong;Peter Eades;Naoki Katoh;Giuseppe Liotta

Frequent Co-Authors

Walter Didimo
Walter Didimo University of Perugia
Giuseppe Di Battista
Giuseppe Di Battista Roma Tre University
Roberto Tamassia
Roberto Tamassia Brown University
Sue Whitesides
Sue Whitesides University of Victoria
Peter Eades
Peter Eades University of Sydney
Stephen G. Kobourov
Stephen G. Kobourov University of Arizona
Michael Kaufmann
Michael Kaufmann University of Tübingen
Olivier Devillers
Olivier Devillers University of Lorraine
Ioannis G. Tollis
Ioannis G. Tollis University of Crete
Jean Bousquet
Jean Bousquet University of Montpellier

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

For students pursuing Mathematics in the USA, exploring related online degrees can open diverse career pathways. Many professionals combine mathematical skills with business acumen by enrolling in a 1 year MBA programs. These accelerated options allow graduates to quickly gain managerial expertise, complementing their quantitative background.

Transfer credits are often a key consideration for working students. Choosing an online MBA accepting transfer credits can provide flexibility and save time, making it easier to advance in fields that blend mathematics and business, like finance or operations research.

For those interested in data-driven roles, a masters data analytics degree is highly relevant. It builds on mathematical foundations to develop analytic tools essential in industries such as technology, healthcare, and marketing.

Finally, students new to advanced business studies might consider the easiest MBA program to get into as a strategic starting point. This can lead to valuable credentials while balancing rigorous mathematical studies with manageable admission requirements.

Best Scientists Citing Giuseppe Liotta

Trending Scientists

Recently Published Articles