Giordano Da Lozzo

25 papers receiving 66 citations

Peers

Giordano Da Lozzo
Comparison fields: 5 of 18
  • Computer Graphics and Computer-Aided Design 50
  • Computational Theory and Mathematics 45
  • Computer Vision and Pattern Recognition 27
  • Statistical and Nonlinear Physics 10
  • Computer Networks and Communications 9
Replace Qing-Wen Feng with:
Qing-Wen Feng Australia
Achilleas Papakostas United States
Radoslav Fulek Switzerland
Andrew Suk United States
Maarten Löffler Netherlands
Tillmann Miltzow Germany
Steven Chaplick Germany
Joseph Miller Thomas United States
Arno Eigenwillig Germany
Wojciech Zielonka Poland
Giordano Da Lozzo relative to Qing-Wen Feng Australia Qing-Wen Feng's profile →
Citations per field
00.5×10×16×
Qing-Wen Feng · 1×
Citations per year

Countries citing papers authored by Giordano Da Lozzo

Since Specialization
Citations

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

Fields of papers citing papers by Giordano Da Lozzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giordano Da Lozzo. 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 Giordano Da Lozzo. The network helps show where Giordano Da Lozzo may publish in the future.

Co-authorship network of co-authors of Giordano Da Lozzo

This figure shows the co-authorship network connecting the top 25 collaborators of Giordano Da Lozzo. A scholar is included among the top collaborators of Giordano Da Lozzo 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 Giordano Da Lozzo. Giordano Da Lozzo 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 0
2 0
3 1
4 0
5 1
6 1
7 2
8 0
9 2
10 0
11 1
12 0
13 4
14 1
15 1
16 2
17 8
18 2
19 3
20
On the Complexity of Some Problems Related to SEFE.
1

About Giordano Da Lozzo

Giordano Da Lozzo is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 69 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (25 papers), Advanced Graph Theory Research (18 papers) and Digital Image Processing Techniques (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (50 citations), Computational Theory and Mathematics (45 citations) and Computer Vision and Pattern Recognition (27 citations). Giordano Da Lozzo has collaborated with scholars based in Italy, Germany and Greece. Frequent co-authors include Fabrizio Frati, Giuseppe Di Battista, Patrizio Angelini, Maurizio Patrignani, Ignaz Rutter, Vincenzo Roselli, Fabrizio Montecchiani, Michael T. Goodrich, Timothy M. Chan and Vida Dujmović. Their work appears in journals such as SIAM Journal on Computing, Theoretical Computer Science and The Computer Journal.

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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