Daniele Catanzaro
- Genetics
- Molecular Biology
- Industrial and Manufacturing Engineering top 5%
- Plant Science
- Artificial Intelligence
- Co-authors
- Martine LabbéRaffaele PesentiMichel C. MilinkovitchLaurent GattoÉric GourdinLuı́s GouveiaPhilippe ChévalierJuan‐José Salazar‐González
- Topics
- Genomics and Phylogenetic Studies (13 papers)Genome Rearrangement Algorithms (12 papers)Chromosomal and Genetic Variations (8 papers)
- Cited by
- Industrial and Manufacturing EngineeringGeneticsComputer Graphics and Computer-Aided Design
- Partner nations
- BelgiumItalyLuxembourg
In The Last Decade
Daniele Catanzaro
32 papers receiving 342 citations
Peers
Comparison fields: 5 of 75
- Genetics 123
- Molecular Biology 117
- Industrial and Manufacturing Engineering 110
- Plant Science 44
- Artificial Intelligence 43
Countries citing papers authored by Daniele Catanzaro
This map shows the geographic impact of Daniele Catanzaro'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 Daniele Catanzaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Catanzaro more than expected).
Fields of papers citing papers by Daniele Catanzaro
This network shows the impact of papers produced by Daniele Catanzaro. 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 Daniele Catanzaro. The network helps show where Daniele Catanzaro may publish in the future.
Co-authorship network of co-authors of Daniele Catanzaro
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Catanzaro. A scholar is included among the top collaborators of Daniele Catanzaro 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 Daniele Catanzaro. Daniele Catanzaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 7 | |
| 8 | 29 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 12 | |
| 17 | An Exact Approach for solving the Balanced Minimum Evolution Problem. | 0 |
| 18 | 19 | |
| 19 | 3 | |
| 20 | 18 |
About Daniele Catanzaro
Daniele Catanzaro is a scholar working on Genetics, Discrete Mathematics and Combinatorics and Industrial and Manufacturing Engineering, having authored 34 papers that have together received 354 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Genome Rearrangement Algorithms (12 papers) and Chromosomal and Genetic Variations (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (110 citations), Genetics (123 citations) and Computer Graphics and Computer-Aided Design (12 citations). Daniele Catanzaro has collaborated with scholars based in Belgium, Italy and Luxembourg. Frequent co-authors include Martine Labbé, Raffaele Pesenti, Michel C. Milinkovitch, Laurent Gatto, Éric Gourdin, Luı́s Gouveia, Philippe Chévalier, Juan‐José Salazar‐González, Marco Di Summa and Roberto Aringhieri. Their work appears in journals such as Bioinformatics, PLoS ONE and European Journal of Operational Research.
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.