Salvatore Catanese
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- Complex Network Analysis Techniques 6
- Sociology and Political Science top 10%
- Crime Patterns and Interventions 6
- Crime, Illicit Activities, and Governance 5
- Evolutionary Game Theory and Cooperation 1
- Information Systems top 10%
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- Data Visualization and Analytics 2
- Advanced Vision and Imaging 1
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- Topological and Geometric Data Analysis 1
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- Computer Graphics and Visualization Techniques 1
- Co-authors
- Giacomo FiumaraPasquale De MeoEmilio FerraraWei SongLucia CavallaroAntonio LiottaOvidiu BagdasarFrancesco Calderoni
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Expert Systems with Applications (2 papers)
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Salvatore Catanese
9 papers receiving 255 citations
Peers
Comparison fields: 5 of 63
- Statistical and Nonlinear Physics 109
- Sociology and Political Science 137
- Information Systems 61
- Transportation 15
- Computational Mathematics 1
Countries citing papers authored by Salvatore Catanese
This map shows the geographic impact of Salvatore Catanese'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 Salvatore Catanese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatore Catanese more than expected).
Fields of papers citing papers by Salvatore Catanese
This network shows the impact of papers produced by Salvatore Catanese. 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 Salvatore Catanese. The network helps show where Salvatore Catanese may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Salvatore Catanese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 6 | |
| 2 | 2020 | 32 | |
| 3 | 2020 | 53 | |
| 4 | 2016 | 3 | |
| 5 | 2016 | 52 | |
| 6 | 2014 | 101 | |
| 7 | Visualizing criminal networks reconstructed from mobile phone records. | 2014 | 1 |
| 8 | 2011 | 2 | |
| 9 | 2010 | 14 |
About Salvatore Catanese
Salvatore Catanese is a scholar working on Statistical and Nonlinear Physics, Computer Graphics and Computer-Aided Design and Sociology and Political Science, having authored 9 papers that have together received 264 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Crime Patterns and Interventions (6 papers), Crime, Illicit Activities, and Governance (5 papers), Data Visualization and Analytics (2 papers), Evolutionary Game Theory and Cooperation (1 paper), Topological and Geometric Data Analysis (1 paper), Computer Graphics and Visualization Techniques (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (109 citations), Sociology and Political Science (137 citations) and Information Systems (61 citations). Salvatore Catanese has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Giacomo Fiumara, Pasquale De Meo, Emilio Ferrara, Wei Song, Lucia Cavallaro, Antonio Liotta, Ovidiu Bagdasar, Francesco Calderoni and Xiaoyang Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.