Gian Maria Campedelli
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 5
- Health top 10%
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- Crime Patterns and Interventions 23
- Crime, Illicit Activities, and Governance 16
- Terrorism, Counterterrorism, and Political Violence 4
- Criminal Justice and Corrections Analysis 3
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- Complex Network Analysis Techniques 4
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- Cybercrime and Law Enforcement Studies 4
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- Gambling Behavior and Treatments 3
- Co-authors
- Serena FavarinAlberto AzianiAlex R. PiqueroFrancesco CalderoniKathleen M. CarleyMaria R. D’OrsognaEnzo YaksicGiulia Andrighetto
- Partner nations
- ItalyUnited StatesBulgaria
In The Last Decade
Gian Maria Campedelli
30 papers receiving 471 citations
Peers
Comparison fields: 5 of 80
- Modeling and Simulation 68
- Health 75
- Sociology and Political Science 383
- Nature and Landscape Conservation 40
- Transportation 18
Countries citing papers authored by Gian Maria Campedelli
This map shows the geographic impact of Gian Maria Campedelli'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 Gian Maria Campedelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian Maria Campedelli more than expected).
Fields of papers citing papers by Gian Maria Campedelli
This network shows the impact of papers produced by Gian Maria Campedelli. 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 Gian Maria Campedelli. The network helps show where Gian Maria Campedelli may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Gian Maria Campedelli, 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 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 111 | |
| 14 | 2020 | 148 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 19 | |
| 18 | 2019 | 3 | |
| 19 | 2019 | 17 | |
| 20 | 2019 | 3 |
About Gian Maria Campedelli
Gian Maria Campedelli is a scholar working on Modeling and Simulation, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 30 papers that have together received 483 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (23 papers), Crime, Illicit Activities, and Governance (16 papers), COVID-19 epidemiological studies (5 papers), Terrorism, Counterterrorism, and Political Violence (4 papers), Complex Network Analysis Techniques (4 papers), Cybercrime and Law Enforcement Studies (4 papers), Gambling Behavior and Treatments (3 papers) and Criminal Justice and Corrections Analysis (3 papers). The work is most often cited by research in Modeling and Simulation (68 citations), Health (75 citations) and Sociology and Political Science (383 citations). Gian Maria Campedelli has collaborated with scholars based in Italy, United States and Bulgaria. Frequent co-authors include Serena Favarin, Alberto Aziani, Alex R. Piquero, Francesco Calderoni, Kathleen M. Carley, Maria R. D’Orsogna, Enzo Yaksic, Giulia Andrighetto, Áron Székely and Rafael Prieto-Curiel. Their work appears in journals such as Science, PLoS ONE and Journal of Public Economics.
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.