Matteo Magnani
-
- Complex Network Analysis Techniques 29
- Opinion Dynamics and Social Influence 24
- Signal Processing top 5%
- Data Management and Algorithms 13
- Organic Chemistry top 10%
-
- Advanced Database Systems and Queries 10
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 8
- Advanced Graph Neural Networks 5
-
- Social Media and Politics 6
-
- Microtubule and mitosis dynamics 5
- Co-authors
- Luca RossiMaurizio BottaDanilo MontesiFabrizio ManettiMark E. DickisonCécile BothorelBarbora MicenkováIra Assent
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Scientific Reports (2 papers)
In The Last Decade
Matteo Magnani
73 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 162
- Statistical and Nonlinear Physics 406
- Signal Processing 128
- Organic Chemistry 315
- Computer Networks and Communications 208
- Artificial Intelligence 247
Countries citing papers authored by Matteo Magnani
This map shows the geographic impact of Matteo Magnani'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 Matteo Magnani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Magnani more than expected).
Fields of papers citing papers by Matteo Magnani
This network shows the impact of papers produced by Matteo Magnani. 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 Matteo Magnani. The network helps show where Matteo Magnani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matteo Magnani, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2020 | 103 | |
| 4 | 2020 | 6 | |
| 5 | 2020 | 4 | |
| 6 | A Join Operator for Property Graphs | 2017 | 4 |
| 7 | 2015 | 15 | |
| 8 | Diffusion Processes on Multilayer Networks. | 2014 | 9 |
| 9 | On multidimensional network measures | 2013 | 4 |
| 10 | Anytime skyline query processing for interactive systems | 2012 | 4 |
| 11 | #rescatemineros: global media events in the microblogging age | 2011 | 2 |
| 12 | 2009 | 26 | |
| 13 | 2008 | 124 | |
| 14 | 2008 | 36 | |
| 15 | 2007 | 1 | |
| 16 | Uncertainty in data integration: current approaches and open problems. | 2007 | 18 |
| 17 | 2006 | 52 | |
| 18 | Schema integration based on uncertain semantic mappings | 2005 | 5 |
| 19 | 2004 | 1 | |
| 20 | A unified approach to structured, semistructured and unstructured data | 2004 | 3 |
About Matteo Magnani
Matteo Magnani is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Communication, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (29 papers), Opinion Dynamics and Social Influence (24 papers), Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (10 papers), Semantic Web and Ontologies (8 papers), Social Media and Politics (6 papers), Microtubule and mitosis dynamics (5 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (406 citations), Signal Processing (128 citations) and Organic Chemistry (315 citations). Matteo Magnani has collaborated with scholars based in Italy, Sweden and Denmark. Frequent co-authors include Luca Rossi, Maurizio Botta, Danilo Montesi, Fabrizio Manetti, Mark E. Dickison, Cécile Bothorel, Barbora Micenková, Ira Assent, Stefano Rossi and Ruben Foresti. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.