Massimo Stella
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- Complex Network Analysis Techniques 13
- Opinion Dynamics and Social Influence 6
- Communication top 5%
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- Mental Health Research Topics 8
- Cognitive Neuroscience top 10%
- Neurobiology of Language and Bilingualism 7
- Artificial Intelligence top 5%
- Topic Modeling 9
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- Misinformation and Its Impacts 13
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- Mental Health via Writing 7
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- Reading and Literacy Development 7
- Co-authors
- Manlio De DomenicoEmilio FerraraMarkus BredeNicole BeckageNichol CastroYoed N. KenettGiulio RossettiCynthia S. Q. Siew
- Journals
- Big Data and Cognitive Computing (7 papers)Scientific Reports (5 papers)Physica A Statistical Mechanics and its Applications (5 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Massimo Stella
61 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Statistical and Nonlinear Physics 263
- Communication 119
- Experimental and Cognitive Psychology 168
- Cognitive Neuroscience 243
- Artificial Intelligence 396
Countries citing papers authored by Massimo Stella
This map shows the geographic impact of Massimo Stella'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 Massimo Stella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Stella more than expected).
Fields of papers citing papers by Massimo Stella
This network shows the impact of papers produced by Massimo Stella. 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 Massimo Stella. The network helps show where Massimo Stella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Stella, 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 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 37 | |
| 12 | 2022 | 3 | |
| 13 | 2020 | 22 | |
| 14 | 2019 | 28 | |
| 15 | 2019 | 33 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 11 | |
| 18 | 2017 | 14 | |
| 19 | 2017 | 92 | |
| 20 | Some avian karyograms. | 1970 | 10 |
About Massimo Stella
Massimo Stella is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology, Issues, ethics and legal aspects, Cognitive Neuroscience and Artificial Intelligence, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (13 papers), Complex Network Analysis Techniques (13 papers), Topic Modeling (9 papers), Mental Health Research Topics (8 papers), Mental Health via Writing (7 papers), Neurobiology of Language and Bilingualism (7 papers), Reading and Literacy Development (7 papers) and Opinion Dynamics and Social Influence (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (263 citations), Communication (119 citations), Experimental and Cognitive Psychology (168 citations), Cognitive Neuroscience (243 citations) and Artificial Intelligence (396 citations). Massimo Stella has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Manlio De Domenico, Emilio Ferrara, Markus Brede, Nicole Beckage, Nichol Castro, Yoed N. Kenett, Giulio Rossetti, Cynthia S. Q. Siew, Simon De Deyne and M. Cristoforetti. Their work appears in journals such as Big Data and Cognitive Computing, Scientific Reports, Physica A Statistical Mechanics and its Applications, Future Internet and Communications Physics.
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.