Massimo Stella

65 papers receiving 1.3k citations

Massimo Stella's Hit Papers

Bots increase exposure to negative and inflammatory content in online social systems 2018 · 320 citations
3200+2+5Years since publication100200300

Peers

Massimo Stella
Comparison fields: 5 of 118
  • Statistical and Nonlinear Physics 299
  • Communication 137
  • Experimental and Cognitive Psychology 202
  • Cognitive Neuroscience 264
  • Artificial Intelligence 468
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Citations per year

Countries citing papers authored by Massimo Stella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Massimo Stella Line = papers co-authored together Massimo Stella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bots increase exposure to negative and inflammatory content in online social systems
Hit paper breakdown →
2018320
2 201797
3 201869
4 202350
5 202039
6 201935
7 201935
8 202032
9 201931
10 202130
11 201928
12 202126
13 202026
14 202026
15 201825
16 202025
17 201524
18 201924
19 201823
20 202122

About Massimo Stella

Massimo Stella is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology, Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Misinformation and Its Impacts (14 papers), Topic Modeling (10 papers), Mental Health Research Topics (10 papers), Mental Health via Writing (8 papers), Reading and Literacy Development (7 papers), Neurobiology of Language and Bilingualism (7 papers) and Functional Brain Connectivity Studies (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (299 citations), Communication (137 citations), Experimental and Cognitive Psychology (202 citations), Cognitive Neuroscience (264 citations) and Artificial Intelligence (468 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 Nissan Kenett, Giulio Rossetti, Cynthia S. Q. Siew, Simon De Deyne and Thomas T. Hills. Their work appears in journals such as Big Data and Cognitive Computing, Scientific Reports, Physica A Statistical Mechanics and its Applications, Proceedings of the National Academy of Sciences and Journal of Complex Networks.

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.

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