Massimo Stella

2.2k total citations · 1 hit paper
64 papers, 1.1k citations indexed

About

Massimo Stella is a scholar working on Artificial Intelligence, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Massimo Stella has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Sociology and Political Science and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Massimo Stella's work include Misinformation and Its Impacts (13 papers), Complex Network Analysis Techniques (13 papers) and Topic Modeling (9 papers). Massimo Stella is often cited by papers focused on Misinformation and Its Impacts (13 papers), Complex Network Analysis Techniques (13 papers) and Topic Modeling (9 papers). Massimo Stella collaborates with scholars based in Italy, United Kingdom and United States. Massimo Stella's co-authors include Manlio De Domenico, Emilio Ferrara, Markus Brede, Nicole Beckage, Nichol Castro, Yoed N. Kenett, Cynthia S. Q. Siew, Giulio Rossetti, Simon De Deyne and M. Cristoforetti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Massimo Stella

61 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bots increase exposure to negative and inflammatory content in online social systems

2018 264 citations Massimo Stella, Manlio De Domenico et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Massimo Stella Italy	19	396	347	263	243	168	64	1.1k
Isabel M. Kloumann United States	7	363 0.9×	313 0.9×	313 1.2×	58 0.2×	148 0.9×	10	1.1k
Liane Gabora Canada	22	318 0.8×	255 0.7×	142 0.5×	254 1.0×	316 1.9×	88	1.4k
Jennifer S. Trueblood United States	23	429 1.1×	173 0.5×	112 0.4×	509 2.1×	195 1.2×	72	1.8k
David Bamman United States	22	1.0k 2.5×	216 0.6×	45 0.2×	93 0.4×	124 0.7×	57	1.7k
Tao Gong United States	19	292 0.7×	149 0.4×	104 0.4×	241 1.0×	301 1.8×	103	1.2k
Yair Neuman Israel	22	521 1.3×	206 0.6×	47 0.2×	101 0.4×	443 2.6×	123	1.9k
James H. Fetzer United States	17	303 0.8×	229 0.7×	35 0.1×	162 0.7×	209 1.2×	72	1.1k
Kevin Zollman United States	20	110 0.3×	689 2.0×	260 1.0×	124 0.5×	79 0.5×	51	1.4k
Michael Wood United Kingdom	15	300 0.8×	853 2.5×	31 0.1×	329 1.4×	86 0.5×	26	1.6k
Andrew Perfors Australia	14	293 0.7×	206 0.6×	35 0.1×	169 0.7×	93 0.6×	39	861

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-authorship network of co-authors of Massimo Stella

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Stella. A scholar is included among the top collaborators of Massimo Stella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Stella. Massimo Stella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Branda, Francesco, Massimo Stella, C. Ceccarelli, et al.. (2025). The Role of AI-Based Chatbots in Public Health Emergencies: A Narrative Review. Future Internet. 17(4). 145–145. 3 indexed citations

Carollo, Alessandro, Massimo Stella, Mengyu Lim, Andrea Bizzego, & Gianluca Esposito. (2025). Emotional content and semantic structure of dialogues are associated with Interpersonal Neural Synchrony in the Prefrontal Cortex. NeuroImage. 309. 121087–121087. 2 indexed citations

Mohammad, Saif M., et al.. (2025). EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science. Behavior Research Methods. 57(2). 77–77. 4 indexed citations

Marinazzo, Daniele, et al.. (2024). An information-theoretic approach to build hypergraphs in psychometrics. Behavior Research Methods. 56(7). 8057–8079. 7 indexed citations

Stella, Massimo, et al.. (2024). Cognitive modelling of concepts in the mental lexicon with multilayer networks: Insights, advancements, and future challenges. Psychonomic Bulletin & Review. 31(5). 1981–2004. 11 indexed citations

Beaty, Roger E., et al.. (2024). The word–sentence–construction task versus the verbal fluency task: Capturing features of scientific creativity via semantic networks.. Psychology of Aesthetics Creativity and the Arts. 1 indexed citations

Montefinese, Maria, et al.. (2023). Multiplex lexical networks and artificial intelligence unravel cognitive patterns of picture naming in people with anomic aphasia. Cognitive Systems Research. 79. 43–54. 4 indexed citations

Deyne, Simon De, et al.. (2023). Towards hypergraph cognitive networks as feature-rich models of knowledge. EPJ Data Science. 12(1). 2 indexed citations

Stella, Massimo, et al.. (2023). Polarization and multiscale structural balance in signed networks. Communications Physics. 6(1). 11 indexed citations

10.

Lombardi, Luigi, et al.. (2023). Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students. Big Data and Cognitive Computing. 7(3). 124–124. 37 indexed citations

11.

Cremades, Roger & Massimo Stella. (2022). Disentangling the climate divide with emotional patterns: a network-based mindset reconstruction approach. Earth System Dynamics. 13(4). 1473–1489. 3 indexed citations

12.

Li, Ying, et al.. (2021). DASentimental: Detecting Depression, Anxiety, and Stress in Texts via Emotional Recall, Cognitive Networks, and Machine Learning. Big Data and Cognitive Computing. 5(4). 77–77. 19 indexed citations

13.

Stella, Massimo. (2020). Cognitive Network Science Reconstructs How Experts, News Outlets and Social Media Perceived the COVID-19 Pandemic. Systems. 8(4). 38–38. 5 indexed citations

14.

Stella, Massimo. (2020). Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media. PeerJ Computer Science. 6. e295–e295. 22 indexed citations

15.

Bosetti, Paolo, Piero Poletti, Massimo Stella, et al.. (2020). Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks. Proceedings of the National Academy of Sciences. 117(48). 30118–30125. 20 indexed citations

16.

Stella, Massimo, M. Cristoforetti, & Manlio De Domenico. (2019). Influence of augmented humans in online interactions during voting events. PLoS ONE. 14(5). e0214210–e0214210. 33 indexed citations

17.

Stella, Massimo & Yoed N. Kenett. (2019). Viability in Multiplex Lexical Networks and Machine Learning Characterizes Human Creativity. Big Data and Cognitive Computing. 3(3). 45–45. 28 indexed citations

18.

Stella, Massimo, et al.. (2018). Ecological multiplex interactions determine the role of species for parasite spread amplification. eLife. 7. 8 indexed citations

19.

Stella, Massimo. (2017). Parasite spreading in spatial ecological multiplex networks. Iris (University of Trento). 14 indexed citations

20.

Piccinni, E. & Massimo Stella. (1970). Some avian karyograms.. Caryologia. 23. 189–202. 10 indexed citations

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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