Serena Tardelli

543 total citations
10 papers, 301 citations indexed

About

Serena Tardelli is a scholar working on Sociology and Political Science, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Serena Tardelli has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 5 papers in Information Systems and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Serena Tardelli's work include Misinformation and Its Impacts (10 papers), Spam and Phishing Detection (5 papers) and Opinion Dynamics and Social Influence (4 papers). Serena Tardelli is often cited by papers focused on Misinformation and Its Impacts (10 papers), Spam and Phishing Detection (5 papers) and Opinion Dynamics and Social Influence (4 papers). Serena Tardelli collaborates with scholars based in Italy, United Arab Emirates and United States. Serena Tardelli's co-authors include Maurizio Tesconi, Stefano Cresci, Marco Avvenuti, Fabrizio Lillo, Daniele Regoli, Emilio Ferrara, Mauro Conti, Giovanni Da San Martino, Preslav Nakov and Annalaura Carducci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Access and Computer Communications.

In The Last Decade

Serena Tardelli

10 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Serena Tardelli Italy	7	191	171	86	61	57	10	301
Parang Saraf United States	6	145 0.8×	88 0.5×	73 0.8×	152 2.5×	22 0.4×	11	301
Tianjun Fu United States	9	77 0.4×	151 0.9×	155 1.8×	53 0.9×	45 0.8×	11	320
Yefeng Ruan United States	9	99 0.5×	123 0.7×	159 1.8×	35 0.6×	20 0.4×	19	315
Victor Benjamin United States	11	130 0.7×	304 1.8×	98 1.1×	24 0.4×	95 1.7×	19	402
Eaman Jahani United States	8	75 0.4×	117 0.7×	43 0.5×	31 0.5×	18 0.3×	11	291
Pedro Guerra Brazil	7	64 0.3×	37 0.2×	103 1.2×	79 1.3×	8 0.1×	13	233
Romilla Syed United States	8	81 0.4×	166 1.0×	35 0.4×	21 0.3×	23 0.4×	14	262
Mark Meiss United States	8	74 0.4×	105 0.6×	64 0.7×	102 1.7×	25 0.4×	10	275
Ting Hua United States	8	61 0.3×	66 0.4×	122 1.4×	91 1.5×	19 0.3×	12	233
Fabiano Belém Brazil	13	50 0.3×	241 1.4×	201 2.3×	22 0.4×	14 0.2×	28	383

Countries citing papers authored by Serena Tardelli

Since Specialization

Citations

This map shows the geographic impact of Serena Tardelli'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 Serena Tardelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Tardelli more than expected).

Fields of papers citing papers by Serena Tardelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serena Tardelli. 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 Serena Tardelli. The network helps show where Serena Tardelli may publish in the future.

Co-authorship network of co-authors of Serena Tardelli

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Tardelli. A scholar is included among the top collaborators of Serena Tardelli 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 Serena Tardelli. Serena Tardelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Tardelli, Serena, et al.. (2024). Multifaceted online coordinated behavior in the 2020 US presidential election. EPJ Data Science. 13(1). 6 indexed citations

Tardelli, Serena, et al.. (2024). The anatomy of conspiracy theorists: Unveiling traits using a comprehensive Twitter dataset. Computer Communications. 217. 25–40. 2 indexed citations

Tardelli, Serena, Maurizio Tesconi, Mauro Conti, et al.. (2024). Temporal dynamics of coordinated online behavior: Stability, archetypes, and influence. Proceedings of the National Academy of Sciences. 121(20). e2307038121–e2307038121. 11 indexed citations

Tardelli, Serena, Marco Avvenuti, Maurizio Tesconi, & Stefano Cresci. (2021). Detecting inorganic financial campaigns on Twitter. Information Systems. 103. 101769–101769. 21 indexed citations

Tardelli, Serena, et al.. (2021). Coordinated Behavior on Social Media in 2019 UK General Election. Proceedings of the International AAAI Conference on Web and Social Media. 15. 443–454. 56 indexed citations

Tardelli, Serena, et al.. (2020). Coordinated Behavior on Social Media in 2019 UK General Election. arXiv (Cornell University). 15. 443–454. 7 indexed citations

Tardelli, Serena, et al.. (2020). Charting the Landscape of Online Cryptocurrency Manipulation. IEEE Access. 8. 113230–113245. 81 indexed citations

Tardelli, Serena, Marco Avvenuti, Stefano Cresci, et al.. (2020). Twitter monitoring evidence of Covid-19 infodemic in Italy. European Journal of Public Health. 30(Supplement_5). 2 indexed citations

Cresci, Stefano, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, & Maurizio Tesconi. (2019). Cashtag Piggybacking. ACM Transactions on the Web. 13(2). 1–27. 69 indexed citations

10.

Cresci, Stefano, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, & Maurizio Tesconi. (2018). $FAKE: Evidence of Spam and Bot Activity in Stock Microblogs on Twitter. Proceedings of the International AAAI Conference on Web and Social Media. 12(1). 46 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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