Andrea Tagarelli

2.4k total citations
109 papers, 1.1k citations indexed

About

Andrea Tagarelli is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Andrea Tagarelli has authored 109 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 40 papers in Statistical and Nonlinear Physics and 28 papers in Signal Processing. Recurrent topics in Andrea Tagarelli's work include Complex Network Analysis Techniques (38 papers), Opinion Dynamics and Social Influence (20 papers) and Data Management and Algorithms (19 papers). Andrea Tagarelli is often cited by papers focused on Complex Network Analysis Techniques (38 papers), Opinion Dynamics and Social Influence (20 papers) and Data Management and Algorithms (19 papers). Andrea Tagarelli collaborates with scholars based in Italy, United States and France. Andrea Tagarelli's co-authors include Francesco Gullo, Roberto Interdonato, Sergio Greco, Giovanni Ponti, George Karypis, Carlotta Domeniconi, Sergio Flesca, Alessia Amelio, Elio Masciari and Giuseppe Manco and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Andrea Tagarelli

100 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Tagarelli Italy 21 511 334 332 220 168 109 1.1k
Pranam Kolari United States 17 527 1.0× 679 2.0× 298 0.9× 136 0.6× 185 1.1× 32 1.0k
Harry Halpin United Kingdom 13 586 1.1× 485 1.5× 127 0.4× 99 0.5× 154 0.9× 75 1.0k
Fabien Gandon France 15 642 1.3× 426 1.3× 146 0.4× 85 0.4× 204 1.2× 79 1.1k
Zongyang Ma Singapore 12 605 1.2× 701 2.1× 300 0.9× 245 1.1× 153 0.9× 21 1.5k
Kostas Tsioutsiouliklis United States 14 759 1.5× 540 1.6× 290 0.9× 197 0.9× 183 1.1× 25 1.4k
Conor Hayes Ireland 16 379 0.7× 422 1.3× 151 0.5× 76 0.3× 151 0.9× 77 808
Şule Gündüz Öğüdücü Türkiye 17 309 0.6× 222 0.7× 260 0.8× 95 0.4× 95 0.6× 58 804
Wanli Zuo China 18 1.0k 2.0× 482 1.4× 150 0.5× 116 0.5× 124 0.7× 127 1.5k
Parag Singla India 16 893 1.7× 269 0.8× 176 0.5× 156 0.7× 183 1.1× 53 1.2k
Maseud Rahgozar Iran 16 476 0.9× 279 0.8× 332 1.0× 67 0.3× 132 0.8× 75 921

Countries citing papers authored by Andrea Tagarelli

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Tagarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Tagarelli

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

All Works

20 of 20 papers shown
1.
Zignani, Matteo, et al.. (2025). Characterizing NFT Markets through a Multilayer Network Approach. Blockchain Research and Applications. 100356–100356.
2.
Tagarelli, Andrea, et al.. (2025). Unveiling user dynamics in the evolving social debate on climate crisis during the conferences of the parties. Pervasive and Mobile Computing. 112. 102077–102077.
3.
Tagarelli, Andrea, et al.. (2025). Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens. ACM Transactions on the Web. 19(2). 1–18. 1 indexed citations
4.
Tagarelli, Andrea, et al.. (2025). A survey on moral foundation theory and pre-trained language models: current advances and challenges. AI & Society. 40(6). 4973–4998. 2 indexed citations
5.
Gullo, Francesco, et al.. (2024). Neural discovery of balance-aware polarized communities. Machine Learning. 113(9). 6611–6644.
6.
Ricci, Laura, Barbara Guidi, Andrea Michienzi, Andrea Tagarelli, & Sabrina Gaito. (2024). AWESOME: Analysis framework for WEb3 SOcial MEdia. CINECA IRIS Institutial research information system (University of Pisa). 41–47. 1 indexed citations
7.
Tagarelli, Andrea, et al.. (2023). Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction. arXiv (Cornell University). 1875–1885. 20 indexed citations
8.
Gullo, Francesco, et al.. (2023). A combinatorial multi-armed bandit approach to correlation clustering. Data Mining and Knowledge Discovery. 37(4). 1630–1691.
9.
Tagarelli, Andrea, et al.. (2023). Bringing order into the realm of Transformer-based language models for artificial intelligence and law. Artificial Intelligence and Law. 32(4). 863–1010. 13 indexed citations
10.
Flesca, Sergio, et al.. (2022). Learning to Active Learn by Gradient Variation based on Instance Importance. 2022 26th International Conference on Pattern Recognition (ICPR). 2224–2230. 1 indexed citations
11.
Tagarelli, Andrea, et al.. (2020). Attribute based diversification of seeds for targeted influence maximization. Information Sciences. 546. 1273–1305. 29 indexed citations
12.
Gera, Ralucca, et al.. (2020). ANGEL: A Synthetic Model for Airline Network Generation Emphasizing Layers. IEEE Transactions on Network Science and Engineering. 7(3). 1977–1987. 7 indexed citations
13.
Tagarelli, Andrea, et al.. (2019). Complex influence propagation based on trust-aware dynamic linear threshold models. Applied Network Science. 4(1). 7 indexed citations
14.
Interdonato, Roberto, et al.. (2018). Learning to lurker rank: an evaluation of learning-to-rank methods for lurking behavior analysis. Social Network Analysis and Mining. 8(1). 2 indexed citations
15.
Interdonato, Roberto, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, & Pascal Poncelet. (2016). Local community detection in multilayer networks. Data Mining and Knowledge Discovery. 31(5). 1382–1383. 4 indexed citations
16.
Interdonato, Roberto, et al.. (2016). Community-based delurking in social networks. 263–270. 6 indexed citations
17.
Gullo, Francesco, Carlotta Domeniconi, & Andrea Tagarelli. (2009). Projective Clustering Ensembles. 794–799. 11 indexed citations
18.
Tagarelli, Andrea, Irina Trubitsyna, & Sergio Greco. (2004). Combining linear programming and clustering techniques for the classification of research centers. AI Communications. 17(3). 111–122. 3 indexed citations
19.
Flesca, Sergio, Sergio Greco, Andrea Tagarelli, & Ester Zumpano. (2004). Non-invasive support for personalized navigation of Websites. 183–192. 3 indexed citations
20.
Manco, Giuseppe, Elio Masciari, Massimo Ruffolo, & Andrea Tagarelli. (2002). Towards An Adaptive Mail Classifier. 11 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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