Francesco Cauteruccio

840 total citations
40 papers, 559 citations indexed

About

Francesco Cauteruccio is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Francesco Cauteruccio has authored 40 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Information Systems and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Francesco Cauteruccio's work include Complex Network Analysis Techniques (11 papers), Web Data Mining and Analysis (6 papers) and Opinion Dynamics and Social Influence (6 papers). Francesco Cauteruccio is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Web Data Mining and Analysis (6 papers) and Opinion Dynamics and Social Influence (6 papers). Francesco Cauteruccio collaborates with scholars based in Italy, France and Indonesia. Francesco Cauteruccio's co-authors include Giorgio Terracina, Domenico Ursino, Luca Virgili, Enrico Corradini, Giancarlo Fortino, Antonio Liotta, Gianluca Bonifazi, Claudio Savaglio, Antonio Guerrieri and Valerio Basile and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Francesco Cauteruccio

37 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Cauteruccio Italy 16 257 160 108 71 65 40 559
Shikha Mehta India 13 233 0.9× 148 0.9× 148 1.4× 50 0.7× 34 0.5× 54 538
Xinjiang Lu China 13 211 0.8× 132 0.8× 148 1.4× 65 0.9× 55 0.8× 46 619
Xinjun Mao China 12 219 0.9× 168 1.1× 181 1.7× 49 0.7× 47 0.7× 118 510
Doo-Soon Park South Korea 15 186 0.7× 238 1.5× 195 1.8× 98 1.4× 23 0.4× 70 656
Hoda Eldardiry United States 11 197 0.8× 120 0.8× 110 1.0× 44 0.6× 19 0.3× 51 470
Minghao Zhao China 16 319 1.2× 98 0.6× 199 1.8× 127 1.8× 39 0.6× 37 618
Geraldo Zimbrão Brazil 12 181 0.7× 86 0.5× 181 1.7× 58 0.8× 26 0.4× 45 480
Y. Ding China 6 218 0.8× 77 0.5× 133 1.2× 63 0.9× 70 1.1× 13 427
Yilun Jin China 12 512 2.0× 59 0.4× 86 0.8× 81 1.1× 33 0.5× 28 701
Mansaf Alam India 12 167 0.6× 158 1.0× 214 2.0× 46 0.6× 43 0.7× 69 622

Countries citing papers authored by Francesco Cauteruccio

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Cauteruccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Cauteruccio

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Cauteruccio. A scholar is included among the top collaborators of Francesco Cauteruccio 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 Francesco Cauteruccio. Francesco Cauteruccio 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.
Cauteruccio, Francesco, et al.. (2025). A Framework for Investigating Discording Communities on Social Platforms. Electronics. 14(3). 609–609.
2.
Chen, Weisi, et al.. (2024). MedNER: A Service-Oriented Framework for Chinese Medical Named-Entity Recognition with Real-World Application. Big Data and Cognitive Computing. 8(8). 86–86. 2 indexed citations
3.
Bonifazi, Gianluca, et al.. (2024). A multilayer network-based framework for handling and comparing user histories in X. Journal of Information Science. 1 indexed citations
4.
Bonifazi, Gianluca, et al.. (2023). Performing Wash Trading on NFTs: Is the Game Worth the Candle?. Big Data and Cognitive Computing. 7(1). 38–38. 15 indexed citations
5.
Chen, Weisi, Walayat Hussain, Francesco Cauteruccio, & Xu Zhang. (2023). Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models. Computer Modeling in Engineering & Sciences. 139(1). 187–224. 15 indexed citations
6.
7.
Bonifazi, Gianluca, et al.. (2023). Applying Social Network Analysis to Model and Handle a Cross-Blockchain Ecosystem. Electronics. 12(5). 1086–1086. 4 indexed citations
8.
Bonifazi, Gianluca, et al.. (2023). A network analysis-based framework to understand the representation dynamics of graph neural networks. Neural Computing and Applications. 36(4). 1875–1897. 1 indexed citations
9.
Bonifazi, Gianluca, Francesco Cauteruccio, Enrico Corradini, et al.. (2023). A model-agnostic, network theory-based framework for supporting XAI on classifiers. Expert Systems with Applications. 241. 122588–122588. 16 indexed citations
10.
Bonifazi, Gianluca, et al.. (2022). A Space-Time Framework for Sentiment Scope Analysis in Social Media. Big Data and Cognitive Computing. 6(4). 130–130. 20 indexed citations
11.
Amelio, Alessia, Gianluca Bonifazi, Francesco Cauteruccio, et al.. (2022). Representation and compression of Residual Neural Networks through a multilayer network based approach. Expert Systems with Applications. 215. 119391–119391. 27 indexed citations
12.
Bonifazi, Gianluca, Francesco Cauteruccio, Enrico Corradini, et al.. (2022). Representation, detection and usage of the content semantics of comments in a social platform. Journal of Information Science. 50(2). 317–341. 6 indexed citations
13.
Cauteruccio, Francesco. (2021). Alignment of Microarray Data. Methods in molecular biology. 217–237. 2 indexed citations
14.
Basile, Valerio, Francesco Cauteruccio, & Giorgio Terracina. (2021). How Dramatic Events Can Affect Emotionality in Social Posting: The Impact of COVID-19 on Reddit. Future Internet. 13(2). 29–29. 35 indexed citations
15.
Cauteruccio, Francesco, Giancarlo Fortino, Claudio Savaglio, et al.. (2020). An approach to compute the scope of a social object in a Multi-IoT scenario. Pervasive and Mobile Computing. 67. 101223–101223. 28 indexed citations
16.
Cauteruccio, Francesco, Enrico Corradini, Giorgio Terracina, Domenico Ursino, & Luca Virgili. (2020). Co-posting Author Assortativity in Reddit.. Università Politecnica delle Marche (Università Politecnica delle Marche). 222–233. 1 indexed citations
17.
Cauteruccio, Francesco, et al.. (2020). A Lightweight Approach to Extract Interschema Properties from Structured, Semi-Structured and Unstructured Sources in a Big Data Scenario. International Journal of Information Technology & Decision Making. 19(3). 849–889. 5 indexed citations
18.
Calimeri, Francesco, Francesco Cauteruccio, Aldo Marzullo, et al.. (2019). A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. Università Politecnica delle Marche (Università Politecnica delle Marche). 19 indexed citations
19.
Cauteruccio, Francesco, et al.. (2019). Investigating the Scope of a Thing in a Multiple Internet of Things Scenario.. Università Politecnica delle Marche (Università Politecnica delle Marche). 1 indexed citations
20.
Cauteruccio, Francesco, Giancarlo Fortino, Antonio Guerrieri, et al.. (2018). Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance. Information Fusion. 52. 13–30. 76 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shikha Mehta Breakdown of academic impact, for papers by Xinjiang Lu Breakdown of academic impact, for papers by Xinjun Mao Breakdown of academic impact, for papers by Doo-Soon Park Breakdown of academic impact, for papers by Hoda Eldardiry Breakdown of academic impact, for papers by Minghao Zhao Breakdown of academic impact, for papers by Geraldo Zimbrão Breakdown of academic impact, for papers by Y. Ding Breakdown of academic impact, for papers by Yilun Jin Breakdown of academic impact, for papers by Mansaf Alam
Rankless by CCL
2026