Francesca Fallucchi

1.3k total citations
39 papers, 717 citations indexed

About

Francesca Fallucchi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesca Fallucchi has authored 39 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesca Fallucchi's work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Adversarial Robustness in Machine Learning (3 papers). Francesca Fallucchi is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Adversarial Robustness in Machine Learning (3 papers). Francesca Fallucchi collaborates with scholars based in Italy, Germany and Iraq. Francesca Fallucchi's co-authors include Ernesto William De Luca, Luca Di Nunzio, Romeo Giuliano, Alessandra Pieroni, Noemi Scarpato, Fabio Massimo Zanzotto, Suresh Manandhar, Ioannis Korkontzelos, Salah Saleh and Rocco Fazzolari and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Francesca Fallucchi

36 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Fallucchi Italy 12 268 163 145 104 97 39 717
Mehdi Darbandi Iran 13 270 1.0× 206 1.3× 80 0.6× 131 1.3× 285 2.9× 33 884
Kangping Wang China 13 512 1.9× 54 0.3× 144 1.0× 72 0.7× 107 1.1× 42 1.1k
Praphula Kumar Jain India 17 312 1.2× 131 0.8× 40 0.3× 48 0.5× 79 0.8× 28 606
Rajendra Pamula India 19 573 2.1× 260 1.6× 40 0.3× 127 1.2× 271 2.8× 69 1.1k
Ahmed Emam Saudi Arabia 14 614 2.3× 170 1.0× 56 0.4× 47 0.5× 503 5.2× 41 1.0k
Zulaiha Ali Othman Malaysia 17 732 2.7× 304 1.9× 78 0.5× 47 0.5× 444 4.6× 127 1.3k
Hwa‐Young Jeong South Korea 16 163 0.6× 236 1.4× 25 0.2× 85 0.8× 222 2.3× 87 732
Seungjae Shin South Korea 13 123 0.5× 73 0.4× 31 0.2× 82 0.8× 143 1.5× 52 566
Keli Xiao United States 16 452 1.7× 208 1.3× 37 0.3× 73 0.7× 75 0.8× 50 1.0k
Holger Billhardt Spain 13 309 1.2× 134 0.8× 29 0.2× 22 0.2× 86 0.9× 47 723

Countries citing papers authored by Francesca Fallucchi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Fallucchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Fallucchi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Fallucchi. A scholar is included among the top collaborators of Francesca Fallucchi 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 Francesca Fallucchi. Francesca Fallucchi 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.
Zanzotto, Fabio Massimo, et al.. (2024). Using Distributional Models for Studying the Influence of School Textbooks in Children Bias. IEEE Access. 12. 158207–158214.
2.
3.
Fallucchi, Francesca, et al.. (2023). Blockchain Technology for Monitoring Energy Production for Reliable and Secure Big Data. Electronics. 12(22). 4660–4660. 7 indexed citations
4.
Fallucchi, Francesca, et al.. (2023). The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Definitely Unseen Sentences. IRIS Research product catalog (Sapienza University of Rome). abs/1901.05287, 2019. 111–118. 1 indexed citations
5.
Fallucchi, Francesca, et al.. (2022). CryptoNet: Using Auto-Regressive Multi-Layer Artificial Neural Networks to Predict Financial Time Series. Information. 13(11). 524–524. 15 indexed citations
6.
Fallucchi, Francesca, et al.. (2022). The Use of Responsible Artificial Intelligence Techniques in the Context of Loan Approval Processes. International Journal of Human-Computer Interaction. 39(7). 1543–1562. 28 indexed citations
7.
Fallucchi, Francesca, et al.. (2022). Shedding Light on the Dark Web: Authorship Attribution in Radical Forums. Information. 13(9). 435–435. 6 indexed citations
8.
Fallucchi, Francesca, et al.. (2022). Digital Qualitative and Quantitative Analysis of Arabic Textbooks. Future Internet. 14(8). 237–237. 3 indexed citations
9.
Fallucchi, Francesca, et al.. (2021). Enriching videos with automatic place recognition in google maps. Multimedia Tools and Applications. 81(16). 23105–23121. 2 indexed citations
10.
Saleh, Salah, et al.. (2021). Employee Attrition Prediction Using Deep Neural Networks. Computers. 10(11). 141–141. 36 indexed citations
11.
Fallucchi, Francesca, et al.. (2021). Dis-Cover AI Minds to Preserve Human Knowledge. Future Internet. 14(1). 10–10. 14 indexed citations
12.
Giuliano, Romeo, et al.. (2021). Communication Network Architectures for Driver Assistance Systems. Sensors. 21(20). 6867–6867. 2 indexed citations
13.
Giuliano, Romeo, G.C. Cardarilli, Luca Di Nunzio, et al.. (2020). Indoor Localization System Based on Bluetooth Low Energy for Museum Applications. Electronics. 9(6). 1055–1055. 50 indexed citations
14.
Fallucchi, Francesca, et al.. (2020). Visualization, Interaction and Analysis of Heterogeneous Textbook Resources. Future Internet. 12(10). 176–176. 1 indexed citations
15.
Fallucchi, Francesca, et al.. (2020). Predicting Employee Attrition Using Machine Learning Techniques. Computers. 9(4). 86–86. 134 indexed citations
16.
Fallucchi, Francesca, et al.. (2020). Pat-in-the-Loop: Declarative Knowledge for Controlling Neural Networks. Future Internet. 12(12). 218–218. 3 indexed citations
17.
Zanzotto, Fabio Massimo, et al.. (2020). KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations. IRIS Research product catalog (Sapienza University of Rome). 256–267. 24 indexed citations
18.
Bianchi, Marco, et al.. (2014). Service Level Agreement Constraints into Processes for Document Classification.. International Conference on Enterprise Information Systems. 545–550. 6 indexed citations
19.
Zanzotto, Fabio Massimo, Ioannis Korkontzelos, Francesca Fallucchi, & Suresh Manandhar. (2010). Estimating Linear Models for Compositional Distributional Semantics. Research Explorer (The University of Manchester). 1263–1271. 85 indexed citations
20.
Fallucchi, Francesca, et al.. (2009). Singular Value Decomposition for Feature Selection in Taxonomy Learning. Cineca Institutional Research Information System (Tor Vergata University). 82–87. 6 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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