Stefano Faralli

1.3k total citations
57 papers, 771 citations indexed

About

Stefano Faralli is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Stefano Faralli has authored 57 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 11 papers in Molecular Biology and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Stefano Faralli's work include Topic Modeling (23 papers), Natural Language Processing Techniques (19 papers) and Semantic Web and Ontologies (11 papers). Stefano Faralli is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (19 papers) and Semantic Web and Ontologies (11 papers). Stefano Faralli collaborates with scholars based in Italy, Germany and Spain. Stefano Faralli's co-authors include Roberto Navigli, Paola Velardi, Giovanni Stilo, Damiano Distante, Simone Paolo Ponzetto, Georgeta Bordea, Paul Buitelaar, Chris Biemann, Alexander Panchenko and Heiko Paulheim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and ACM Computing Surveys.

In The Last Decade

Stefano Faralli

52 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Faralli Italy 14 591 141 131 95 45 57 771
Katharina Siorpaes Austria 10 336 0.6× 56 0.4× 171 1.3× 125 1.3× 16 0.4× 13 483
Olena Medelyan New Zealand 15 1.2k 2.0× 137 1.0× 382 2.9× 37 0.4× 31 0.7× 20 1.3k
Xuan-Hieu Phan Japan 11 661 1.1× 51 0.4× 255 1.9× 28 0.3× 70 1.6× 42 825
Jyun‐Yu Jiang United States 14 389 0.7× 82 0.6× 215 1.6× 32 0.3× 30 0.7× 49 665
Hung‐Hsuan Chen Taiwan 14 237 0.4× 72 0.5× 219 1.7× 39 0.4× 133 3.0× 40 496
Andrés García-Silva Spain 6 586 1.0× 78 0.6× 224 1.7× 22 0.2× 24 0.5× 20 682
Rafael Muñoz Spain 18 729 1.2× 78 0.6× 149 1.1× 22 0.2× 13 0.3× 100 809
Oleg Rokhlenko United States 14 439 0.7× 202 1.4× 104 0.8× 24 0.3× 26 0.6× 44 716
Nedim Lipka United States 13 434 0.7× 46 0.3× 177 1.4× 24 0.3× 56 1.2× 44 601
Byron Marshall United States 12 185 0.3× 47 0.3× 184 1.4× 56 0.6× 24 0.5× 35 456

Countries citing papers authored by Stefano Faralli

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Faralli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Faralli

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Faralli. A scholar is included among the top collaborators of Stefano Faralli 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 Stefano Faralli. Stefano Faralli 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.
Velardi, Paola, et al.. (2025). AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence. IRIS Research product catalog (Sapienza University of Rome). 4717–4721.
2.
Distante, Damiano, et al.. (2025). Artificial intelligence applied to precision livestock farming: A tertiary study. Smart Agricultural Technology. 11. 100889–100889. 4 indexed citations
3.
Amalfitano, Domenico, Stefano Faralli, Jean Carlo Rossa Hauck, Santiago Matalonga, & Damiano Distante. (2023). Artificial Intelligence Applied to Software Testing: A Tertiary Study. ACM Computing Surveys. 56(3). 1–38. 14 indexed citations
4.
Faralli, Stefano, et al.. (2023). A Benchmark Study on Knowledge Graphs Enrichment and Pruning Methods in the Presence of Noisy Relationships. Journal of Artificial Intelligence Research. 78. 37–68. 1 indexed citations
5.
Distante, Damiano, et al.. (2021). Hidden space deep sequential risk prediction on student trajectories. Future Generation Computer Systems. 125. 532–543. 17 indexed citations
6.
Faralli, Stefano, et al.. (2021). An Enterprise Social Analytics Dashboard to Support Competence Valorization and Diversity Management. Applied Sciences. 11(18). 8385–8385. 2 indexed citations
7.
Faralli, Stefano, et al.. (2020). Multiple Knowledge GraphDB (MKGDB). Language Resources and Evaluation. 2325–2331. 2 indexed citations
8.
Biemann, Chris, Stefano Faralli, Alexander Panchenko, & Simone Paolo Ponzetto. (2018). A framework for enriching lexical semantic resources with distributional semantics. IRIS Research product catalog (Sapienza University of Rome). 5 indexed citations
9.
Naviglio, Daniele, Maria Michela Salvatore, Stefano Faralli, et al.. (2018). Iron (II) Citrate Complex as a Food Supplement: Synthesis, Characterization and Complex Stability. Nutrients. 10(11). 1647–1647. 11 indexed citations
10.
Naviglio, Daniele, Stefano Faralli, Martina Ciaravolo, et al.. (2018). Determination of Egg Number Added to Special Pasta by Means of Cholesterol Contained in Extracted Fat Using GC-FID. Foods. 7(9). 131–131. 4 indexed citations
11.
Panchenko, Alexander, et al.. (2017). Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. IRIS Research product catalog (Sapienza University of Rome). 86–98. 17 indexed citations
12.
Faralli, Stefano, et al.. (2016). Who-Does-What: a knowledge base of people's occupations and job activities. MADOC (University of Mannheim). 1 indexed citations
13.
Bizer, Christian, Kai Eckert, Stefano Faralli, et al.. (2016). A large database of hypernymy relations extracted from the Web. Language Resources and Evaluation. 360–367. 36 indexed citations
14.
Faralli, Stefano, Giovanni Stilo, & Paola Velardi. (2015). Large scale homophily analysis in twitter using a twixonomy. IRIS Research product catalog (Sapienza University of Rome). 2334–2340. 19 indexed citations
15.
Faralli, Stefano, et al.. (2013). GlossBoot: Bootstrapping Multilingual Domain Glossaries from the Web. IRIS Research product catalog (Sapienza University of Rome). 528–538. 14 indexed citations
16.
Faralli, Stefano & Roberto Navigli. (2013). A Java Framework for Multilingual Definition and Hypernym Extraction. IRIS Research product catalog (Sapienza University of Rome). 103–108. 7 indexed citations
17.
Velardi, Paola, et al.. (2012). A New Method for Evaluating Automatically Learned Terminological Taxonomies. Language Resources and Evaluation. 1498–1504. 9 indexed citations
18.
Faralli, Stefano & Roberto Navigli. (2012). A New Minimally-Supervised Framework for Domain Word Sense Disambiguation. IRIS Research product catalog (Sapienza University of Rome). 1411–1422. 27 indexed citations
19.
Navigli, Roberto, Paola Velardi, & Stefano Faralli. (2011). A graph-based algorithm for inducing lexical taxonomies from scratch. IRIS Research product catalog (Sapienza University of Rome). 1872–1877. 88 indexed citations
20.
Celentano, Augusto, Stefano Faralli, & Fabio Pittarello. (2009). The Situation Lens: A Metaphor for Personal Task Management on Mobile Devices. Journal of Computing Science and Engineering. 3(4). 238–259. 4 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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