Franco Turini

9.1k total citations · 1 hit paper
66 papers, 4.0k citations indexed

About

Franco Turini is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Franco Turini has authored 66 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 21 papers in Information Systems and 21 papers in Signal Processing. Recurrent topics in Franco Turini's work include Data Management and Algorithms (17 papers), Data Mining Algorithms and Applications (15 papers) and Logic, Reasoning, and Knowledge (12 papers). Franco Turini is often cited by papers focused on Data Management and Algorithms (17 papers), Data Mining Algorithms and Applications (15 papers) and Logic, Reasoning, and Knowledge (12 papers). Franco Turini collaborates with scholars based in Italy, Netherlands and Switzerland. Franco Turini's co-authors include Salvatore Ruggieri, Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Antonio Brogi, Andrea Romei, Paolo Mancarella, Francesco Bonchi and Michele Berlingerio and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and IEEE Transactions on Software Engineering.

In The Last Decade

Franco Turini

61 papers receiving 3.8k citations

Hit Papers

A survey of methods for explaining black box models 2019 2026 2021 2023 2019 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franco Turini Italy 17 2.8k 753 417 356 274 66 4.0k
Salvatore Ruggieri Italy 23 3.0k 1.1× 874 1.2× 576 1.4× 375 1.1× 346 1.3× 123 5.0k
Richard Benjamins Spain 10 3.1k 1.1× 658 0.9× 413 1.0× 664 1.9× 389 1.4× 28 5.3k
Alberto Barbado Spain 3 3.0k 1.1× 632 0.8× 317 0.8× 656 1.8× 377 1.4× 5 5.0k
Anna Monreale Italy 22 2.6k 0.9× 349 0.5× 401 1.0× 337 0.9× 345 1.3× 82 4.3k
Adrien Bennetot France 5 3.0k 1.1× 637 0.8× 322 0.8× 664 1.9× 387 1.4× 5 5.0k
Simone Stumpf United Kingdom 27 1.8k 0.7× 547 0.7× 399 1.0× 409 1.1× 441 1.6× 89 3.9k
Moritz Hardt United States 22 3.1k 1.1× 1.0k 1.3× 306 0.7× 174 0.5× 675 2.5× 56 4.8k
Riccardo Guidotti Italy 19 2.8k 1.0× 386 0.5× 259 0.6× 549 1.5× 325 1.2× 71 4.6k
Mohammed Berrada Morocco 12 2.0k 0.7× 409 0.5× 268 0.6× 422 1.2× 301 1.1× 48 3.6k
Amina Adadi Morocco 10 2.1k 0.8× 416 0.6× 276 0.7× 448 1.3× 314 1.1× 19 3.5k

Countries citing papers authored by Franco Turini

Since Specialization
Citations

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

Fields of papers citing papers by Franco Turini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franco Turini

This figure shows the co-authorship network connecting the top 25 collaborators of Franco Turini. A scholar is included among the top collaborators of Franco Turini 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 Franco Turini. Franco Turini 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.
Guidotti, Riccardo, Anna Monreale, Salvatore Ruggieri, et al.. (2022). Stable and actionable explanations of black-box models through factual and counterfactual rules. Data Mining and Knowledge Discovery. 38(5). 2825–2862. 15 indexed citations
2.
Guidotti, Riccardo, Anna Monreale, Salvatore Ruggieri, et al.. (2019). A survey of methods for explaining black box models. ISTI Open Portal. 2443 indexed citations breakdown →
3.
Pedreschi, Dino, Fosca Giannotti, Riccardo Guidotti, et al.. (2019). Meaningful Explanations of Black Box AI Decision Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 9780–9784. 104 indexed citations
4.
Romei, Andrea, Salvatore Ruggieri, & Franco Turini. (2015). The layered structure of company share networks. CINECA IRIS Institutial research information system (University of Pisa). 1–10. 6 indexed citations
5.
Pedreschi, Dino, Salvatore Ruggieri, & Franco Turini. (2012). A study of top-k measures for discrimination discovery. CINECA IRIS Institutial research information system (University of Pisa). 126–131. 28 indexed citations
6.
Romei, Andrea & Franco Turini. (2010). Inductive database languages: requirements and examples. Knowledge and Information Systems. 26(3). 351–384. 7 indexed citations
7.
Pedreschi, Dino, Salvatore Ruggieri, & Franco Turini. (2009). Measuring Discrimination in Socially-Sensitive Decision Records. 581–592. 97 indexed citations
8.
Ruggieri, Salvatore, et al.. (2008). Discrimination-aware data mining. UnipiEprints Open Archive (Università di Pisa). 560–568. 335 indexed citations
9.
Berlingerio, Michele, Francesco Bonchi, Fosca Giannotti, & Franco Turini. (2007). Mining Clinical Data with a Temporal Dimension: A Case Study. PubMed. 2007. 429–436. 21 indexed citations
10.
Renso, Chiara, et al.. (2000). Using MedLan to integrate geographical data. The Journal of Logic Programming. 43(1). 3–14. 4 indexed citations
11.
Giannotti, Fosca, Giuseppe Manco, Mirco Nanni, Dino Pedreschi, & Franco Turini. (1999). Integration of Deduction and Induction for Mining Supermarket Sales Data.. CINECA IRIS Institutial research information system (University of Pisa). 117–131. 2 indexed citations
12.
Pallotta, Vincenzo & Franco Turini. (1998). Towards a Fluent Logic Programming. UnipiEprints Open Archive (Università di Pisa).
13.
Renso, Chiara, et al.. (1997). Applying restriction constraints to deductive databases. Annals of Mathematics and Artificial Intelligence. 19(1-2). 3–25. 5 indexed citations
14.
Brogi, Antonio & Franco Turini. (1995). Fully abstract compositional semantics for an algebra of logic programs. Theoretical Computer Science. 149(2). 201–229. 10 indexed citations
15.
Barbuti, Roberto, Paolo Mancarella, Dino Pedreschi, & Franco Turini. (1990). A transformational approach to negation in logic programming. The Journal of Logic Programming. 8(3). 201–228. 26 indexed citations
16.
Giannotti, Fosca, et al.. (1990). The logiform system. Computers & Mathematics with Applications. 20(9-10). 83–99. 1 indexed citations
17.
Ferrari, Gian-Luigi, et al.. (1990). RSF: a formalism for executable requirement specifications. IEEE Transactions on Software Engineering. 16(11). 1235–1246. 14 indexed citations
18.
Degano, Pierpaolo, et al.. (1979). A flexible environment for program development based on a symbolic interpreter. International Conference on Software Engineering. 251–263. 7 indexed citations
19.
Montangero, Carlo, et al.. (1977). Two-level control structure for nondeterministic programming. Communications of the ACM. 20(10). 725–730. 6 indexed citations
20.
Montangero, Carlo, et al.. (1975). MAGMA-Lisp: a Machine language for artificial intelligence. International Joint Conference on Artificial Intelligence. 556–561. 9 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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