Armando Tacchella

4.3k total citations
64 papers, 645 citations indexed

About

Armando Tacchella is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Armando Tacchella has authored 64 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 31 papers in Computational Theory and Mathematics and 13 papers in Software. Recurrent topics in Armando Tacchella's work include Formal Methods in Verification (30 papers), Logic, Reasoning, and Knowledge (11 papers) and Machine Learning and Algorithms (10 papers). Armando Tacchella is often cited by papers focused on Formal Methods in Verification (30 papers), Logic, Reasoning, and Knowledge (11 papers) and Machine Learning and Algorithms (10 papers). Armando Tacchella collaborates with scholars based in Italy, Germany and United Kingdom. Armando Tacchella's co-authors include Enrico Giunchiglia, Luca Pulina, Massimo Narizzano, Claudio Castellini, Fausto Giunchiglia, Roberto Sebastiani, Lorenzo Natale, Erika Ábrahám, Giorgio Metta and Michele Colledanchise and has published in prestigious journals such as Artificial Intelligence, Neurocomputing and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Armando Tacchella

58 papers receiving 565 citations

Peers

Armando Tacchella

CTM

CNC

SOFTW

Andreas Bauer Germany

John Slaney Australia

Daniel Clancy United States

Simos Gerasimou United Kingdom

Stefan Leue Germany

Elena Troubitsynå Finland

Jifeng He China

Shahriar Lotfi Iran

Dana Nau United States

Andreas Bauer Germany

Armando Tacchella

296 ×0.7

308 ×1.1

CTM

149 ×1.1

CNC

205 ×1.6

SOFTW

81 ×1.4

Citations per year, relative to Armando Tacchella Armando Tacchella (= 1×) peers Andreas Bauer

Countries citing papers authored by Armando Tacchella

Since Specialization

Citations

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

Fields of papers citing papers by Armando Tacchella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armando Tacchella

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

All Works

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20 of 20 papers shown

Pulina, Luca, et al.. (2024). NeVer2: learning and verification of neural networks. Soft Computing. 28(19). 11647–11665. 1 indexed citations

Colledanchise, Michele, et al.. (2023). Learning Linear Temporal Properties for Autonomous Robotic Systems. IEEE Robotics and Automation Letters. 8(5). 2930–2937.

Pulina, Luca, et al.. (2023). Supporting Standardization of Neural Networks Verification with VNNLIB and CoCoNet. 16. 47–34. 2 indexed citations

Tacchella, Armando, et al.. (2019). Improving Reliability of Myocontrol Using Formal Verification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(4). 564–571. 9 indexed citations

Narizzano, Massimo, et al.. (2017). Learning middleware models for verification of distributed control programs. Robotics and Autonomous Systems. 92. 139–151. 3 indexed citations

Pulina, Luca, et al.. (2017). Verification and repair of control policies for safe reinforcement learning. Applied Intelligence. 48(4). 886–908. 17 indexed citations

Delzanno, Giorgio, Angelo Ferrando, Giovanna Guerrini, et al.. (2015). Computational thinking for beginners: A successful experience using prolog. BOA (University of Milano-Bicocca). 1459. 31–45. 6 indexed citations

Tacchella, Armando, et al.. (2014). Learning Nondeterministic Mealy Machines. CINECA IRIS Institutial Research Information System (University of Genoa). 109–123. 6 indexed citations

Pulina, Luca, et al.. (2013). How to Abstract Intelligence? (If Verification Is in Order).. National Conference on Artificial Intelligence. 3 indexed citations

10.

Pulina, Luca & Armando Tacchella. (2009). A structural approach to reasoning with quantified Boolean formulas. CINECA IRIS Institutial Research Information System (University of Genoa). 596–602. 7 indexed citations

11.

Pulina, Luca & Armando Tacchella. (2008). QuBIS : An (In)complete Solver for Quantified Boolean Formulas. Lecture notes in computer science. 5317. 34–43. 5 indexed citations

12.

Speckenmeyer, Ewald, Armando Tacchella, Vasco Manquinho, & Chu Min Li. (2008). Guest Editors Conclusion. 4(2-4). 279–280. 1 indexed citations

13.

Narizzano, Massimo, Luca Pulina, & Armando Tacchella. (2006). Report of the Third QBF Solvers Evaluation1. 2(1-4). 145–164. 18 indexed citations

14.

Giunchiglia, Enrico & Armando Tacchella. (2004). Theory and Applications of Satisfiability Testing: 6th International Conference, Sat 2003, Santa Margherita Ligure, Italy, May 5-8 2003: Selected Revised Papers (Lecture Notes in Computer Science, 2919). Springer eBooks. 43 indexed citations

15.

Giunchiglia, Enrico & Armando Tacchella. (2004). Theory and applications of satisfiability testing : 6th International Conference, SAT 2003, Santa Margherita Ligure, Italy, May 5-8, 2003 : selected revised papers. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 6 indexed citations

16.

Castellini, Claudio, Enrico Giunchiglia, & Armando Tacchella. (2003). SAT-based planning in complex domains: Concurrency, constraints and nondeterminism. Artificial Intelligence. 147(1-2). 85–117. 45 indexed citations

17.

Giunchiglia, Enrico, Massimo Narizzano, & Armando Tacchella. (2003). Backjumping for Quantified Boolean Logic satisfiability. Artificial Intelligence. 145(1-2). 99–120. 13 indexed citations

18.

Giunchiglia, Enrico, Massimo Narizzano, & Armando Tacchella. (2002). Learning for quantified boolean logic satisfiability. National Conference on Artificial Intelligence. 649–654. 26 indexed citations

19.

Giunchiglia, Enrico, Fausto Giunchiglia, & Armando Tacchella. (1999). *SAT, KSATC, DLP and TA: a comparative analysis.. Institutional Research Information System (Università degli Studi di Trento). 1 indexed citations

20.

Giunchiglia, Enrico, Fausto Giunchiglia, Roberto Sebastiani, & Armando Tacchella. (1998). More Evaluation of Decision Procedures for Modal Logics.. Institutional Research Information System (Università degli Studi di Trento). 626–635. 21 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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