Armando Tacchella

47 papers and 489 indexed citations i.

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 47 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 26 papers in Computational Theory and Mathematics and 9 papers in Software. Recurrent topics in Armando Tacchella’s work include Formal Methods in Verification (25 papers), Logic, Reasoning, and Knowledge (10 papers) and AI-based Problem Solving and Planning (7 papers). Armando Tacchella is often cited by papers focused on Formal Methods in Verification (25 papers), Logic, Reasoning, and Knowledge (10 papers) and AI-based Problem Solving and Planning (7 papers). Armando Tacchella collaborates with scholars based in Italy, Germany and United States. Armando Tacchella's co-authors include Enrico Giunchiglia, Luca Pulina, Massimo Narizzano, Claudio Castellini, Fausto Giunchiglia, Roberto Sebastiani, Erika Ábrahám, Lorenzo Natale, 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

Co-authorship network of co-authors of Armando Tacchella i

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.

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).

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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