Paolo Mancarella

1.9k total citations
40 papers, 755 citations indexed

About

Paolo Mancarella is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Paolo Mancarella has authored 40 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Paolo Mancarella's work include Logic, Reasoning, and Knowledge (30 papers), Multi-Agent Systems and Negotiation (17 papers) and Logic, programming, and type systems (17 papers). Paolo Mancarella is often cited by papers focused on Logic, Reasoning, and Knowledge (30 papers), Multi-Agent Systems and Negotiation (17 papers) and Logic, programming, and type systems (17 papers). Paolo Mancarella collaborates with scholars based in Italy, United Kingdom and Cyprus. Paolo Mancarella's co-authors include Antonis Kakas, Francesca Toni, Phan Minh Dũng, Dino Pedreschi, Franco Turini, Fariba Sadri, Antonio Brogi, Kostas Stathis, Roberto Barbuti and Ulle Endriss and has published in prestigious journals such as Nature, Artificial Intelligence and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Paolo Mancarella

37 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Mancarella Italy 12 718 112 111 48 47 40 755
Sébastien Konieczny France 13 787 1.1× 160 1.4× 78 0.7× 36 0.8× 55 1.2× 36 877
James P. Delgrande Canada 18 961 1.3× 208 1.9× 154 1.4× 34 0.7× 31 0.7× 109 1.0k
Gerald Pfeifer Austria 14 1.1k 1.5× 183 1.6× 225 2.0× 62 1.3× 30 0.6× 31 1.1k
Bernhard Hollunder Germany 15 767 1.1× 146 1.3× 205 1.8× 201 4.2× 23 0.5× 29 822
João Leite Portugal 13 442 0.6× 58 0.5× 43 0.4× 44 0.9× 16 0.3× 60 493
Ea Sonenberg Australia 7 258 0.4× 77 0.7× 56 0.5× 18 0.4× 29 0.6× 14 316
Simona Perri Italy 8 665 0.9× 101 0.9× 145 1.3× 45 0.9× 19 0.4× 34 704
Emily Shen United States 9 329 0.5× 51 0.5× 83 0.7× 129 2.7× 58 1.2× 17 405
Evgeny Dantsin United States 9 505 0.7× 219 2.0× 249 2.2× 57 1.2× 25 0.5× 21 641
Souhila Kaci France 11 277 0.4× 81 0.7× 94 0.8× 35 0.7× 17 0.4× 24 385

Countries citing papers authored by Paolo Mancarella

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Mancarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Mancarella

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Mancarella. A scholar is included among the top collaborators of Paolo Mancarella 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 Paolo Mancarella. Paolo Mancarella 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.
Kakas, Antonis, Francesca Toni, & Paolo Mancarella. (2014). Argumentation for Propositional Logic and Nonmonotonic Reasoning.. 272–286. 4 indexed citations
2.
Chicco, Gianfranco, et al.. (2008). Assessing the performance of microturbine clusters. PORTO Publications Open Repository TOrino (Politecnico di Torino). 2 indexed citations
3.
Aliprandi, Carlo, et al.. (2007). A word predictor for inflected languages: system design and user-centric interface. International Conference on Human-Computer Interaction. 148–153. 4 indexed citations
4.
Dũng, Phan Minh, Paolo Mancarella, & Francesca Toni. (2006). A dialectic procedure for sceptical, assumption-based argumentation. CINECA IRIS Institutial research information system (University of Pisa). 145–156. 33 indexed citations
5.
Bracciali, Andrea, Paolo Mancarella, Kostas Stathis, & Francesca Toni. (2005). Stable Multi-agent Systems. Lecture notes in computer science. 322–334. 6 indexed citations
6.
Kakas, Antonis, Paolo Mancarella, Fariba Sadri, Kostas Stathis, & Francesca Toni. (2004). The KGP model of agency. CINECA IRIS Institutial research information system (University of Pisa). 28–32. 41 indexed citations
7.
Endriss, Ulle, et al.. (2004). The CIFF proof procedure: definition and soundness results. Spiral (Imperial College London). 3 indexed citations
8.
Dũng, Phan Minh & Paolo Mancarella. (1996). Production systems need negation as failure. CINECA IRIS Institutial research information system (University of Pisa). 1242–1247. 1 indexed citations
9.
Mancarella, Paolo, et al.. (1995). LOO: An Object Oriented Logic Programming Language. Nature. 215(5103). 271–282. 1 indexed citations
10.
Kakas, Antonis & Paolo Mancarella. (1992). Short note preferred extensions are partial stable models. The Journal of Logic Programming. 14(3-4). 341–348. 20 indexed citations
11.
Brogi, Antonio, Evelina Lamma, Paolo Mancarella, & Paola Mello. (1992). Normal Logic Programs as Open Positive Programs.. CINECA IRIS Institutial research information system (University of Pisa). 783–797. 9 indexed citations
12.
Kakas, Antonis & Paolo Mancarella. (1991). Negation as Stable Hypotheses.. CINECA IRIS Institutial research information system (University of Pisa). 87(3-4). 275–288. 10 indexed citations
13.
Brogi, Antonio, et al.. (1991). Theory Construction in Computational Logic.. CINECA IRIS Institutial research information system (University of Pisa). 241–250. 2 indexed citations
14.
Kakas, Antonis & Paolo Mancarella. (1991). Stable Theories for Logic Programs.. Applied Biochemistry and Biotechnology. 160(7). 85–100. 17 indexed citations
15.
Mancarella, Paolo, et al.. (1990). Algebraic properties of a class of logic programs. CINECA IRIS Institutial research information system (University of Pisa). 23–39. 4 indexed citations
16.
Kakas, Antonis & Paolo Mancarella. (1990). Database Updates through Abduction. CINECA IRIS Institutial research information system (University of Pisa). 650–661. 99 indexed citations
17.
Brogi, Antonio, et al.. (1990). Universal quantification by case analysis. European Conference on Artificial Intelligence. 180(2). 111–116. 1 indexed citations
18.
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
19.
Kakas, Antonis & Paolo Mancarella. (1990). Generalized stable models: a semantics for abduction. CINECA IRIS Institutial research information system (University of Pisa). 385–391. 94 indexed citations
20.
Mancarella, Paolo & Dino Pedreschi. (1988). An Algebra of Logic Programs. CINECA IRIS Institutial research information system (University of Pisa). 1006–1023. 32 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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