Mario Alviano

45 papers receiving 413 citations

Peers

Mario Alviano
Comparison fields: 5 of 47
  • Artificial Intelligence 371
  • Computer Networks and Communications 107
  • Computational Theory and Mathematics 52
  • Computer Vision and Pattern Recognition 44
  • Information Systems 31
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Citations per field
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Citations per year

Countries citing papers authored by Mario Alviano

Since Specialization
Citations

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

Fields of papers citing papers by Mario Alviano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Alviano

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Alviano. A scholar is included among the top collaborators of Mario Alviano 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 Mario Alviano. Mario Alviano 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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 0
6 4
7 3
8
A Hybrid Approach to Optimization in Answer Set Programming
3
9
Preference Relations by Approximation.
0
10
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.
92
11 1
12
Completion of disjunctive logic programs
6
13
On the properties of GZ-aggregates in answer set programming
2
14 17
15
A MaxSAT algorithm using cardinality constraints of bounded size
27
16
Stable model semantics of abstract dialectical frameworks revisited: a logic programming perspective
9
17
Reduct-based Stability Check Using Literal Assumptions
3
18 17
19
The Birth of a WASP: Preliminary Report on a New ASP Solver.
5
20
The Maze Generation Problem is NP-complete.
1

About Mario Alviano

Mario Alviano is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 53 papers that have together received 426 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (45 papers), Multi-Agent Systems and Negotiation (32 papers) and Logic, programming, and type systems (15 papers). The work is most often cited by research in Artificial Intelligence (371 citations), Computer Networks and Communications (107 citations) and Computational Theory and Mathematics (52 citations). Mario Alviano has collaborated with scholars based in Italy, United Kingdom and Austria. Frequent co-authors include Carmine Dodaro, Rafael Peñaloza, Giovanni Amendola, Francesco Ricca, Nicola Leone, Wolfgang Faber, Marco Manna, Giovanni Grasso, Andréas Pieris and Gianluigi Greco. Their work appears in journals such as Artificial Intelligence, Lecture notes in computer science and International Journal of Approximate Reasoning.

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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