Mario Alviano

1.4k citations
53 papers · 426 indexed · h-index 11

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
  • Signal Processing 18
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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

The 25 scholars most cited alongside Mario Alviano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Alviano Line = papers co-authored together Mario Alviano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20230
4 20230
5 20230
6 20234
7 20193
8
A Hybrid Approach to Optimization in Answer Set Programming
20183
9
Preference Relations by Approximation.
20180
10
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.
201792
11 20171
12
Completion of disjunctive logic programs
20166
13
On the properties of GZ-aggregates in answer set programming
20162
14 201617
15
A MaxSAT algorithm using cardinality constraints of bounded size
201527
16
Stable model semantics of abstract dialectical frameworks revisited: a logic programming perspective
20159
17
Reduct-based Stability Check Using Literal Assumptions
20153
18 201217
19
The Birth of a WASP: Preliminary Report on a New ASP Solver.
20115
20
The Maze Generation Problem is NP-complete.
20091

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), Logic, programming, and type systems (15 papers), Semantic Web and Ontologies (14 papers), Constraint Satisfaction and Optimization (10 papers), Formal Methods in Verification (6 papers), Bayesian Modeling and Causal Inference (4 papers) and Advanced Algebra and Logic (3 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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