Francesco Ricca

63 papers receiving 967 citations

Hit Papers

Proceedings of the International Joint Conference on Arti...20172026202020232017100200300400

Peers

Francesco Ricca
Comparison fields: 5 of 84
  • Artificial Intelligence 775
  • Computer Vision and Pattern Recognition 181
  • Computer Networks and Communications 154
  • Information Systems 101
  • Computational Theory and Mathematics 85
Replace Pramod Kumar Singh with:
Pramod Kumar Singh India
Hongyun Cai Singapore
William M. Pottenger United States
Yixin Liu United States
Selma Ayşe Özel Türkiye
Asgarali Bouyer Iran
Don‐Lin Yang Taiwan
Bhaskar Biswas India
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Francesco Ricca relative to Pramod Kumar Singh India Pramod Kumar Singh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Francesco Ricca

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Ricca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Ricca

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Ricca. A scholar is included among the top collaborators of Francesco Ricca 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 Francesco Ricca. Francesco Ricca 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 3
2 8
3 0
4 1
5
Large-Scale Reasoning on Expressive Horn Ontologies.
1
6 2
7
Debugging of answer set programs using paracoherent reasoning
1
8
First Steps towards Reasoning on Big Data with DLV
1
9
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2017)breakdown →
433
10
The Design of the Sixth Answer Set Programming Competition - - Report -.
7
11
A MaxSAT algorithm using cardinality constraints of bounded size
27
12
Reduct-based Stability Check Using Literal Assumptions
3
13
JASP: a framework for integrating answer set programming with Java
6
14
Datalog Development Tools - (Extended Abstract).
0
15
The Birth of a WASP: Preliminary Report on a New ASP Solver.
5
16
Efficient Parallel ASP Instantiation via Dynamic Rewriting
1
17
Exploiting agents in e-learning and skills management context
17
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A backjumping technique for disjunctive logic programming
18
19 0
20
The DLV Java Wrapper.
16

About Francesco Ricca

Francesco Ricca is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (61 papers), Multi-Agent Systems and Negotiation (43 papers) and Logic, programming, and type systems (28 papers). The work is most often cited by research in Artificial Intelligence (775 citations), Computer Vision and Pattern Recognition (181 citations) and Computer Networks and Communications (154 citations). Francesco Ricca has collaborated with scholars based in Italy, United Kingdom and Austria. Frequent co-authors include Giovanni Amendola, Mirosław Truszczyński, Marco Maratea, Nicola Leone, Francesco Calimeri, Carmine Dodaro, Martin Gebser, Mario Alviano, Marco Manna and Giovambattista Ianni. Their work appears in journals such as Expert Systems with Applications, Artificial Intelligence and Computers in Biology and Medicine.

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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