Simona Perri

2.2k total citations · 1 hit paper
34 papers, 704 citations indexed

About

Simona Perri is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Simona Perri has authored 34 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Simona Perri's work include Logic, Reasoning, and Knowledge (30 papers), Multi-Agent Systems and Negotiation (20 papers) and Semantic Web and Ontologies (13 papers). Simona Perri is often cited by papers focused on Logic, Reasoning, and Knowledge (30 papers), Multi-Agent Systems and Negotiation (20 papers) and Semantic Web and Ontologies (13 papers). Simona Perri collaborates with scholars based in Italy, Germany and United Kingdom. Simona Perri's co-authors include Nicola Leone, Francesco Scarcello, Wolfgang Faber, Thomas Eiter, Gerald Pfeifer, Georg Gottlob, Francesco Calimeri, Torsten Schaub, Francesco Ricca and Benjamin Kaufmann and has published in prestigious journals such as Journal of Algorithms, AI Magazine and Big Data and Cognitive Computing.

In The Last Decade

Simona Perri

30 papers receiving 642 citations

Hit Papers

The DLV system for knowledge representation and reasoning 2006 2026 2012 2019 2006 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The DLV system for knowledge representation and reasoning
    2006 501 citations Nicola Leone, Gerald Pfeifer et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simona Perri Italy 8 665 145 101 45 33 34 704
Giovambattista Ianni Italy 12 555 0.8× 149 1.0× 53 0.5× 97 2.2× 39 1.2× 43 605
Paolo Liberatore Italy 16 547 0.8× 130 0.9× 192 1.9× 37 0.8× 27 0.8× 54 611
Patrik Simons Germany 5 660 1.0× 98 0.7× 152 1.5× 45 1.0× 23 0.7× 5 686
Meghyn Bienvenu France 12 388 0.6× 210 1.4× 75 0.7× 60 1.3× 42 1.3× 45 429
Mario Alviano Italy 11 371 0.6× 107 0.7× 52 0.5× 31 0.7× 18 0.5× 53 426
Ullrich Hustadt United Kingdom 14 645 1.0× 215 1.5× 168 1.7× 152 3.4× 29 0.9× 51 685
Boris Konev United Kingdom 11 356 0.5× 106 0.7× 141 1.4× 85 1.9× 12 0.4× 54 397
Terrance Swift United States 14 619 0.9× 170 1.2× 200 2.0× 98 2.2× 68 2.1× 37 687
Peeter Laud Estonia 12 367 0.6× 156 1.1× 75 0.7× 139 3.1× 31 0.9× 48 417
Ian A. Mason United States 11 487 0.7× 240 1.7× 259 2.6× 78 1.7× 14 0.4× 22 634

Countries citing papers authored by Simona Perri

Since Specialization
Citations

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

Fields of papers citing papers by Simona Perri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simona Perri

This figure shows the co-authorship network connecting the top 25 collaborators of Simona Perri. A scholar is included among the top collaborators of Simona Perri 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 Simona Perri. Simona Perri 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.
Calimeri, Francesco, et al.. (2024). LLASP: Fine-tuning Large Language Models for Answer Set Programming. 834–844.
2.
Calimeri, Francesco, et al.. (2023). EnviroStream: A Stream Reasoning Benchmark for Environmental and Climate Monitoring. Big Data and Cognitive Computing. 7(3). 135–135.
3.
Calimeri, Francesco, et al.. (2023). ASP-Based Declarative Reasoning in Data-Intensive Enterprise and IoT Applications. Algorithms. 16(3). 159–159.
4.
Calimeri, Francesco, et al.. (2022). ASP-based Multi-shot Reasoning via DLV2 with Incremental Grounding. 1–9. 2 indexed citations
5.
Perri, Simona, et al.. (2020). A Machine Learning guided Rewriting Approach for ASP Logic Programs. Electronic Proceedings in Theoretical Computer Science. 325. 261–267. 1 indexed citations
6.
Calimeri, Francesco, et al.. (2019). Large-Scale Reasoning on Expressive Horn Ontologies.. 2368. 10–21. 1 indexed citations
7.
Leone, Nicola, et al.. (2018). First Steps towards Reasoning on Big Data with DLV. SEBD. 2161. 1. 1 indexed citations
8.
Calimeri, Francesco, et al.. (2018). The AI system DLV: Ontologies, reasoning, and more. 2. 5–16. 1 indexed citations
9.
Gebser, Martin, Nicola Leone, Marco Maratea, et al.. (2018). Evaluation Techniques and Systems for Answer Set Programming: a Survey. CINECA IRIS Institutial Research Information System (University of Genoa). 5450–5456. 22 indexed citations
10.
Calimeri, Francesco, et al.. (2018). Efficiently Coupling the I-DLV Grounder with ASP Solvers. Theory and Practice of Logic Programming. 20(2). 205–224. 5 indexed citations
11.
Alviano, Mario, Francesco Calimeri, Carmine Dodaro, et al.. (2018). The ASP System DLV: Advancements and Applications. KI - Künstliche Intelligenz. 32(2-3). 177–179. 21 indexed citations
12.
Calimeri, Francesco, et al.. (2017). I-DLV+MS: Preliminary Report on an Automatic ASP Solver Selector.. 2011. 26–32. 4 indexed citations
13.
Calimeri, Francesco, et al.. (2013). Answer set programming and declarative problem solving in game AIs. 1107. 81–88. 1 indexed citations
14.
Calimeri, Francesco, et al.. (2013). The Eternal Battle between Determinism and Nondeterminism: preliminary Studies in the Sudoku Domain. 1 indexed citations
15.
Perri, Simona, et al.. (2008). Efficient Parallel ASP Instantiation via Dynamic Rewriting. International Conference on Lightning Protection. 1 indexed citations
16.
Perri, Simona, et al.. (2007). Enhancing DLV instantiator by backjumping techniques. Annals of Mathematics and Artificial Intelligence. 51(2-4). 195–228. 16 indexed citations
17.
Perri, Simona, Francesco Scarcello, & Nicola Leone. (2005). Abductive logic programs with penalization: semantics, complexity and implementation. Theory and Practice of Logic Programming. 5(1-2). 123–159. 7 indexed citations
18.
Calimeri, Francesco, Wolfgang Faber, Nicola Leone, & Simona Perri. (2005). Declarative and Computational Properties of Logic Programs with Aggregates.. International Joint Conference on Artificial Intelligence. 406–411. 19 indexed citations
19.
Leone, Nicola, Simona Perri, & Francesco Scarcello. (2004). BackJumping Techniques for Rules Instantiation in the DLV System. 258–266. 5 indexed citations
20.
Calimeri, Francesco, Wolfgang Faber, Nicola Leone, Simona Perri, & Gerald Pfeifer. (2001). DLV - Declarative Problem Solving Using Answer Set Programming. 1 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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