Francesco Scarcello

4.6k total citations · 1 hit paper
73 papers, 1.9k citations indexed

About

Francesco Scarcello is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Francesco Scarcello has authored 73 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computational Theory and Mathematics, 27 papers in Computer Networks and Communications and 22 papers in Artificial Intelligence. Recurrent topics in Francesco Scarcello's work include Advanced Graph Theory Research (26 papers), Data Management and Algorithms (16 papers) and Logic, Reasoning, and Knowledge (15 papers). Francesco Scarcello is often cited by papers focused on Advanced Graph Theory Research (26 papers), Data Management and Algorithms (16 papers) and Logic, Reasoning, and Knowledge (15 papers). Francesco Scarcello collaborates with scholars based in Italy, Austria and Nigeria. Francesco Scarcello's co-authors include Nicola Leone, Georg Gottlob, Gianluigi Greco, Thomas Eiter, Gerald Pfeifer, Simona Perri, Wolfgang Faber, Pasquale Rullo, Luigi Palopoli and Cristinel Mateis and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Wireless Communications.

In The Last Decade

Francesco Scarcello

72 papers receiving 1.8k citations

Hit Papers

The DLV system for knowledge representation and reasoning 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Scarcello Italy 19 1.1k 825 659 370 209 73 1.9k
Christian Bessière France 22 731 0.6× 1.1k 1.3× 242 0.4× 602 1.6× 220 1.1× 93 1.6k
Stefano Bistarelli Italy 17 783 0.7× 772 0.9× 265 0.4× 338 0.9× 148 0.7× 133 1.5k
Carmel Domshlak Israel 25 2.0k 1.7× 1.1k 1.3× 369 0.6× 507 1.4× 290 1.4× 83 2.5k
Nicola Leone Italy 26 2.7k 2.4× 1.1k 1.3× 804 1.2× 523 1.4× 141 0.7× 135 3.3k
Kazuhisa Makino Japan 18 362 0.3× 329 0.4× 587 0.9× 85 0.2× 116 0.6× 146 1.1k
Luigi Palopoli Italy 18 598 0.5× 460 0.6× 129 0.2× 142 0.4× 158 0.8× 105 1.0k
Nina Narodytska Australia 14 575 0.5× 158 0.2× 147 0.2× 101 0.3× 129 0.6× 53 819
Timothy G. Griffin United Kingdom 26 963 0.8× 2.4k 2.9× 398 0.6× 253 0.7× 192 0.9× 67 2.8k
Erik Vee United States 19 404 0.4× 539 0.7× 126 0.2× 328 0.9× 178 0.9× 35 954
Kousha Etessami United States 19 820 0.7× 282 0.3× 834 1.3× 48 0.1× 134 0.6× 51 1.4k

Countries citing papers authored by Francesco Scarcello

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Scarcello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Scarcello

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Scarcello. A scholar is included among the top collaborators of Francesco Scarcello 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 Scarcello. Francesco Scarcello 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.
Avola, Danilo, Luigi Cinque, Gian Luca Foresti, et al.. (2023). A Novel Transformer-Based IMU Self-Calibration Approach through On-Board RGB Camera for UAV Flight Stabilization. Sensors. 23(5). 2655–2655. 5 indexed citations
2.
Scarcello, Francesco. (2018). From Hypertree Width to Submodular Width and Data-dependent Structural Decompositions.. SEBD. 2 indexed citations
3.
Greco, Gianluigi, et al.. (2015). Structural tractability of shapley and Banzhaf values in allocation games. International Conference on Artificial Intelligence. 547–553. 6 indexed citations
4.
Greco, Gianluigi, et al.. (2011). On the complexity of the core over coalition structures. Research Portal (King's College London). 216–221. 24 indexed citations
5.
Greco, Gianluigi, et al.. (2009). On the complexity of compact coalitional games. International Joint Conference on Artificial Intelligence. 147–152. 15 indexed citations
6.
Greco, Gianluigi, et al.. (2009). Constrained coalitional games: formal framework, properties, and complexity results. Adaptive Agents and Multi-Agents Systems. 1295–1296. 4 indexed citations
7.
Gottlob, Georg, Gianluigi Greco, & Francesco Scarcello. (2005). The complexity of quantified constraint satisfaction problems under structural restrictions. Oxford University Research Archive (ORA) (University of Oxford). 150–155. 10 indexed citations
8.
Greco, Gianluigi & Francesco Scarcello. (2004). Constrained pure Nash equilibria in graphical games. European Conference on Artificial Intelligence. 181–185. 4 indexed citations
9.
Leone, Nicola, Simona Perri, & Francesco Scarcello. (2004). BackJumping Techniques for Rules Instantiation in the DLV System. 258–266. 5 indexed citations
10.
Greco, Gianluigi & Francesco Scarcello. (2003). Non-binary constraints and optimal dual-graph representations. International Joint Conference on Artificial Intelligence. 227–232. 2 indexed citations
11.
Leone, Nicola, et al.. (2002). Cost-based Query Decompositions.. SEBD. 390–403. 2 indexed citations
12.
Gottlob, Georg, Nicola Leone, & Francesco Scarcello. (2002). Hypertree Decompositions and Tractable Queries. Journal of Computer and System Sciences. 64(3). 579–627. 197 indexed citations
13.
Scarcello, Francesco. (2001). Robbers, marshals, and guards. 1 indexed citations
14.
Gottlob, Georg, Nicola Leone, & Francesco Scarcello. (2000). A comparison of structural CSP decomposition methods. Artificial Intelligence. 124(2). 243–282. 162 indexed citations
15.
Gottlob, Georg, Nicola Leone, & Francesco Scarcello. (2000). Advanced Parallel Algorithms far Processing Acyclic Conjunctive Queries, Rules, and Constraints,. Software Engineering and Knowledge Engineering. 167–176. 1 indexed citations
16.
Gottlob, Georg, Nicola Leone, & Francesco Scarcello. (1999). A comparison of structural CSP decomposition methods. Oxford University Research Archive (ORA) (University of Oxford). 1. 394–399. 24 indexed citations
17.
Eiter, Thomas, Nicola Leone, Cristinel Mateis, Gerald Pfeifer, & Francesco Scarcello. (1998). The KR system dlv: progress report, comparisons and benchmarks. Principles of Knowledge Representation and Reasoning. 406–417. 100 indexed citations
18.
Eiter, Thomas, Wolfgang Faber, Georg Gottlob, et al.. (1997). The dlv System: Model Generator and Application Frontends. 24 indexed citations
19.
Eiter, Thomas, Nicola Leone, Cristinel Mateis, Gerald Pfeifer, & Francesco Scarcello. (1997). The Architecture of a Disjunctive Deductive Database System.. 141–152. 2 indexed citations
20.
Eiter, Thomas, Wolfgang Faber, Georg Gottlob, et al.. (1997). The dlv System: Model Generator and Advanced Frontends (system description). Oxford University Research Archive (ORA) (University of Oxford). 9(6). 0–3. 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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