Marco Maratea

1.8k total citations
68 papers, 519 citations indexed

About

Marco Maratea is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Marco Maratea has authored 68 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 21 papers in Computer Networks and Communications and 7 papers in Computational Theory and Mathematics. Recurrent topics in Marco Maratea's work include Logic, Reasoning, and Knowledge (52 papers), Multi-Agent Systems and Negotiation (32 papers) and Constraint Satisfaction and Optimization (18 papers). Marco Maratea is often cited by papers focused on Logic, Reasoning, and Knowledge (52 papers), Multi-Agent Systems and Negotiation (32 papers) and Constraint Satisfaction and Optimization (18 papers). Marco Maratea collaborates with scholars based in Italy, United Kingdom and Germany. Marco Maratea's co-authors include Enrico Giunchiglia, Francesco Ricca, Yuliya Lierler, Martin Gebser, Carmine Dodaro, Nicola Leone, Francesco Calimeri, Mauro Vallati, Giuseppe Galatà and Ivan Porro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Engineering Applications of Artificial Intelligence.

In The Last Decade

Marco Maratea

56 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Maratea Italy 13 432 132 97 27 24 68 519
Álvaro Torralba Germany 12 277 0.6× 101 0.8× 62 0.6× 36 1.3× 14 0.6× 51 338
Charles Gretton Australia 11 259 0.6× 50 0.4× 65 0.7× 27 1.0× 40 1.7× 30 359
Daniel Höller Germany 16 496 1.1× 115 0.9× 79 0.8× 20 0.7× 17 0.7× 39 558
Amal El Fallah Seghrouchni France 9 191 0.4× 107 0.8× 37 0.4× 19 0.7× 24 1.0× 48 312
Jakob Bossek Germany 11 240 0.6× 59 0.4× 157 1.6× 126 4.7× 14 0.6× 47 355
Ralph Rönnquist Australia 6 184 0.4× 79 0.6× 24 0.2× 44 1.6× 18 0.8× 18 257
Yong-Feng Ge China 10 230 0.5× 41 0.3× 76 0.8× 27 1.0× 17 0.7× 29 338
Vijay Gehlot United States 8 68 0.2× 78 0.6× 125 1.3× 7 0.3× 16 0.7× 44 280
J. Lee Taiwan 9 142 0.3× 52 0.4× 64 0.7× 19 0.7× 24 1.0× 22 281
Emin Erkan Korkmaz Türkiye 6 157 0.4× 41 0.3× 73 0.8× 98 3.6× 14 0.6× 24 277

Countries citing papers authored by Marco Maratea

Since Specialization
Citations

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

Fields of papers citing papers by Marco Maratea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Maratea

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Maratea. A scholar is included among the top collaborators of Marco Maratea 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 Marco Maratea. Marco Maratea 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.
Guerriero, Francesca, et al.. (2025). Chatgpt and operations research: evaluation on the shortest path problem. Soft Computing. 29(3). 1407–1418. 1 indexed citations
2.
Galatà, Giuseppe, et al.. (2024). Rescheduling master surgical schedules via answer set programming. Progress in Artificial Intelligence.
3.
Galatà, Giuseppe, et al.. (2023). Scheduling pre-operative assessment clinic with answer set programming. Journal of Logic and Computation. 34(3). 465–493. 3 indexed citations
4.
Dodaro, Carmine, et al.. (2022). Operating Room (Re)Scheduling with Bed Management via ASP. CINECA IRIS Institutial Research Information System (University of Genoa). 5 indexed citations
5.
Dodaro, Carmine, et al.. (2021). An ASP-based Solution to the Chemotherapy Treatment Scheduling problem. CINECA IRIS Institutial Research Information System (University of Genoa). 16 indexed citations
6.
Bontempi, Gianluca, Ricardo Chavarriaga, Holger H. Hoos, et al.. (2021). The CLAIRE COVID-19 initiative: approach, experiences and recommendations. Ethics and Information Technology. 23(S1). 127–133. 2 indexed citations
7.
Dodaro, Carmine, et al.. (2020). Chemotherapy Treatment Scheduling via Answer Set Programming.. CINECA IRIS Institutial Research Information System (University of Genoa). 342–356. 1 indexed citations
8.
Maratea, Marco, et al.. (2018). On the manipulation of articulated objects in human-robot cooperation scenarios. CINECA IRIS Institutial Research Information System (University of Genoa). 22 indexed citations
9.
Balduccini, Marcello, Daniele Magazzeni, & Marco Maratea. (2016). PDDL+ planning via constraint answer set programming. Research Portal (King's College London).
10.
Maratea, Marco, et al.. (2015). Abstract Answer Set Solvers for Cautious Reasoning. CINECA IRIS Institutial Research Information System (University of Genoa). 1 indexed citations
11.
Gebser, Martin, Marco Maratea, & Francesco Ricca. (2015). The Design of the Sixth Answer Set Programming Competition - - Report -.. 531–544. 7 indexed citations
12.
Adorni, Giovanni, et al.. (2015). An Ontology-Based Archive for Historical Research.. CINECA IRIS Institutial Research Information System (University of Genoa).
13.
Calimeri, Francesco, Martin Gebser, Marco Maratea, & Francesco Ricca. (2015). Design and results of the Fifth Answer Set Programming Competition. Artificial Intelligence. 231. 151–181. 43 indexed citations
14.
Armando, Alessandro, Enrico Giunchiglia, Marco Maratea, & Serena Elisa Ponta. (2011). An action-based approach to the formal specification and automatic analysis of business processes under authorization constraints. Journal of Computer and System Sciences. 78(1). 119–141. 8 indexed citations
15.
Giunchiglia, Enrico & Marco Maratea. (2010). A Pseudo-Boolean approach for solving planning problems with IPC simple preferences. CINECA IRIS Institutial Research Information System (University of Genoa). 1 indexed citations
16.
Carthel, Craig, Stefano Coraluppi, Peter Willett, Marco Maratea, & Alain Maguer. (2009). Maximum likelihood approach to HF radar performance characterization. CINECA IRIS Institutial Research Information System (University of Genoa). 1084–1091. 2 indexed citations
17.
Giunchiglia, Enrico & Marco Maratea. (2007). Planning as satisfiability with preferences. CINECA IRIS Institutial Research Information System (University of Genoa). 987–992. 25 indexed citations
18.
Giunchiglia, Enrico & Marco Maratea. (2006). Solving Optimization Problems with DLL. CINECA IRIS Institutial Research Information System (University of Genoa). 377–381. 13 indexed citations
19.
Giunchiglia, Enrico, Marco Maratea, & Yuliya Lierler. (2004). A SAT-Based Polynomial Space Algorithm for Answer Set Programming. CINECA IRIS Institutial Research Information System (University of Genoa). 189–196. 1 indexed citations
20.
Giunchiglia, Enrico, Yuliya Lierler, & Marco Maratea. (2004). SAT-based answer set programming. CINECA IRIS Institutial Research Information System (University of Genoa). 61–66. 32 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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