Enrico Scala

634 total citations
47 papers, 248 citations indexed

About

Enrico Scala is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Enrico Scala has authored 47 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 9 papers in Software. Recurrent topics in Enrico Scala's work include AI-based Problem Solving and Planning (35 papers), Logic, Reasoning, and Knowledge (27 papers) and Model-Driven Software Engineering Techniques (8 papers). Enrico Scala is often cited by papers focused on AI-based Problem Solving and Planning (35 papers), Logic, Reasoning, and Knowledge (27 papers) and Model-Driven Software Engineering Techniques (8 papers). Enrico Scala collaborates with scholars based in Italy, United Kingdom and Australia. Enrico Scala's co-authors include Patrik Haslum, Sylvie Thiébaux, Miquel Ramírez, Mauro Vallati, Alban Grastien, Pietro Torasso, Daniele Magazzeni, Alfonso Gerevini, Sergiy Bogomolov and Dongxu Li and has published in prestigious journals such as Artificial Intelligence, Journal of Artificial Intelligence Research and AI Magazine.

In The Last Decade

Enrico Scala

42 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enrico Scala Italy 9 191 41 41 33 32 47 248
Felipe Trevizan Australia 9 148 0.8× 43 1.0× 11 0.3× 38 1.2× 34 1.1× 25 198
Michael Cashmore United Kingdom 11 193 1.0× 94 2.3× 22 0.5× 46 1.4× 31 1.0× 21 279
Husain Aljazzar Germany 7 45 0.2× 12 0.3× 85 2.1× 51 1.5× 93 2.9× 10 218
Mikio Takeuchi Japan 10 88 0.5× 11 0.3× 29 0.7× 172 5.2× 20 0.6× 33 314
Emin Erkan Korkmaz Türkiye 6 157 0.8× 21 0.5× 5 0.1× 41 1.2× 73 2.3× 24 277
Ben Strasser Germany 8 47 0.2× 54 1.3× 8 0.2× 47 1.4× 17 0.5× 24 174
Douglas Aberdeen Australia 10 196 1.0× 29 0.7× 11 0.3× 48 1.5× 44 1.4× 17 250
Sung-Do Chi South Korea 8 45 0.2× 11 0.3× 18 0.4× 94 2.8× 17 0.5× 43 224
Michele Sevegnani United Kingdom 8 60 0.3× 13 0.3× 40 1.0× 60 1.8× 55 1.7× 28 171
Jak Kirman United States 5 239 1.3× 55 1.3× 16 0.4× 60 1.8× 59 1.8× 6 293

Countries citing papers authored by Enrico Scala

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Scala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Scala

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Scala. A scholar is included among the top collaborators of Enrico Scala 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 Enrico Scala. Enrico Scala 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.
Alford, Ron, Gregor Behnke, Daniel Fišer, et al.. (2024). The 2023 International Planning Competition. AI Magazine. 45(2). 280–296. 1 indexed citations
2.
Micheli, Andrea, Gabriele Röger, Enrico Scala, et al.. (2024). Unified Planning: Modeling, manipulating and solving AI planning problems in Python. SoftwareX. 29. 102012–102012. 2 indexed citations
3.
Scala, Enrico, et al.. (2023). A Practical Approach to Discretised PDDL+ Problems by Translation to Numeric Planning. Journal of Artificial Intelligence Research. 76. 115–162. 5 indexed citations
4.
Scala, Enrico, et al.. (2023). Fixing Plans for PDDL+ Problems: Theoretical and Practical Implications. Proceedings of the International Conference on Automated Planning and Scheduling. 33(1). 324–333. 1 indexed citations
5.
Scala, Enrico, et al.. (2023). On the Compilability of Bounded Numeric Planning. 5341–5349. 3 indexed citations
6.
Giacomo, Giuseppe De, et al.. (2023). Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic. Proceedings of the International Conference on Automated Planning and Scheduling. 33(1). 61–69. 2 indexed citations
7.
Scala, Enrico, et al.. (2022). On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt. Institutional Research Information System (Università degli Studi di Brescia). 387–397. 6 indexed citations
8.
Scala, Enrico, et al.. (2022). The Power of Reformulation: From Validation to Planning in PDDL+. Proceedings of the International Conference on Automated Planning and Scheduling. 32. 288–296. 2 indexed citations
9.
Vallati, Mauro, Enrico Scala, & Lukáš Chrpa. (2021). A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles. Huddersfield Research Portal (University of Huddersfield). 3821–3826. 6 indexed citations
10.
Gerevini, Alfonso, et al.. (2021). On Planning with Qualitative State-Trajectory Constraints in PDDL3 by Compiling them Away. Proceedings of the International Conference on Automated Planning and Scheduling. 31. 46–50. 5 indexed citations
11.
Scala, Enrico & Alban Grastien. (2021). Non-Deterministic Conformant Planning Using a Counterexample-Guided Incremental Compilation to Classical Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 31. 299–307.
12.
Scala, Enrico, et al.. (2020). An AI-Based Planning Framework for HAPS in a Time-Varying Environment. Proceedings of the International Conference on Automated Planning and Scheduling. 30. 412–420. 4 indexed citations
13.
Scala, Enrico, Patrik Haslum, Sylvie Thiébaux, & Miquel Ramírez. (2020). Subgoaling Techniques for Satisficing and Optimal Numeric Planning. Journal of Artificial Intelligence Research. 68. 691–752. 19 indexed citations
14.
Ramírez, Miquel, Nir Lipovetzky, Tim Miller, et al.. (2018). Integrated Hybrid Planning and Programmed Control for Real Time UAV Maneuvering. Institutional Research Information System (Università degli Studi di Brescia). 1318–1326. 19 indexed citations
15.
Grastien, Alban & Enrico Scala. (2018). Sampling Strategies for Conformant Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 28. 97–105. 3 indexed citations
16.
Scala, Enrico, Patrik Haslum, & Sylvie Thiébaux. (2016). Heuristics for numeric planning via subgoaling. ANU Open Research (Australian National University). 3228–3234. 24 indexed citations
17.
Scala, Enrico & Pietro Torasso. (2015). Deordering and numeric macro actions for plan repair. Institutional Research Information System University of Turin (University of Turin). 1673–1681. 10 indexed citations
18.
Micalizio, Roberto, et al.. (2012). Towards Robust Execution of Mission Plans for Planetary Rovers. Institutional Research Information System University of Turin (University of Turin). 5. 53–63. 1 indexed citations
19.
Micalizio, Roberto, et al.. (2010). Communication Scheduling and Plan Revision For Planetary Rovers. Institutional Research Information System (Università degli Studi di Brescia). 1–8. 1 indexed citations
20.
Carlone, Luca, et al.. (2010). STEPS: PCS results on 1st working prototype. PORTO Publications Open Repository TOrino (Politecnico di Torino). 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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