Luca Spalazzi

1.3k total citations
95 papers, 784 citations indexed

About

Luca Spalazzi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Luca Spalazzi has authored 95 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 35 papers in Computer Networks and Communications and 33 papers in Information Systems. Recurrent topics in Luca Spalazzi's work include Multi-Agent Systems and Negotiation (13 papers), Logic, Reasoning, and Knowledge (11 papers) and AI-based Problem Solving and Planning (11 papers). Luca Spalazzi is often cited by papers focused on Multi-Agent Systems and Negotiation (13 papers), Logic, Reasoning, and Knowledge (11 papers) and AI-based Problem Solving and Planning (11 papers). Luca Spalazzi collaborates with scholars based in Italy, Austria and France. Luca Spalazzi's co-authors include Marco D’Orazio, Gabriele Bernardini, Enrico Quagliarini, Lucia Pepa, Lucio Ciabattoni, Paolo Traverso, Marco Baldi, Alessandro Cucchiarelli, Maria Gabriella Ceravolo and Marianna Capecci and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Software Engineering.

In The Last Decade

Luca Spalazzi

81 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Spalazzi Italy 14 212 195 193 153 83 95 784
Farnoush Banaei‐Kashani United States 17 36 0.2× 102 0.5× 266 1.4× 111 0.7× 81 1.0× 85 790
Maria Riveiro Sweden 17 329 1.6× 370 1.9× 88 0.5× 36 0.2× 116 1.4× 64 1.2k
Widyawan Widyawan Indonesia 19 217 1.0× 363 1.9× 353 1.8× 168 1.1× 64 0.8× 108 1.4k
Nan Han China 16 64 0.3× 163 0.8× 88 0.5× 69 0.5× 198 2.4× 41 792
Chaocan Xiang China 18 149 0.7× 178 0.9× 307 1.6× 64 0.4× 159 1.9× 72 1.1k
Chih‐Chieh Hung Taiwan 13 41 0.2× 136 0.7× 179 0.9× 99 0.6× 218 2.6× 39 684
Umar Manzoor Pakistan 16 37 0.2× 303 1.6× 144 0.7× 138 0.9× 34 0.4× 74 778
Ana M. Bernardos Spain 19 144 0.7× 375 1.9× 298 1.5× 68 0.4× 64 0.8× 120 1.5k
Saira Gillani Pakistan 10 183 0.9× 322 1.7× 414 2.1× 384 2.5× 11 0.1× 26 1.1k
José R. Casar Spain 16 163 0.8× 147 0.8× 283 1.5× 45 0.3× 85 1.0× 92 1.1k

Countries citing papers authored by Luca Spalazzi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Spalazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Spalazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Spalazzi. A scholar is included among the top collaborators of Luca Spalazzi 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 Luca Spalazzi. Luca Spalazzi 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.
Morbidoni, Christian, Alessandro Cucchiarelli, & Luca Spalazzi. (2025). Mixed-Embeddings and Deep Learning Ensemble for DGA Classification With Limited Training Data. IEEE Access. 13. 81167–81187.
2.
Spalazzi, Luca, et al.. (2025). A systematic literature review on distributed ledger technologies in healthcare: Applications, challenges, and future directions. Information and Software Technology. 188. 107894–107894.
3.
Pepa, Lucia, Luca Spalazzi, Maria Gabriella Ceravolo, & Marianna Capecci. (2024). Supervised learning for automatic emotion recognition in Parkinson’s disease through smartwatch signals. Expert Systems with Applications. 249. 123474–123474. 4 indexed citations
4.
Pirani, Massimiliano, et al.. (2024). The Meta Holonic Management Tree: review, steps, and roadmap to industrial Cybernetics 5.0. Journal of Intelligent Manufacturing. 36(8). 5285–5326. 2 indexed citations
5.
Pepa, Lucia, Luca Spalazzi, Marianna Capecci, & Maria Gabriella Ceravolo. (2021). Automatic Emotion Recognition in Clinical Scenario: A Systematic Review of Methods. IEEE Transactions on Affective Computing. 14(2). 1675–1695. 21 indexed citations
6.
Pepa, Lucia, Marianna Capecci, Elisa Andrenelli, et al.. (2020). A fuzzy logic system for the home assessment of freezing of gait in subjects with Parkinsons disease. Expert Systems with Applications. 147. 113197–113197. 23 indexed citations
7.
Pepa, Lucia, Elisa Andrenelli, Lucio Ciabattoni, et al.. (2018). Reliability of a smartphone-based home monitoring of freezing of gait in subjects with Parkinson's disease. Annals of Physical and Rehabilitation Medicine. 61. e437–e438. 1 indexed citations
8.
Spalazzi, Luca, et al.. (2013). PKS: An Ontology-based Learning Construct for Lifelong Learners. Università Politecnica delle Marche (Università Politecnica delle Marche). 10 indexed citations
9.
Spalazzi, Luca, et al.. (2013). Reasoning with Temporal ABoxes: Combining DL-Lite_core with CTL.. Università Politecnica delle Marche (Università Politecnica delle Marche). 885–897. 3 indexed citations
10.
Spalazzi, Luca, et al.. (2012). Application of SWSAL in Semantic Annotation of RESTful Web Services. Università Politecnica delle Marche (Università Politecnica delle Marche). 915. 11–18. 1 indexed citations
11.
Spalazzi, Luca, et al.. (2010). Semantic Model Checking Security Requirements for Web Services (Extended Abstract).. SEBD. 190–197.
12.
Spalazzi, Luca, et al.. (2010). Semantic model checking security requirements for web services. 283–290. 4 indexed citations
13.
Pistore, Marco, et al.. (2007). Web Service Discovery at Process-level Based on Semantic Annotation.. SEBD. 125(Pt A). 220–232. 1 indexed citations
14.
Penserini, Loris, et al.. (2004). Socially-based design meets agent capabilities. IEEE/WIC/ACM International Conference on Intelligent Agent Technology. 72–78. 3 indexed citations
15.
Spalazzi, Luca, et al.. (2003). Automatic verification of security in payment protocols for electronic commerce. Università Politecnica delle Marche (Università Politecnica delle Marche). 276–282. 10 indexed citations
16.
Penserini, Loris, et al.. (2003). Cooperation strategies for agent-based P2P systems. Università Politecnica delle Marche (Università Politecnica delle Marche). 1(1). 3–21. 15 indexed citations
17.
Spalazzi, Luca, et al.. (2001). A distributed case-based query rewriting. Università Politecnica delle Marche (Università Politecnica delle Marche). 1005–1010. 2 indexed citations
18.
Spalazzi, Luca, et al.. (2000). A Case-Based Approach to Information Integration. Università Politecnica delle Marche (Università Politecnica delle Marche). 557–565. 3 indexed citations
19.
Giunchiglia, Fausto & Luca Spalazzi. (1999). Intelligent planning: A decomposition and abstraction based approach to classical planning. Artificial Intelligence. 111(1-2). 329–338. 6 indexed citations
20.
Traverso, Paolo, Alessandro Cimatti, & Luca Spalazzi. (1992). Beyond the single planning paradigm: introspective planning. European Conference on Artificial Intelligence. 643–647. 10 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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