Eugenio Di Sciascio

5.1k total citations
254 papers, 2.5k citations indexed

About

Eugenio Di Sciascio is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Eugenio Di Sciascio has authored 254 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Artificial Intelligence, 114 papers in Information Systems and 87 papers in Computer Networks and Communications. Recurrent topics in Eugenio Di Sciascio's work include Semantic Web and Ontologies (94 papers), Service-Oriented Architecture and Web Services (72 papers) and Advanced Database Systems and Queries (32 papers). Eugenio Di Sciascio is often cited by papers focused on Semantic Web and Ontologies (94 papers), Service-Oriented Architecture and Web Services (72 papers) and Advanced Database Systems and Queries (32 papers). Eugenio Di Sciascio collaborates with scholars based in Italy, Mexico and United States. Eugenio Di Sciascio's co-authors include Tommaso Di Noia, Francesco M. Donini, Michèle Ruta, Marina Mongiello, Floriano Scioscia, Vito Claudio Ostuni, Simona Colucci, Paolo Tomeo, Giuseppe Loseto and Saverio Ieva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Eugenio Di Sciascio

231 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugenio Di Sciascio Italy 27 1.3k 1.2k 702 522 213 254 2.5k
Lei Li China 24 1.0k 0.8× 784 0.7× 585 0.8× 293 0.6× 230 1.1× 237 2.3k
Tommaso Di Noia Italy 30 1.7k 1.4× 1.6k 1.3× 548 0.8× 446 0.9× 198 0.9× 222 2.8k
Zheng Li China 25 779 0.6× 885 0.7× 770 1.1× 249 0.5× 203 1.0× 209 2.4k
Xianzhi Wang Australia 27 1.3k 1.0× 913 0.8× 615 0.9× 657 1.3× 249 1.2× 161 3.0k
Zhiqi Shen Singapore 26 1.2k 0.9× 676 0.6× 686 1.0× 303 0.6× 83 0.4× 169 2.7k
Giovanni Acampora Italy 27 1.3k 1.1× 448 0.4× 475 0.7× 557 1.1× 198 0.9× 177 2.5k
Zhiyong Feng China 23 1.0k 0.8× 811 0.7× 546 0.8× 415 0.8× 273 1.3× 263 2.3k
Christian Esposito Italy 29 897 0.7× 1.6k 1.4× 1.6k 2.2× 388 0.7× 277 1.3× 149 3.3k
Chang-Shing Lee Taiwan 26 1.5k 1.2× 766 0.6× 237 0.3× 398 0.8× 265 1.2× 135 2.5k
Tommi Mikkonen Finland 28 883 0.7× 1.5k 1.3× 1.0k 1.5× 278 0.5× 183 0.9× 290 3.1k

Countries citing papers authored by Eugenio Di Sciascio

Since Specialization
Citations

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

Fields of papers citing papers by Eugenio Di Sciascio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugenio Di Sciascio. 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 Eugenio Di Sciascio. The network helps show where Eugenio Di Sciascio may publish in the future.

Co-authorship network of co-authors of Eugenio Di Sciascio

This figure shows the co-authorship network connecting the top 25 collaborators of Eugenio Di Sciascio. A scholar is included among the top collaborators of Eugenio Di Sciascio 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 Eugenio Di Sciascio. Eugenio Di Sciascio 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.
Sorino, Paolo, Caterina Bonfiglio, Rossella Donghia, et al.. (2025). MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects. SHILAP Revista de lepidopterología. 7. 100176–100176.
2.
Sciascio, Eugenio Di, et al.. (2024). A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders. Journal of Intelligent Information Systems. 62(3). 787–807. 3 indexed citations
3.
Merra, Felice Antonio, et al.. (2024). Formalizing Multimedia Recommendation through Multimodal Deep Learning. 3(3). 1–33. 7 indexed citations
4.
Fasano, Giancarmine, et al.. (2024). Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines. Brain Informatics. 11(1). 33–33. 2 indexed citations
5.
Colucci, Simona, Francesco M. Donini, & Eugenio Di Sciascio. (2024). A review of reasoning characteristics of RDF‐based Semantic Web systems. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 14(4). 1 indexed citations
6.
Lombardi, Angela, et al.. (2024). Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis. 627–634. 1 indexed citations
7.
Deldjoo, Yashar, et al.. (2024). Interactive Question Answering Systems: Literature Review. ACM Computing Surveys. 56(9). 1–38. 13 indexed citations
8.
Ieva, Saverio, et al.. (2024). Serverless Microservice Architecture for Cloud-Edge Intelligence in Sensor Networks. IEEE Sensors Journal. 25(5). 7875–7885. 3 indexed citations
9.
Lombardi, Angela, Paolo Sorino, Elvira Brattico, et al.. (2024). NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. IEEE Access. 12. 159296–159315. 2 indexed citations
10.
Lombardi, Angela, Francesca Arezzo, Eugenio Di Sciascio, et al.. (2023). A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis. Artificial Intelligence in Medicine. 146. 102697–102697. 9 indexed citations
11.
Brunetti, Giuseppe, et al.. (2023). Orbital kinematics of conjuncting objects in Low-Earth Orbit and opportunities for autonomous observations. Acta Astronautica. 208. 355–366. 6 indexed citations
12.
Ardito, Carmelo, et al.. (2022). Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling. Expert Systems with Applications. 210. 118368–118368. 18 indexed citations
13.
Bortone, Ilaria, Francesco Bottiglione, Tommaso Di Noia, et al.. (2022). Combining Biomechanical Features and Machine Learning Approaches to Identify Fencers’ Levels for Training Support. Applied Sciences. 12(23). 12350–12350. 8 indexed citations
14.
Anelli, Vito Walter, Yashar Deldjoo, Tommaso Di Noia, et al.. (2020). Knowledge-enhanced Shilling Attacks for Recommendation.. SEBD. 310–317. 1 indexed citations
15.
Ruta, Michèle, et al.. (2018). A Knowledge Fusion Approach for Context Awareness in Vehicular Networks. IEEE Internet of Things Journal. 5(4). 2407–2419. 29 indexed citations
16.
Ruta, Michèle, et al.. (2017). Semantic Blockchain to Improve Scalability in the Internet of Things. The Internet of Things. 3(1). 46–61. 45 indexed citations
17.
Noia, Tommaso Di, Marina Mongiello, Francesco Nocera, & Eugenio Di Sciascio. (2016). Ontology-based Reflective Iot Middleware-Enabled Agriculture Decision Support System.. 6 indexed citations
18.
Sciascio, Eugenio Di & Augusto Celentano. (2015). Similarity evaluation in image retrieval using the Hough transform. Computer and Information Technology. 4(3). 199–204.
19.
Noia, Tommaso Di, Marina Mongiello, & Eugenio Di Sciascio. (2014). A Computational Model for Mapreduce Job Flow.. 335–340. 1 indexed citations
20.
Colucci, Simona, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, & Azzurra Ragone. (2007). Semantic-based Skill Management for Automated Task Assignment and Courseware Composition. UnitusOpen (Tuscia University). 13 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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