Noemi Scarpato

966 total citations
25 papers, 610 citations indexed

About

Noemi Scarpato is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Noemi Scarpato has authored 25 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Noemi Scarpato's work include Semantic Web and Ontologies (6 papers), Service-Oriented Architecture and Web Services (5 papers) and Topic Modeling (3 papers). Noemi Scarpato is often cited by papers focused on Semantic Web and Ontologies (6 papers), Service-Oriented Architecture and Web Services (5 papers) and Topic Modeling (3 papers). Noemi Scarpato collaborates with scholars based in Italy, United Kingdom and Romania. Noemi Scarpato's co-authors include Alessandra Pieroni, Fabio Massimo Zanzotto, Patrizia Ferroni, Francesca Fallucchi, Luca Di Nunzio, Silvia Riondino, Mario Roselli, Fiorella Guadagni, Fiorella Guadagni and Umberto Nanni and has published in prestigious journals such as International Journal of Molecular Sciences, Annals of Oncology and Expert Systems with Applications.

In The Last Decade

Noemi Scarpato

22 papers receiving 575 citations

Peers

Noemi Scarpato

CNC

RNMI

Angela Locoro Italy

Fabio Massimo Zanzotto Italy

Yunkai Zhai China

Xiaoying Yang China

Hui Shi China

Georg Großmann Australia

Nikita Singh India

Jinan Fiaidhi Canada

Hamid Mcheick Canada

Mana Saleh Al Reshan Saudi Arabia

Angela Locoro Italy

Noemi Scarpato

127 ×0.7

270 ×1.6

47 ×0.4

CNC

28 ×0.3

RNMI

5 ×0.1

Citations per year, relative to Noemi Scarpato Noemi Scarpato (= 1×) peers Angela Locoro

Countries citing papers authored by Noemi Scarpato

Since Specialization

Citations

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

Fields of papers citing papers by Noemi Scarpato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noemi Scarpato

This figure shows the co-authorship network connecting the top 25 collaborators of Noemi Scarpato. A scholar is included among the top collaborators of Noemi Scarpato 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 Noemi Scarpato. Noemi Scarpato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Scarpato, Noemi, Silvia Riondino, Mario Roselli, et al.. (2024). Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients. Expert Systems with Applications. 256. 124859–124859.

Scarpato, Noemi, Patrizia Ferroni, & Fiorella Guadagni. (2024). XAI Unveiled: Revealing the Potential of Explainable AI in Medicine - A Systematic Review. IEEE Access. 1–1. 1 indexed citations

Scarpato, Noemi, Patrizia Ferroni, Silvia Riondino, et al.. (2024). Evaluating Explainable Machine Learning Models for Clinicians. Cognitive Computation. 16(4). 1436–1446. 7 indexed citations

Scarpato, Noemi, Alessandra Pieroni, & Michela Montorsi. (2021). SPUCL (Scientific Publication Classifier): A Human-Readable Labelling System for Scientific Publications. Applied Sciences. 11(19). 9154–9154. 1 indexed citations

Banegas‐Luna, Antonio Jesús, Jorge Peña‐García, Adrian Iftene, et al.. (2021). Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey. International Journal of Molecular Sciences. 22(9). 4394–4394. 43 indexed citations

Pieroni, Alessandra, et al.. (2021). Predictive Modeling Applied to Structured Clinical Data Extracted from Electronic Health Records: An Architectural Hypothesis and A First Experiment. Journal of Computer Science. 17(9). 762–775. 1 indexed citations

Pieroni, Alessandra, et al.. (2020). Blockchain and IoT Convergence—A Systematic Survey on Technologies, Protocols and Security. Applied Sciences. 10(19). 6749–6749. 28 indexed citations

Ferroni, Patrizia, Fabio Massimo Zanzotto, Noemi Scarpato, et al.. (2020). Machine learning approach to predict medication overuse in migraine patients. Computational and Structural Biotechnology Journal. 18. 1487–1496. 40 indexed citations

Ferroni, Patrizia, Fabio Massimo Zanzotto, Silvia Riondino, et al.. (2019). Breast Cancer Prognosis Using a Machine Learning Approach. Cancers. 11(3). 328–328. 121 indexed citations

10.

Pieroni, Alessandra, et al.. (2018). Affective agile design a proposal for a new software development model. 96(1). 68–79. 4 indexed citations

11.

Pieroni, Alessandra, et al.. (2018). Industry 4.0 revolution in autonomous and connected vehicle a non-conventional approach to manage big data. 96(1). 10–18. 19 indexed citations

12.

Ferroni, Patrizia, Fabio Massimo Zanzotto, Noemi Scarpato, et al.. (2017). Random optimization interactive system based on Kernel learning (RISK) for venous thromboembolism risk assessment in chemotherapy-treated cancer patients. Annals of Oncology. 28. v552–v552. 1 indexed citations

13.

Scarpato, Noemi, Alessandra Pieroni, Luca Di Nunzio, & Francesca Fallucchi. (2017). E-health-IoT Universe: A Review. International Journal on Advanced Science Engineering and Information Technology. 7(6). 2328–2328. 57 indexed citations

14.

Ferroni, Patrizia, Fabio Massimo Zanzotto, Noemi Scarpato, et al.. (2017). Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology. Disease Markers. 2017. 1–7. 50 indexed citations

15.

Cilia, Nicole Dalia, Noemi Scarpato, & Marco Romano. (2015). A Semantic Approach to Reachability Matrix Computation. IRIS Research product catalog (Sapienza University of Rome). 91–94. 2 indexed citations

16.

Pazienza, Maria Teresa, et al.. (2012). Semantic Turkey: A browser-integrated environment for knowledge acquisition and management. Semantic Web. 3(3). 279–292. 15 indexed citations

17.

Stellato, Armando, et al.. (2010). MASKKOT: A Tool for Annotating Entities through the OKKAM Service. Cineca Institutional Research Information System (Tor Vergata University).

18.

Bianchi, Marco, et al.. (2009). ICT Tools for the Discovery of Semantic Relations in Legal Documents. 582. 33–40. 4 indexed citations

19.

Pazienza, Maria Teresa, et al.. (2008). Din din! The (Semantic) Turkey is served!. Cineca Institutional Research Information System (Tor Vergata University). 426. 4 indexed citations

20.

Fallucchi, Francesca, Maria Teresa Pazienza, Noemi Scarpato, & Armando Stellato. (2008). SEMANTIC TURKEY - A New Web Experience in between Ontology Editing and Semantic Annotation. 90–97.

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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