Enea Parimbelli

1.1k total citations
47 papers, 485 citations indexed

About

Enea Parimbelli is a scholar working on Artificial Intelligence, Health Information Management and General Health Professions. According to data from OpenAlex, Enea Parimbelli has authored 47 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Health Information Management and 8 papers in General Health Professions. Recurrent topics in Enea Parimbelli's work include Machine Learning in Healthcare (8 papers), Electronic Health Records Systems (8 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Enea Parimbelli is often cited by papers focused on Machine Learning in Healthcare (8 papers), Electronic Health Records Systems (8 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Enea Parimbelli collaborates with scholars based in Italy, Canada and United States. Enea Parimbelli's co-authors include Riccardo Bellazzi, Lucia Sacchi, Silvana Quaglini, Simone Marini, Mor Peleg, Szymon Wilk, Giordano Lanzola, Carlo Napolitano, Wojtek Michalowski and Eleonora Losiouk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Enea Parimbelli

43 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Enea Parimbelli Italy	12	140	89	88	85	62	47	485
Scott McLachlan United Kingdom	12	217 1.6×	105 1.2×	67 0.8×	95 1.1×	44 0.7×	30	583
Samina Abidi Canada	15	175 1.3×	106 1.2×	88 1.0×	78 0.9×	117 1.9×	60	544
Evan Sholle United States	15	135 1.0×	105 1.2×	52 0.6×	74 0.9×	56 0.9×	40	543
Luis Marco-Ruiz Norway	11	85 0.6×	141 1.6×	85 1.0×	122 1.4×	57 0.9×	27	487
Stephen B. Johnson United States	14	97 0.7×	162 1.8×	84 1.0×	153 1.8×	46 0.7×	46	614
Theresa A. Koleck United States	16	215 1.5×	86 1.0×	70 0.8×	136 1.6×	152 2.5×	41	898
Kudakwashe Dube New Zealand	9	206 1.5×	115 1.3×	54 0.6×	63 0.7×	53 0.9×	33	479
Emily Pfaff United States	15	82 0.6×	105 1.2×	66 0.8×	56 0.7×	66 1.1×	50	638
Danny T Y Wu United States	14	90 0.6×	93 1.0×	92 1.0×	137 1.6×	51 0.8×	51	480
Harpreet Sood United Kingdom	14	50 0.4×	86 1.0×	91 1.0×	106 1.2×	46 0.7×	27	457

Countries citing papers authored by Enea Parimbelli

Since Specialization

Citations

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

Fields of papers citing papers by Enea Parimbelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enea Parimbelli

This figure shows the co-authorship network connecting the top 25 collaborators of Enea Parimbelli. A scholar is included among the top collaborators of Enea Parimbelli 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 Enea Parimbelli. Enea Parimbelli 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

Cabitza, Federico, et al.. (2025). From Oracular to Judicial: Enhancing Clinical Decision Making through Contrasting Explanations and a Novel Interaction Protocol. BOA (University of Milano-Bicocca). 745–754. 1 indexed citations

Nicora, Giovanna, Riccardo Bellazzi, Francesco Salinaro, et al.. (2025). Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization. BMC Medical Informatics and Decision Making. 25(1). 269–269. 2 indexed citations

Parimbelli, Enea, et al.. (2023). A comparative analysis of the effects of containment policies on the epidemiological manifestation of the COVID-19 pandemic across nine European countries. Scientific Reports. 13(1). 11631–11631. 2 indexed citations

Redolfi, Alberto, et al.. (2023). Localizing in-domain adaptation of transformer-based biomedical language models. Journal of Biomedical Informatics. 144. 104431–104431. 14 indexed citations

Cabitza, Federico, et al.. (2023). Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting. SHILAP Revista de lepidopterología. 5(1). 269–286. 9 indexed citations

Fostinelli, Silvia, Enea Parimbelli, Federico Verde, et al.. (2023). Advancing Italian biomedical information extraction with transformers-based models: Methodological insights and multicenter practical application. Journal of Biomedical Informatics. 148. 104557–104557. 4 indexed citations

Flodin, Pär, Alma Sörberg Wallin, Paola Cerchiello, et al.. (2023). Differential impact of the COVID-19 pandemic on primary care utilization related to common mental disorders in four European countries: A retrospective observational study. Frontiers in Psychiatry. 13. 1045325–1045325. 1 indexed citations

Lanzola, Giordano, Enea Parimbelli, Ronald Cornet, et al.. (2023). The Case Manager: An Agent Controlling the Activation of Knowledge Sources in a FHIR-Based Distributed Reasoning Environment. Applied Clinical Informatics. 14(4). 725–734.

Parimbelli, Enea, et al.. (2022). Why did AI get this one wrong? — Tree-based explanations of machine learning model predictions. Artificial Intelligence in Medicine. 135. 102471–102471. 33 indexed citations

10.

Parimbelli, Enea, Cristiana Larizza, Cindy Cheng, et al.. (2022). A New Interactive Tool to Visualize and Analyze COVID-19 Data: The PERISCOPE Atlas. International Journal of Environmental Research and Public Health. 19(15). 9136–9136. 5 indexed citations

11.

Parimbelli, Enea, et al.. (2021). Quality of life and health-related utility after trans-oral surgery for head and neck cancers. Health and Quality of Life Outcomes. 19(1). 250–250. 3 indexed citations

12.

Michalowski, Martin, Szymon Wilk, Wojtek Michalowski, et al.. (2021). A Health eLearning Ontology and Procedural Reasoning Approach for Developing Personalized Courses to Teach Patients about Their Medical Condition and Treatment. International Journal of Environmental Research and Public Health. 18(14). 7355–7355. 7 indexed citations

13.

Parimbelli, Enea, Szymon Wilk, Ronald Cornet, et al.. (2021). A review of AI and Data Science support for cancer management. Artificial Intelligence in Medicine. 117. 102111–102111. 24 indexed citations

14.

Parimbelli, Enea, Szymon Wilk, Ronald Cornet, et al.. (2020). A Review of AI and Data Science Support for Cancer Management. medRxiv. 3 indexed citations

15.

Parimbelli, Enea, et al.. (2018). Integrating environmental data, citizen science and personalized predictive modeling to support public health in cities: The PULSE WebGIS. Archivo Digital UPM (Universidad Politécnica de Madrid). 1 indexed citations

16.

Peleg, Mor, Wojtek Michalowski, Szymon Wilk, et al.. (2018). Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management. Journal of Medical Systems. 42(11). 234–234. 16 indexed citations

17.

Parimbelli, Enea, Simone Marini, Lucia Sacchi, & Riccardo Bellazzi. (2018). Patient similarity for precision medicine: A systematic review. Journal of Biomedical Informatics. 83. 87–96. 101 indexed citations

18.

Parimbelli, Enea, et al.. (2017). Computer-Assessed Preference-Based Quality of Life in Patients with Spinal Cord Injury. BioMed Research International. 2017. 1–11. 6 indexed citations

19.

Parimbelli, Enea, Lucia Sacchi, & Riccardo Bellazzi. (2016). Decision Support through Data Integration: Strategies to Meet the Big Data Challenge. 12(1). 4 indexed citations

20.

Parimbelli, Enea, Silvana Quaglini, Carlo Napolitano, et al.. (2014). Use of patient generated data from social media and collaborative filtering for preferences elicitation in shared decision making. National Conference on Artificial Intelligence. 35–38. 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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