Luca Foschini

1.3k total citations
28 papers, 696 citations indexed

About

Luca Foschini is a scholar working on Epidemiology, General Health Professions and Artificial Intelligence. According to data from OpenAlex, Luca Foschini has authored 28 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in General Health Professions and 6 papers in Artificial Intelligence. Recurrent topics in Luca Foschini's work include Influenza Virus Research Studies (6 papers), COVID-19 epidemiological studies (6 papers) and Respiratory viral infections research (5 papers). Luca Foschini is often cited by papers focused on Influenza Virus Research Studies (6 papers), COVID-19 epidemiological studies (6 papers) and Respiratory viral infections research (5 papers). Luca Foschini collaborates with scholars based in United States, United Kingdom and Canada. Luca Foschini's co-authors include Rajesh Ranganath, Nikki Marinsek, Marzyeh Ghassemi, Matthew B. A. McDermott, Shirly Wang, Larry A. Chinitz, Yuxuan Hu, Lior Jankelson, Shinjini Kundu and Roxanne E. Jensen and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Diabetes.

In The Last Decade

Luca Foschini

27 papers receiving 674 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 Foschini United States 12 208 160 95 89 76 28 696
Bilal A. Mateen United Kingdom 14 137 0.7× 162 1.0× 111 1.2× 46 0.5× 122 1.6× 42 905
Raffaele Rasoini Italy 5 221 1.1× 249 1.6× 162 1.7× 99 1.1× 72 0.9× 8 715
Ilse Kant Netherlands 16 168 0.8× 196 1.2× 152 1.6× 76 0.9× 77 1.0× 32 819
Yiye Zhang United States 15 183 0.9× 91 0.6× 55 0.6× 122 1.4× 96 1.3× 67 983
Fred Hersch Australia 10 143 0.7× 132 0.8× 158 1.7× 33 0.4× 34 0.4× 16 562
Barbara Barry United States 17 185 0.9× 245 1.5× 77 0.8× 76 0.9× 106 1.4× 53 1.2k
Sonoo Thadaney-Israni United States 5 228 1.1× 304 1.9× 128 1.3× 33 0.4× 54 0.7× 6 640
Monika Pathania India 10 195 0.9× 358 2.2× 275 2.9× 58 0.7× 76 1.0× 82 1.1k
Anthony Solomonides United States 12 73 0.4× 82 0.5× 50 0.5× 102 1.1× 54 0.7× 46 610
Sanjeev P. Bhavnani United States 15 186 0.9× 89 0.6× 78 0.8× 300 3.4× 69 0.9× 53 985

Countries citing papers authored by Luca Foschini

Since Specialization
Citations

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

Fields of papers citing papers by Luca Foschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Foschini

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Foschini. A scholar is included among the top collaborators of Luca Foschini 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 Foschini. Luca Foschini 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.
2.
Myles, Puja, et al.. (2024). High-fidelity synthetic patient data applications and privacy considerations. 6(4). 344–344. 1 indexed citations
3.
Shapiro, Allison, et al.. (2023). Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study. Journal of Medical Internet Research. 25. e41050–e41050. 3 indexed citations
4.
Mezlini, Aziz M., Eamon Caddigan, Allison Shapiro, et al.. (2023). Precision recruitment for high-risk participants in a COVID-19 cohort study. Contemporary Clinical Trials Communications. 33. 101113–101113.
5.
Nestor, Bret, Allison Shapiro, Sujay Nagaraj, et al.. (2023). Machine learning COVID-19 detection from wearables. The Lancet Digital Health. 5(4). e182–e184. 10 indexed citations
6.
Nagaraj, Sujay, Sarah Goodday, Thomas Hartvigsen, et al.. (2023). Dissecting the heterogeneity of “in the wild” stress from multimodal sensor data. npj Digital Medicine. 6(1). 237–237. 5 indexed citations
7.
Signorini, Alessio, Cody Karjadi, Tuka Alhanai, et al.. (2022). Cognitive Digital Biomarkers from Automated Transcription of Spoken Language. The Journal of Prevention of Alzheimer s Disease. 9(4). 791–800. 16 indexed citations
8.
Clay, Ieuan, Francesca Cormack, Szymon Fedor, et al.. (2022). Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint. Journal of Medical Internet Research. 24(5). e35951–e35951. 5 indexed citations
9.
Goodday, Sarah, Daniel R. Karlin, Luca Foschini, et al.. (2022). Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum. npj Digital Medicine. 5(1). 40–40. 8 indexed citations
10.
McDermott, Matthew B. A., Shirly Wang, Nikki Marinsek, et al.. (2021). Reproducibility in machine learning for health research: Still a ways to go. Science Translational Medicine. 13(586). 151 indexed citations
11.
12.
Hu, Yuxuan, et al.. (2020). Deep learning models for electrocardiograms are susceptible to adversarial attack. Nature Medicine. 26(3). 360–363. 90 indexed citations
13.
Cutillo, Christine M., Karlie R. Sharma, Luca Foschini, et al.. (2020). Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency. npj Digital Medicine. 3(1). 47–47. 197 indexed citations
14.
Karas, Marta, et al.. (2020). Predicting Subjective Recovery from Lower Limb Surgery Using Consumer Wearables. SHILAP Revista de lepidopterología. 4(Suppl. 1). 73–86. 15 indexed citations
15.
McDermott, Matthew B. A., Shirly Wang, Nikki Marinsek, et al.. (2019). Reproducibility in Machine Learning for Health. International Conference on Learning Representations. 3 indexed citations
16.
Konty, Kevin, et al.. (2019). Large-scale influenza vaccination promotion on a mobile app platform: A randomized controlled trial. Vaccine. 38(18). 3508–3514. 17 indexed citations
17.
Grade, Madeline, et al.. (2019). Accelerating Research With Technology: Rapid Recruitment for a Large-Scale Web-Based Sleep Study. JMIR Research Protocols. 8(1). e10974–e10974. 13 indexed citations
18.
Konty, Kevin, et al.. (2019). Influenza Surveillance Using Wearable Mobile Health Devices. Online Journal of Public Health Informatics. 11(1). 12 indexed citations
19.
Foschini, Luca, et al.. (2019). The Association Between Medication Adherence for Chronic Conditions and Digital Health Activity Tracking: Retrospective Analysis. Journal of Medical Internet Research. 21(3). e11486–e11486. 26 indexed citations
20.

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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