Luca Bonomi

838 total citations
29 papers, 490 citations indexed

About

Luca Bonomi is a scholar working on Artificial Intelligence, Information Systems and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Luca Bonomi has authored 29 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Luca Bonomi's work include Privacy-Preserving Technologies in Data (20 papers), Ethics in Clinical Research (6 papers) and Cryptography and Data Security (6 papers). Luca Bonomi is often cited by papers focused on Privacy-Preserving Technologies in Data (20 papers), Ethics in Clinical Research (6 papers) and Cryptography and Data Security (6 papers). Luca Bonomi collaborates with scholars based in United States, Canada and Switzerland. Luca Bonomi's co-authors include Lucila Ohno‐Machado, Li Xiong, Yingxiang Huang, Liyue Fan, Xiaoqian Jiang, Shuang Wang, Vaidy Sunderam, Wenrui Dai, Rebecca A. Marmor and Siddharth Singh and has published in prestigious journals such as Nature Genetics, Annals of the New York Academy of Sciences and Clinical Chemistry.

In The Last Decade

Luca Bonomi

27 papers receiving 482 citations

Peers

Luca Bonomi

AI

PHEOH

IS

SPS

MB

Jean Louis Raisaro Switzerland

Zhanglong Ji United States

Zhiyu Wan United States

Raffael Bild Germany

Md Momin Al Aziz Canada

Jill Muehling United States

João Sá Sousa Portugal

Martin Lablans Germany

Anca Bucur Netherlands

Jean Louis Raisaro Switzerland

Luca Bonomi

467 ×1.6

AI

181 ×1.9

PHEOH

124 ×1.7

IS

59 ×0.8

SPS

77 ×1.4

MB

Citations per year, relative to Luca Bonomi Luca Bonomi (= 1×) peers Jean Louis Raisaro

Countries citing papers authored by Luca Bonomi

Since Specialization

Citations

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

Fields of papers citing papers by Luca Bonomi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Bonomi

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

1.

Myers, Candace T., Runjun D. Kumar, Lisa Pilgram, et al.. (2025). Genomic Data and Privacy. Clinical Chemistry. 71(1). 10–17. 1 indexed citations

2.

Bonomi, Luca, et al.. (2023). Enabling Health Data Sharing with Fine-Grained Privacy. PubMed. 2023. 131–141. 4 indexed citations

3.

Bonomi, Luca, et al.. (2022). Sharing personal ECG time-series data privately. Journal of the American Medical Informatics Association. 29(7). 1152–1160. 3 indexed citations

4.

Bonomi, Luca & Liyue Fan. (2022). Sharing Time-to-Event Data with Privacy Protection. PubMed. 2022. 11–20. 3 indexed citations

5.

Bonomi, Luca, et al.. (2022). Mitigating Membership Inference in Deep Learning Applications with High Dimensional Genomic Data. PubMed. 2022. 1–3. 1 indexed citations

6.

Baxter, Sally L., Bharanidharan Radha Saseendrakumar, Paulina Paul, et al.. (2021). Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal of Ophthalmology. 227. 74–86. 38 indexed citations

7.

Bonomi, Luca, Liyue Fan, & Xiaoqian Jiang. (2020). Noise-tolerant similarity search in temporal medical data. Journal of Biomedical Informatics. 113. 103667–103667. 5 indexed citations

8.

Bonomi, Luca, Yingxiang Huang, & Lucila Ohno‐Machado. (2020). Privacy challenges and research opportunities for genomic data sharing. Nature Genetics. 52(7). 646–654. 137 indexed citations

9.

Fan, Liyue & Luca Bonomi. (2018). Time Series Sanitization with Metric-Based Privacy. 8 indexed citations

10.

Fan, Liyue, Luca Bonomi, Cyrus Shahabi, & Li Xiong. (2018). Optimal group route query: Finding itinerary for group of users in spatial databases. GeoInformatica. 22(4). 845–867. 7 indexed citations

11.

Bonomi, Luca & Xiaoqian Jiang. (2017). Patient ranking with temporally annotated data. Journal of Biomedical Informatics. 78. 43–53. 5 indexed citations

12.

Bonomi, Luca & Xiaoqian Jiang. (2017). A Mortality Study for ICU Patients Using Bursty Medical Events. PubMed. 15. 1533–1540. 4 indexed citations

13.

Bonomi, Luca & Xiaoqian Jiang. (2017). Linking temporal medical records using non-protected health information data. Statistical Methods in Medical Research. 27(11). 3304–3324. 3 indexed citations

14.

Wang, Shuang, Luca Bonomi, Wenrui Dai, et al.. (2016). Big Data Privacy in Biomedical Research. IEEE Transactions on Big Data. 6(2). 296–308. 31 indexed citations

15.

Bonomi, Luca & Li Xiong. (2016). On Differentially Private Longest Increasing Subsequence Computation in Data Stream. 9(1). 73–100. 7 indexed citations

16.

Bonomi, Luca, Liyue Fan, & Hongxia Jin. (2016). An Information-Theoretic Approach to Individual Sequential Data Sanitization. 337–346. 9 indexed citations

17.

Wang, Shuang, Xiaoqian Jiang, Siddharth Singh, et al.. (2016). Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Annals of the New York Academy of Sciences. 1387(1). 73–83. 47 indexed citations

18.

Fan, Liyue, Luca Bonomi, Li Xiong, & Vaidy Sunderam. (2014). Monitoring web browsing behavior with differential privacy. 177–188. 41 indexed citations

19.

Bonomi, Luca, Li Xiong, & James Lu. (2013). LinkIT. 1029–1032. 7 indexed citations

20.

Bonomi, Luca, Li Xiong, Rui Chen, & Benjamin C. M. Fung. (2012). Frequent grams based embedding for privacy preserving record linkage. 1597–1601. 24 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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