Simona Carini

1.1k total citations
33 papers, 728 citations indexed

About

Simona Carini is a scholar working on Molecular Biology, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Simona Carini has authored 33 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Artificial Intelligence and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Simona Carini's work include Biomedical Text Mining and Ontologies (17 papers), Meta-analysis and systematic reviews (12 papers) and Semantic Web and Ontologies (8 papers). Simona Carini is often cited by papers focused on Biomedical Text Mining and Ontologies (17 papers), Meta-analysis and systematic reviews (12 papers) and Semantic Web and Ontologies (8 papers). Simona Carini collaborates with scholars based in United States, Canada and Israel. Simona Carini's co-authors include Ida Sim, Samson W. Tu, Berry de Bruijn, J Cosbie Ross, Joel Martin, Svetlana Kiritchenko, Mor Peleg, Chunhua Weng, Daniel L. Rubin and Zhe He and has published in prestigious journals such as Journal of Clinical Epidemiology, Journal of Medical Internet Research and Scientific Data.

In The Last Decade

Simona Carini

32 papers receiving 702 citations

Peers

Simona Carini

SPU

PHEOH

HIM

Berry de Bruijn Canada

Louise Deléger France

Felix Köpcke Germany

Aurélie Névéol France

Megan Kaiser United States

Graciela Rosemblat United States

Tian Kang United States

François-Michel Lang United States

裕二池谷 United States

Charles N. Mead United States

Berry de Bruijn Canada

Simona Carini

627 ×1.4

563 ×1.6

103 ×0.6

SPU

27 ×0.2

PHEOH

27 ×0.3

HIM

Citations per year, relative to Simona Carini Simona Carini (= 1×) peers Berry de Bruijn

Countries citing papers authored by Simona Carini

Since Specialization

Citations

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

Fields of papers citing papers by Simona Carini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simona Carini

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

Gadgil, Meghana, et al.. (2025). Automating Individualized Notification of Drug Recalls to Patients: Complex Challenges and Qualitative Evaluation. JMIRx Med. 7. e68345–e68345. 2 indexed citations

Akre, Samir, Christopher J. Douglas, Adrián Aguilera, et al.. (2024). Advancing digital sensing in mental health research. npj Digital Medicine. 7(1). 362–362. 2 indexed citations

Liu, Hao, et al.. (2022). Ontology-based categorization of clinical studies by their conditions. Journal of Biomedical Informatics. 135. 104235–104235. 7 indexed citations

Clay, Ieuan, Simona Carini, Rodrigo Carvajal, et al.. (2021). Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices. Journal of Medical Internet Research. 23(11). e34493–e34493. 8 indexed citations

Shandhi, Md Mobashir Hasan, Jennifer C. Goldsack, Will Ke Wang, et al.. (2021). Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review. Journal of Medical Internet Research. 23(9). e29875–e29875. 8 indexed citations

Zeng, Billy, et al.. (2021). Standardized Integration of Person-Generated Data Into Routine Clinical Care. JMIR mhealth and uhealth. 10(2). e31048–e31048. 2 indexed citations

Kury, Fabrício S. P., Chi Yuan, Yingcheng Sun, et al.. (2020). Chia, a large annotated corpus of clinical trial eligibility criteria. Scientific Data. 7(1). 281–281. 26 indexed citations

Li, Tianjing, Ian J. Saldanha, Joseph K. Canner, et al.. (2019). A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviews. Journal of Clinical Epidemiology. 115. 77–89. 30 indexed citations

Hnat, Timothy, Syed Monowar Hossain, Nasir Ali, et al.. (2017). mCerebrum and Cerebral Cortex: A Real-time Collection, Analytic, and Intervention Platform for High-frequency Mobile Sensor Data.. AMIA. 4 indexed citations

10.

He, Zhe, Patrick Ryan, Shuang Wang, et al.. (2016). Multivariate analysis of the population representativeness of related clinical studies. Journal of Biomedical Informatics. 60. 66–76. 15 indexed citations

11.

Saldanha, Ian J., Christopher H. Schmid, Joseph Lau, et al.. (2016). Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trial. Systematic Reviews. 5(1). 196–196. 9 indexed citations

12.

He, Zhe, Simona Carini, Ida Sim, & Chunhua Weng. (2015). Visual aggregate analysis of eligibility features of clinical trials. Journal of Biomedical Informatics. 54. 241–255. 20 indexed citations

13.

Sim, Ida, Samson W. Tu, Simona Carini, et al.. (2013). The Ontology of Clinical Research (OCRe): An informatics foundation for the science of clinical research. Journal of Biomedical Informatics. 52. 78–91. 37 indexed citations

14.

Carini, Simona, et al.. (2013). Sponsorship and design characteristics of trials registered in ClinicalTrials.gov. Contemporary Clinical Trials. 34(2). 348–355. 19 indexed citations

15.

Boland, Mary Regina, Samson W. Tu, Simona Carini, Ida Sim, & Chunhua Weng. (2012). EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria.. PubMed. 2012. 71–80. 25 indexed citations

16.

Tu, Samson W., Mor Peleg, Simona Carini, et al.. (2010). A practical method for transforming free-text eligibility criteria into computable criteria. Journal of Biomedical Informatics. 44(2). 239–250. 103 indexed citations

17.

Kiritchenko, Svetlana, Berry de Bruijn, Simona Carini, Joel Martin, & Ida Sim. (2010). ExaCT: automatic extraction of clinical trial characteristics from journal publications. BMC Medical Informatics and Decision Making. 10(1). 56–56. 114 indexed citations

18.

Carini, Simona, et al.. (2008). An interactive tool for visualizing design heterogeneity in clinical trials.. PubMed. 298–302. 6 indexed citations

19.

Falconer, Sean M., et al.. (2008). Synchronized tag clouds for exploring semi-structured clinical trial data. 42–42. 13 indexed citations

20.

Sim, Ida, et al.. (2004). An ontology of randomized controlled trials for evidence-based practice: content specification and evaluation using the competency decomposition method. Journal of Biomedical Informatics. 37(2). 108–119. 39 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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