Jessica Gronsbell

927 total citations
25 papers, 423 citations indexed

About

Jessica Gronsbell is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Jessica Gronsbell has authored 25 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Artificial Intelligence and 5 papers in Oncology. Recurrent topics in Jessica Gronsbell's work include Biomedical Text Mining and Ontologies (8 papers), Machine Learning in Healthcare (7 papers) and COVID-19 and healthcare impacts (5 papers). Jessica Gronsbell is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Machine Learning in Healthcare (7 papers) and COVID-19 and healthcare impacts (5 papers). Jessica Gronsbell collaborates with scholars based in Canada, United States and China. Jessica Gronsbell's co-authors include Tianxi Cai, Karen Tu, Ellen Stephenson, Katherine P. Liao, Paul Varghese, Sheng Yu, Noah Crampton, Braden O’Neill, Debra A. Butt and Tianrun Cai and has published in prestigious journals such as Nature Genetics, PLoS ONE and Radiology.

In The Last Decade

Jessica Gronsbell

23 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica Gronsbell Canada 11 149 102 77 60 57 25 423
Sandra F. Jones United States 7 209 1.4× 122 1.2× 74 1.0× 44 0.7× 71 1.2× 11 588
Jana K. Shirey-Rice United States 12 63 0.4× 121 1.2× 34 0.4× 59 1.0× 61 1.1× 23 594
Ashish Sarraju United States 15 176 1.2× 60 0.6× 35 0.5× 102 1.7× 82 1.4× 57 932
Evan Sholle United States 15 135 0.9× 56 0.5× 51 0.7× 74 1.2× 105 1.8× 40 543
Leonard DʼAvolio United States 15 118 0.8× 149 1.5× 57 0.7× 136 2.3× 90 1.6× 32 707
Natalie Fitzpatrick United Kingdom 11 50 0.3× 52 0.5× 32 0.4× 55 0.9× 47 0.8× 35 533
Elliot G. Arsoniadis United States 12 106 0.7× 39 0.4× 43 0.6× 40 0.7× 79 1.4× 27 358
Martin Seneviratne United States 13 237 1.6× 113 1.1× 50 0.6× 37 0.6× 104 1.8× 26 690
Ben J. Marafino United States 11 137 0.9× 47 0.5× 19 0.2× 55 0.9× 51 0.9× 18 447
Anna Ostropolets United States 11 64 0.4× 57 0.6× 24 0.3× 34 0.6× 51 0.9× 33 459

Countries citing papers authored by Jessica Gronsbell

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Gronsbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Gronsbell

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Gronsbell. A scholar is included among the top collaborators of Jessica Gronsbell 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 Jessica Gronsbell. Jessica Gronsbell 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.
Gronsbell, Jessica, et al.. (2025). fairmetrics: An R package for group fairness evaluation. The Journal of Open Source Software. 10(113). 8497–8497.
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McCaw, Zachary R., et al.. (2025). What Is Fair? Defining Fairness in Machine Learning for Health. Statistics in Medicine. 44(20-22). e70234–e70234. 1 indexed citations
5.
McCaw, Zachary R., et al.. (2024). Synthetic surrogates improve power for genome-wide association studies of partially missing phenotypes in population biobanks. Nature Genetics. 56(7). 1527–1536. 6 indexed citations
6.
Hou, Jue, Jessica Gronsbell, Yucong Lin, et al.. (2023). Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies. Journal of Medical Internet Research. 25. e45662–e45662. 8 indexed citations
7.
Bonzel, Clara-Lea, et al.. (2023). Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms. Journal of the American Medical Informatics Association. 31(3). 640–650. 1 indexed citations
8.
Varghese, Paul, et al.. (2022). Machine learning approaches for electronic health records phenotyping: a methodical review. Journal of the American Medical Informatics Association. 30(2). 367–381. 55 indexed citations
9.
Tu, Karen, Robert Kristiansson, Jessica Gronsbell, et al.. (2022). Changes in primary care visits arising from the COVID-19 pandemic: an international comparative study by the International Consortium of Primary Care Big Data Researchers (INTRePID). BMJ Open. 12(5). e059130–e059130. 40 indexed citations
10.
Kalia, Sumeet, Olli Saarela, Tao Chen, et al.. (2022). Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort. IEEE Journal of Biomedical and Health Informatics. 26(8). 4197–4206. 3 indexed citations
11.
Gronsbell, Jessica, Molei Liu, Lü Tian, & Tianxi Cai. (2022). Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. Journal of the Royal Statistical Society Series B (Statistical Methodology). 84(4). 1353–1391. 16 indexed citations
12.
Kalia, Sumeet, Michelle Greiver, Frank Sullivan, et al.. (2022). Marginal structural models using calibrated weights with SuperLearner: application to longitudinal diabetes cohort.. International Journal for Population Data Science. 7(3). 1 indexed citations
13.
Stephenson, Ellen, et al.. (2022). Changes in the top 25 reasons for primary care visits during the COVID-19 pandemic in a high-COVID region of Canada. PubMed Central. 2970–2970. 2 indexed citations
14.
Stephenson, Ellen, Jessica Gronsbell, Karen Tu, et al.. (2022). Disruptions in Primary Care among People with Schizophrenia in Ontario, Canada, During the COVID-19 Pandemic. The Canadian Journal of Psychiatry. 68(6). 426–435. 4 indexed citations
15.
Stephenson, Ellen, Braden O’Neill, Jessica Gronsbell, et al.. (2021). Changes in family medicine visits across sociodemographic groups after the onset of the COVID-19 pandemic in Ontario: a retrospective cohort study. CMAJ Open. 9(2). E651–E658. 25 indexed citations
16.
Stephenson, Ellen, Debra A. Butt, Jessica Gronsbell, et al.. (2021). Changes in the top 25 reasons for primary care visits during the COVID-19 pandemic in a high-COVID region of Canada. PLoS ONE. 16(8). e0255992–e0255992. 58 indexed citations
17.
Liao, Katherine P., Jiehuan Sun, Tianrun Cai, et al.. (2019). High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. Journal of the American Medical Informatics Association. 26(11). 1255–1262. 56 indexed citations
18.
Aghayev, Ayaz, Andreas A. Giannopoulos, Jessica Gronsbell, et al.. (2017). Common First-Pass CT Angiography Findings Associated With Rapid Growth Rate in Abdominal Aorta Aneurysms Between 3 and 5 cm in Largest Diameter. American Journal of Roentgenology. 210(2). 431–437. 12 indexed citations
19.
Gronsbell, Jessica & Tianxi Cai. (2017). Semi-Supervised Approaches to Efficient Evaluation of Model Prediction Performance. Journal of the Royal Statistical Society Series B (Statistical Methodology). 80(3). 579–594. 19 indexed citations
20.
Kumamaru, Kanako K., Hiraku Kumamaru, Brian T. Bateman, et al.. (2016). Limited Hospital Variation in the Use and Yield of CT for Pulmonary Embolism in Patients Undergoing Total Hip or Total Knee Replacement Surgery. Radiology. 281(3). 826–834. 4 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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