François Modave

2.5k total citations
88 papers, 1.5k citations indexed

About

François Modave is a scholar working on General Health Professions, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, François Modave has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in General Health Professions, 22 papers in Artificial Intelligence and 18 papers in Management Science and Operations Research. Recurrent topics in François Modave's work include Mobile Health and mHealth Applications (13 papers), Multi-Criteria Decision Making (12 papers) and Fuzzy Systems and Optimization (10 papers). François Modave is often cited by papers focused on Mobile Health and mHealth Applications (13 papers), Multi-Criteria Decision Making (12 papers) and Fuzzy Systems and Optimization (10 papers). François Modave collaborates with scholars based in United States, Australia and France. François Modave's co-authors include Jiang Bian, Yi Guo, Mattia Prosperi, Meghan Brennan, Chris Giordano, Patrick Tighe, Parisa Rashidi, Basma Mohamed, Jae Min and Thomas J. George and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

François Modave

84 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Modave United States 22 400 285 214 156 142 88 1.5k
Sooyoung Yoo South Korea 23 348 0.9× 268 0.9× 183 0.9× 112 0.7× 57 0.4× 127 1.8k
Thomas Kannampallil United States 25 739 1.8× 243 0.9× 231 1.1× 60 0.4× 136 1.0× 139 2.7k
Christopher A. Harle United States 20 481 1.2× 324 1.1× 461 2.2× 92 0.6× 224 1.6× 107 2.0k
Gregor Štiglic Slovenia 22 293 0.7× 440 1.5× 141 0.7× 75 0.5× 140 1.0× 131 1.7k
Jianbo Lei China 22 470 1.2× 363 1.3× 199 0.9× 398 2.6× 77 0.5× 77 2.2k
Bibhas Chakraborty United States 27 484 1.2× 353 1.2× 171 0.8× 259 1.7× 92 0.6× 114 2.7k
Shabbir Syed-Abdul Taiwan 30 581 1.5× 345 1.2× 328 1.5× 169 1.1× 168 1.2× 115 2.9k
Yu Rang Park South Korea 20 257 0.6× 217 0.8× 165 0.8× 97 0.6× 56 0.4× 121 1.6k
Chris Sidey‐Gibbons United States 28 391 1.0× 386 1.4× 277 1.3× 75 0.5× 269 1.9× 102 3.0k
Leanne M. Currie Canada 27 920 2.3× 216 0.8× 437 2.0× 170 1.1× 43 0.3× 137 2.9k

Countries citing papers authored by François Modave

Since Specialization
Citations

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

Fields of papers citing papers by François Modave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Modave

This figure shows the co-authorship network connecting the top 25 collaborators of François Modave. A scholar is included among the top collaborators of François Modave 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 François Modave. François Modave 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.
Reich, Richard R., Tamara N. Kolli, Adetola Louis‐Jacques, et al.. (2025). AI in Hypertensive Disorders of Pregnancy: Review. American Journal of Hypertension. 38(12). 1009–1019.
2.
Price, Catherine C., et al.. (2024). Development of a Probabilistic Boolean network (PBN) to model intraoperative blood pressure management. Computer Methods and Programs in Biomedicine. 249. 108143–108143. 1 indexed citations
3.
Wang, Chang, Christopher A. Harle, Tanja Magoč, et al.. (2023). Machine learning-based prediction models for home discharge in patients with COVID-19: Development and evaluation using electronic health records. PLoS ONE. 18(10). e0292888–e0292888. 2 indexed citations
4.
Keenan, Gail M., et al.. (2023). Clinical Decision Support Systems for Palliative Care Management: A Scoping Review. Journal of Pain and Symptom Management. 66(2). e205–e218. 8 indexed citations
5.
Markossian, Talar, et al.. (2021). A Mobile App to Support Self-management of Chronic Kidney Disease: Development Study. JMIR Human Factors. 8(4). e29197–e29197. 19 indexed citations
6.
Forrest, Christopher B., Haolin Xu, Laine Thomas, et al.. (2021). Impact of the Early Phase of the COVID-19 Pandemic on US Healthcare Workers: Results from the HERO Registry. Journal of General Internal Medicine. 36(5). 1319–1326. 51 indexed citations
7.
Giordano, Chris, Meghan Brennan, Basma Mohamed, et al.. (2021). Accessing Artificial Intelligence for Clinical Decision-Making. Frontiers in Digital Health. 3. 645232–645232. 172 indexed citations
8.
Kulshrestha, Sujay, Neelam Balasubramanian, İbrahi̇m Karabayir, et al.. (2020). Application of machine learning to the prediction of postoperative sepsis after appendectomy. Surgery. 169(3). 671–677. 22 indexed citations
9.
Modave, François, Yunpeng Zhao, Janice L. Krieger, et al.. (2019). Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. Studies in health technology and informatics. 264. 1293–1297. 15 indexed citations
10.
Bernier, Angelina, et al.. (2018). New-Onset Diabetes Educator to Educate Children and Their Caregivers About Diabetes at the Time of Diagnosis: Usability Study. JMIR Diabetes. 3(2). e10–e10. 18 indexed citations
11.
Zhang, Hansi, Yi Guo, Qian Li, et al.. (2018). An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival. BMC Medical Informatics and Decision Making. 18(S2). 41–41. 39 indexed citations
12.
Lucero, Robert, Jemima A. Frimpong, Ragnhildur I. Bjarnadóttir, et al.. (2017). The Relationship Between Individual Characteristics and Interest in Using a Mobile Phone App for HIV Self-Management: Observational Cohort Study of People Living With HIV. JMIR mhealth and uhealth. 5(7). e100–e100. 14 indexed citations
13.
Huo, Tianyao, et al.. (2017). Colorectal cancer stages transcriptome analysis. PLoS ONE. 12(11). e0188697–e0188697. 28 indexed citations
14.
Lossio-Ventura, Juan Antonio, William R. Hogan, François Modave, et al.. (2017). OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base. PubMed. 2017. 1284–1287. 3 indexed citations
15.
Modave, François, et al.. (2016). DiaFit: The Development of a Smart App for Patients with Type 2 Diabetes and Obesity. JMIR Diabetes. 1(2). e5–e5. 16 indexed citations
16.
Lossio-Ventura, Juan Antonio, William R. Hogan, François Modave, et al.. (2016). Towards an obesity-cancer knowledge base: Biomedical entity identification and relation detection. PubMed. 2016. 1081–1088. 10 indexed citations
17.
Magoč, Tanja, Xiao‐Jing Wang, François Modave, & Martine Ceberio. (2011). Applications of Fuzzy Measures and Intervals in Finance.. Reliable Computing. 15(4). 300–311. 3 indexed citations
18.
Magoč, Tanja, Xiaojing Wang, & François Modave. (2010). Application of fuzzy measures and interval computation to financial portfolio selection. Journal of Intelligent Systems. 25(7). 621–635. 10 indexed citations
19.
20.
Modave, François, et al.. (2001). Web-Based Collaborative Multi-Criteria Decision Making. Griffith Research Online (Griffith University, Queensland, Australia). 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sooyoung Yoo Breakdown of academic impact, for papers by Thomas Kannampallil Breakdown of academic impact, for papers by Christopher A. Harle Breakdown of academic impact, for papers by Gregor Štiglic Breakdown of academic impact, for papers by Jianbo Lei Breakdown of academic impact, for papers by Bibhas Chakraborty Breakdown of academic impact, for papers by Shabbir Syed-Abdul Breakdown of academic impact, for papers by Yu Rang Park Breakdown of academic impact, for papers by Chris Sidey‐Gibbons Breakdown of academic impact, for papers by Leanne M. Currie
Rankless by CCL
2026