Diana Mincu

1.7k total citations
5 papers, 87 citations indexed

About

Diana Mincu is a scholar working on Artificial Intelligence, General Health Professions and Health Information Management. According to data from OpenAlex, Diana Mincu has authored 5 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in General Health Professions and 1 paper in Health Information Management. Recurrent topics in Diana Mincu's work include Machine Learning in Healthcare (2 papers), Artificial Intelligence in Healthcare (1 paper) and Digital Mental Health Interventions (1 paper). Diana Mincu is often cited by papers focused on Machine Learning in Healthcare (2 papers), Artificial Intelligence in Healthcare (1 paper) and Digital Mental Health Interventions (1 paper). Diana Mincu collaborates with scholars based in United Kingdom, United States and France. Diana Mincu's co-authors include Subhrajit Roy, Lauren Wilcox, Mahima Pushkarna, Negar Rostamzadeh, Jessica Schrouff, Razvan Amironesei, Katherine Heller, Andrew Smart, Alan Karthikesalingam and Ivan Protsyuk and has published in prestigious journals such as Scientific Reports, Journal of the American Medical Informatics Association and Nature Machine Intelligence.

In The Last Decade

Diana Mincu

5 papers receiving 85 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diana Mincu United Kingdom	4	37	33	17	12	12	5	87
Marie-Christine Fritzsche Germany	5	18 0.5×	37 1.1×	12 0.7×	19 1.6×	10 0.8×	6	90
Eva Weicken Germany	5	68 1.8×	81 2.5×	12 0.7×	21 1.8×	48 4.0×	6	168
Gary L. Legault United States	7	19 0.5×	26 0.8×	16 0.9×	42 3.5×	44 3.7×	27	172
Francis McKay United Kingdom	6	48 1.3×	44 1.3×	12 0.7×	21 1.8×	35 2.9×	11	112
Lukas Weidener Austria	5	35 0.9×	148 4.5×	15 0.9×	45 3.8×	57 4.8×	10	182
Ye‐Jean Park Canada	5	86 2.3×	98 3.0×	5 0.3×	19 1.6×	35 2.9×	16	212
Kostis Giannakopoulos Cyprus	4	65 1.8×	164 5.0×	7 0.4×	17 1.4×	70 5.8×	9	236
Suhana Bedi United States	4	68 1.8×	91 2.8×	3 0.2×	11 0.9×	38 3.2×	7	176
Mehul Gupta Canada	5	93 2.5×	109 3.3×	5 0.3×	18 1.5×	42 3.5×	7	202
Yin‐Hsi Chang Taiwan	7	65 1.8×	105 3.2×	10 0.6×	20 1.7×	72 6.0×	16	223

Countries citing papers authored by Diana Mincu

Since Specialization

Citations

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

Fields of papers citing papers by Diana Mincu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Mincu

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Mincu. A scholar is included among the top collaborators of Diana Mincu 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 Diana Mincu. Diana Mincu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Roy, Subhrajit, Diana Mincu, Lev Proleev, et al.. (2025). Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis. Scientific Reports. 15(1). 18209–18209. 1 indexed citations

2.

Ferruz, Noelia, Marinka Žitnik, Pierre‐Yves Oudeyer, et al.. (2024). Anniversary AI reflections. Nature Machine Intelligence. 6(1). 6–12. 8 indexed citations

3.

Mincu, Diana & Subhrajit Roy. (2022). Developing robust benchmarks for driving forward AI innovation in healthcare. Nature Machine Intelligence. 4(11). 916–921. 31 indexed citations

4.

Rostamzadeh, Negar, Diana Mincu, Subhrajit Roy, et al.. (2022). Healthsheet: Development of a Transparency Artifact for Health Datasets. 1943–1961. 37 indexed citations

5.

Roy, Subhrajit, Diana Mincu, Anne Mottram, et al.. (2021). Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. Journal of the American Medical Informatics Association. 28(9). 1936–1946. 10 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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