Tanja Magoč

1.6k total citations · 1 hit paper
33 papers, 810 citations indexed

About

Tanja Magoč is a scholar working on Artificial Intelligence, Management Science and Operations Research and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Tanja Magoč has authored 33 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 4 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Tanja Magoč's work include Machine Learning in Healthcare (5 papers), Intensive Care Unit Cognitive Disorders (4 papers) and Multi-Criteria Decision Making (3 papers). Tanja Magoč is often cited by papers focused on Machine Learning in Healthcare (5 papers), Intensive Care Unit Cognitive Disorders (4 papers) and Multi-Criteria Decision Making (3 papers). Tanja Magoč collaborates with scholars based in United States. Tanja Magoč's co-authors include Jiang Bian, Yonghui Wu, Elizabeth Shenkman, William R. Hogan, Xi Yang, Ying Zhang, Gloria Lipori, Anthony Costa, Duane A. Mitchell and Aokun Chen and has published in prestigious journals such as JAMA, PLoS ONE and Neurology.

In The Last Decade

Tanja Magoč

30 papers receiving 787 citations

Hit Papers

A large language model for electronic health records 2022 2026 2023 2024 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja Magoč United States 10 383 271 132 108 92 33 810
Aokun Chen United States 8 405 1.1× 288 1.1× 135 1.0× 95 0.9× 90 1.0× 24 743
Sunyang Fu United States 18 521 1.4× 233 0.9× 115 0.9× 139 1.3× 259 2.8× 86 1.1k
Lokesh Sharma India 6 236 0.6× 111 0.4× 105 0.8× 229 2.1× 59 0.6× 20 936
Artuur Leeuwenberg Netherlands 8 275 0.7× 123 0.5× 77 0.6× 58 0.5× 61 0.7× 23 579
Brett K. Beaulieu‐Jones United States 16 624 1.6× 266 1.0× 191 1.4× 170 1.6× 167 1.8× 33 1.4k
Emily Alsentzer United States 9 827 2.2× 255 0.9× 134 1.0× 109 1.0× 333 3.6× 22 1.2k
Martin Michalowski United States 13 274 0.7× 309 1.1× 102 0.8× 116 1.1× 54 0.6× 50 810
Mehmet Aydar United States 8 226 0.6× 243 0.9× 274 2.1× 189 1.8× 67 0.7× 18 1.1k
David C. Kale United States 11 467 1.2× 261 1.0× 130 1.0× 179 1.7× 72 0.8× 16 943
Kory Kreimeyer United States 9 244 0.6× 96 0.4× 65 0.5× 81 0.8× 174 1.9× 16 570

Countries citing papers authored by Tanja Magoč

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Magoč

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Magoč

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Magoč. A scholar is included among the top collaborators of Tanja Magoč 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 Tanja Magoč. Tanja Magoč 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.
Gregory, Megan E., et al.. (2024). Development and validation of computable social phenotypes for health-related social needs. JAMIA Open. 8(1). ooae150–ooae150. 1 indexed citations
2.
Solberg, Laurence M., Mattia Prosperi, Tanja Magoč, et al.. (2023). Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium. BMC Medical Informatics and Decision Making. 23(1). 181–181. 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.
Solberg, Laurence M., Laurie Duckworth, Tanja Magoč, et al.. (2023). Use of a Data Repository to Identify Delirium as a Presenting Symptom of COVID-19 Infection in Hospitalized Adults: Cross-Sectional Cohort Pilot Study. JMIR Aging. 6. e43185–e43185. 2 indexed citations
5.
Cheng, Peng, Xi Yang, Aokun Chen, et al.. (2023). A study of generative large language model for medical research and healthcare. npj Digital Medicine. 6(1). 210–210. 186 indexed citations
7.
Tang, Huilin, Jingchuan Guo, C. Elizabeth Shaaban, et al.. (2023). Heterogeneous treatment effects of metformin on risk of dementia in patients with type 2 diabetes: A longitudinal observational study. Alzheimer s & Dementia. 20(2). 975–985. 19 indexed citations
8.
Magoč, Tanja, et al.. (2023). Generalizability and portability of natural language processing system to extract individual social risk factors. International Journal of Medical Informatics. 177. 105115–105115. 9 indexed citations
9.
Yang, Xi, Aokun Chen, Kaleb E Smith, et al.. (2022). A large language model for electronic health records. npj Digital Medicine. 5(1). 194–194. 434 indexed citations breakdown →
10.
Hogan, William R., Elizabeth Shenkman, Patricia Robinson, et al.. (2021). The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope. Journal of the American Medical Informatics Association. 29(4). 686–693. 45 indexed citations
11.
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
12.
Magoč, Tanja, Martine Ceberio, & François Modave. (2011). Using preference constraints to solve multi-criteria decision making problems. Reliable Computing. 15(3). 218–229. 1 indexed citations
13.
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
14.
Magoč, Tanja, et al.. (2010). A line of sight algorithm using fuzzy measures. 1–6. 3 indexed citations
15.
Jaimes, Aline, et al.. (2010). Optimal Sensor Placement in Environmental Research: Designing a Sensor Network under Uncertainty. scholarworks - UTEP (The University of Texas at El Paso). 255–267. 3 indexed citations
16.
Magoč, Tanja, Xiaojing Wang, & François Modave. (2010). Application of fuzzy measures and interval computation to financial portfolio selection. International Journal of Intelligent Systems. n/a–n/a. 6 indexed citations
17.
Magoč, Tanja, Eric Freudenthal, & François Modave. (2010). Computation for Science and Engineering. 991–995. 2 indexed citations
18.
Magoč, Tanja & Владик Крейнович. (2009). Empirical formulas for economic fluctuations: Towards a new justification. 17. 1–5. 1 indexed citations
19.
Magoč, Tanja, Martine Ceberio, & François Modave. (2008). Interval-based multi-criteria decision making: Strategies to order intervals. 1–6. 9 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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