Elma Dervić

2.2k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Elma Dervić is a scholar working on Health, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Elma Dervić has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in Elma Dervić's work include Chronic Disease Management Strategies (3 papers), Health disparities and outcomes (3 papers) and COVID-19 epidemiological studies (2 papers). Elma Dervić is often cited by papers focused on Chronic Disease Management Strategies (3 papers), Health disparities and outcomes (3 papers) and COVID-19 epidemiological studies (2 papers). Elma Dervić collaborates with scholars based in Austria, Sweden and United States. Elma Dervić's co-authors include Peter Klimek, Stefan Thurner, Nils Haug, Vittorio Loreto, Lukas Geyrhofer, Beate Pinior, Amélie Desvars-Larrive, Alessandro Londei, Michael Leutner and Alexander Kautzky and has published in prestigious journals such as Nature Communications, Journal of Dairy Science and Journal of The Royal Society Interface.

In The Last Decade

Elma Dervić

15 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ranking the effectiveness of worldwide COVID-19 government interventions

2020 897 citations Nils Haug, Lukas Geyrhofer et al. Nature Human Behaviour profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elma Dervić Austria	9	528	292	242	192	152	18	1.1k
Nils Haug Austria	5	516 1.0×	296 1.0×	224 0.9×	187 1.0×	142 0.9×	8	965
Eva Turk Slovenia	13	202 0.4×	260 0.9×	158 0.7×	150 0.8×	114 0.8×	28	1.0k
Minah Park Singapore	11	626 1.2×	297 1.0×	225 0.9×	495 2.6×	161 1.1×	18	1.2k
Gideon Meyerowitz‐Katz Australia	14	496 0.9×	182 0.6×	204 0.8×	539 2.8×	146 1.0×	37	1.6k
Xiaoyue Yu China	12	285 0.5×	146 0.5×	147 0.6×	203 1.1×	110 0.7×	39	958
Huwen Wang China	12	305 0.6×	158 0.5×	169 0.7×	225 1.2×	97 0.6×	40	773
Yinxiaohe Sun Singapore	7	545 1.0×	257 0.9×	196 0.8×	398 2.1×	135 0.9×	12	1.1k
Thomas Czypionka Austria	20	246 0.5×	417 1.4×	165 0.7×	189 1.0×	329 2.2×	94	1.6k
Emeline Han United Kingdom	12	227 0.4×	184 0.6×	292 1.2×	160 0.8×	69 0.5×	19	1.0k
Shuxian Zhang China	13	286 0.5×	147 0.5×	135 0.6×	191 1.0×	96 0.6×	45	770

Countries citing papers authored by Elma Dervić

Since Specialization

Citations

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

Fields of papers citing papers by Elma Dervić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elma Dervić

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

All Works

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18 of 18 papers shown

Dervić, Elma, et al.. (2025). Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014). Scientific Data. 12(1). 215–215. 1 indexed citations

Dervić, Elma, et al.. (2025). Healthcare utilization patterns among migrant populations: Increased readmissions suggest poorer access. A population-wide retrospective cohort study. Journal of Migration and Health. 12. 100340–100340.

Dervić, Elma, et al.. (2024). Improving lameness detection in cows: A machine learning algorithm application. Journal of Dairy Science. 107(12). 11550–11562. 2 indexed citations

Conrady, Beate, et al.. (2024). Social network analysis reveals the failure of between-farm movement restrictions to reduce Salmonella transmission. Journal of Dairy Science. 107(9). 6930–6944. 9 indexed citations

Dervić, Elma, Johannes Sorger, Michael Leutner, et al.. (2024). Unraveling cradle-to-grave disease trajectories from multilayer comorbidity networks. npj Digital Medicine. 7(1). 56–56. 11 indexed citations

Prieto-Curiel, Rafael, et al.. (2024). The diaspora model for human migration. PNAS Nexus. 3(5). pgae178–pgae178. 1 indexed citations

Klimek, Peter, et al.. (2023). The Anatomy of the Current Antibiotics Shortage. SSRN Electronic Journal.

Leutner, Michael, et al.. (2023). Obesity as pleiotropic risk state for metabolic and mental health throughout life. Translational Psychiatry. 13(1). 175–175. 41 indexed citations

Lasser, Jana, Elma Dervić, Johannes Sorger, et al.. (2022). Stress-testing the resilience of the Austrian healthcare system using agent-based simulation. Nature Communications. 13(1). 4259–4259. 5 indexed citations

10.

Deischinger, Carola, et al.. (2022). Diabetes mellitus is associated with a higher relative risk for venous thromboembolism in females than in males. Diabetes Research and Clinical Practice. 194. 110190–110190. 9 indexed citations

11.

Dervić, Elma, Carola Deischinger, Nils Haug, et al.. (2021). The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis. JMIR Cardio. 5(2). e28015–e28015. 7 indexed citations

12.

Deischinger, Carola, et al.. (2021). Diabetes Mellitus is Associated with a Higher Relative Risk for Parkinson’s Disease in Women than in Men. Journal of Parkinson s Disease. 11(2). 793–800. 16 indexed citations

13.

Lasser, Jana, Johannes Zuber, Johannes Sorger, et al.. (2021). Agent-based simulations for protecting nursing homes with prevention and vaccination strategies. Journal of The Royal Society Interface. 18(185). 20210608–20210608. 13 indexed citations

14.

Leutner, Michael, Nils Haug, Elma Dervić, et al.. (2021). Risk of Typical Diabetes-Associated Complications in Different Clusters of Diabetic Patients: Analysis of Nine Risk Factors. Journal of Personalized Medicine. 11(5). 328–328. 10 indexed citations

15.

Deischinger, Carola, et al.. (2021). Diabetes mellitus is associated with a higher relative risk for Parkinsons disease in women than in men. Endocrine Abstracts. 1 indexed citations

16.

Haug, Nils, Lukas Geyrhofer, Alessandro Londei, et al.. (2020). Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour. 4(12). 1303–1312. 897 indexed citations breakdown →

17.

Deischinger, Carola, Elma Dervić, Michael Leutner, et al.. (2020). Diabetes mellitus is associated with a higher risk for major depressive disorder in women than in men. BMJ Open Diabetes Research & Care. 8(1). e001430–e001430. 57 indexed citations

18.

Desvars-Larrive, Amélie, Elma Dervić, Nils Haug, & David García. (2020). A structured open dataset of government interventions in response to COVID-19 -- Codes for exploration and visualisation. Zenodo (CERN European Organization for Nuclear Research).

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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