Elma Dervić

2.2k citations
18 papers · 1.1k indexed · 1 hit paper · h-index 9
Topics
Chronic Disease Management Strategies (3 papers)Health disparities and outcomes (3 papers)COVID-19 epidemiological studies (2 papers)

In The Last Decade

Elma Dervić

15 papers receiving 1.0k citations

Hit Papers

Ranking the effectiveness of worldwide COVID-19 governmen...20202026202220242020250500750

Peers

Elma Dervić
Comparison fields: 5 of 139
  • Modeling and Simulation 528
  • Economics and Econometrics 292
  • Clinical Psychology 242
  • Infectious Diseases 192
  • Epidemiology 152
Replace Nils Haug with:
Nils Haug Austria
Minah Park Singapore
Yinxiaohe Sun Singapore
Eva Turk Slovenia
Gideon Meyerowitz‐Katz Australia
Joel Ruihan Koo Singapore
Xiaoyue Yu China
Huwen Wang China
Emeline Han United Kingdom
Shuxian Zhang China
Elma Dervić relative to Nils Haug Austria Nils Haug's profile →
Citations per field
00.5×1.5×1.8×
Nils Haug · 1×
Citations per year

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

18 of 18 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 9
5 11
6 1
7 0
8 41
9 5
10 9
11 7
12 16
13 13
14 10
15 1
16
Ranking the effectiveness of worldwide COVID-19 government interventionsbreakdown →
897
17 57
18 0

About Elma Dervić

Elma Dervić is a scholar working on Applied Microbiology and Biotechnology, Health and Modeling and Simulation, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (3 papers), Health disparities and outcomes (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Modeling and Simulation (528 citations), Health (128 citations) and Clinical Psychology (242 citations). Elma Dervić has collaborated with scholars based in Austria, Sweden and United States. Frequent 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. Their work appears in journals such as Nature Communications, Journal of Dairy Science and Journal of The Royal Society Interface.

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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