Stefan Dascalu

409 citations
14 papers · 217 · h-index 7

Impact in

Papers in

    • Vaccine Coverage and Hesitancy 5
    • Religion, Spirituality, and Psychology 1
    • SARS-CoV-2 and COVID-19 Research 3

Stefan Dascalu

12 papers receiving 211 citations

Peers

Stefan Dascalu
Comparison fields: 5 of 57
  • Health 56
  • Modeling and Simulation 32
  • Infectious Diseases 52
  • Clinical Psychology 35
  • Applied Microbiology and Biotechnology 3
Replace Mona I. Ahmed with:
Mona I. Ahmed Egypt
Nadiya Krishnan India
Gwenetta Curry United Kingdom
Stijn Van Hees Belgium
Andrea McNeill New Zealand
Héctor Pifarré i Arolas Spain
Justin Maeda Ethiopia
Charlotte Knowles Netherlands
Anwar A. Sayed Saudi Arabia
Senga Sembuche Ethiopia
Stefan Dascalu relative to Mona I. Ahmed Egypt Mona I. Ahmed's profile →
Citations per field
00.5×2×2.8×
Mona I. Ahmed · 1×
Citations per year

Countries citing papers authored by Stefan Dascalu

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Dascalu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Dascalu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stefan Dascalu Line = papers co-authored together Stefan Dascalu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202070
2 202137
3 202130
4 201925
5 202117
6 202116
7 20219
8 20235
9 20244
10 20232
11 20251
12 20201
13 20230
14 20190

About Stefan Dascalu

Stefan Dascalu is a scholar working on Health, Infectious Diseases, Sociology and Political Science, Epidemiology and Obstetrics and Gynecology, having authored 14 papers that have together received 217 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 epidemiological studies (2 papers), COVID-19 Impact on Reproduction (2 papers), Distributed systems and fault tolerance (1 paper), Religion, Spirituality, and Psychology (1 paper), Virology and Viral Diseases (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Health (56 citations), Modeling and Simulation (32 citations), Infectious Diseases (52 citations), Clinical Psychology (35 citations) and Applied Microbiology and Biotechnology (3 citations). Stefan Dascalu has collaborated with scholars based in United Kingdom, United States and Romania. Frequent co-authors include Doina Azoicăi, Cristian Apetrei, Răzvan Mircea Cherecheș, Michael B. Bonsall, Mahan Ghafari, Steven Fiddaman, Stephen G. Preston, Amy Boyd, Bernd Kaspers and Ivan Rychlı́k. Their work appears in journals such as Frontiers in Public Health, Frontiers in Immunology, BMC Genomics, Frontiers in Oncology and Epidemics.

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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