Romy Olsha

881 citations
27 papers · 560 · h-index 15

Impact in

Papers in

    • Influenza Virus Research Studies 16
    • Respiratory viral infections research 13
    • Pneumonia and Respiratory Infections 3
    • Virology and Viral Diseases 3
    • Viral gastroenteritis research and epidemiology 5
    • SARS-CoV-2 and COVID-19 Research 5

Romy Olsha

24 papers receiving 546 citations

Peers

Romy Olsha
Comparison fields: 5 of 60
  • Infectious Diseases 278
  • Modeling and Simulation 58
  • Epidemiology 411
  • Microbiology 51
  • Health 57
Replace Nivedita Gupta with:
Nivedita Gupta India
Sonia T. Hegde United States
A. Angelica Trujillo United States
Ruth Chapman United Kingdom
Marzieh Jamalidoust Iran
Valeria Alfonsi Italy
Mioljub Ristić Serbia
Mandy Kader Kondé Guinea
Shyam Bawikar Oman
Kevin Freeman Australia
Romy Olsha relative to Nivedita Gupta India Nivedita Gupta's profile →
Citations per field
00.5×10×15×19.5×
Nivedita Gupta · 1×
Citations per year

Countries citing papers authored by Romy Olsha

Since Specialization
Citations

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

Fields of papers citing papers by Romy Olsha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Romy Olsha, 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 Romy Olsha Line = papers co-authored together Romy Olsha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201767
2 201349
3 201348
4 201947
5 201943
6 202432
7 202329
8 202028
9 202027
10 201726
11 202022
12 201322
13 202217
14 201516
15 201115
16 201813
17 201512
18 201510
19 201910
20 20257

About Romy Olsha

Romy Olsha is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 27 papers that have together received 560 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), Respiratory viral infections research (13 papers), Viral gastroenteritis research and epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (5 papers), Pneumonia and Respiratory Infections (3 papers), Virology and Viral Diseases (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Infectious Diseases (278 citations), Modeling and Simulation (58 citations), Epidemiology (411 citations), Microbiology (51 citations) and Health (57 citations). Romy Olsha has collaborated with scholars based in Canada and United States. Frequent co-authors include Jonathan B. Gubbay, Danuta M. Skowronski, Suzana Sabaiduc, James A. Dickinson, Hugues Charest, Alireza Eshaghi, Gaston De Serres, Agatha N. Jassem, Nathalie Bastien and Mel Krajden. Their work appears in journals such as Eurosurveillance, Emerging infectious diseases, Clinical Infectious Diseases, Journal of Clinical Microbiology and Diagnostic Microbiology and Infectious Disease.

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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