Selma Osman

402 citations
13 papers · 205 · h-index 7

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • SARS-CoV-2 detection and testing 3
    • COVID-19 Clinical Research Studies 2
    • Virology and Viral Diseases 3

Selma Osman

13 papers receiving 199 citations

Peers

Selma Osman
Comparison fields: 5 of 61
  • Energy Engineering and Power Technology 20
  • Infectious Diseases 94
  • Pollution 26
  • Modeling and Simulation 10
  • General Energy 2
Replace Chengcong Cai with:
Chengcong Cai Germany
Claire Langley United States
Pei Li China
Laura Pighi Italy
Nivetha Srikanthan Canada
Aditi Nag India
Lucas D. Jones United States
Martin Šmíd Czechia
Wakana Oishi Japan
Megan Sandoval-Powers United States
Selma Osman relative to Chengcong Cai Germany Chengcong Cai's profile →
Citations per field
00.5×4.7×
Chengcong Cai · 1×
Citations per year

Countries citing papers authored by Selma Osman

Since Specialization
Citations

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

Fields of papers citing papers by Selma Osman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202252
2 201945
3 202128
4 201720
5 202218
6 202315
7 20179
8 20215
9 20224
10 20213
11 20232
12 20252
13 20232

About Selma Osman

Selma Osman is a scholar working on Infectious Diseases, Epidemiology, Pollution, Energy Engineering and Power Technology and Molecular Biology, having authored 13 papers that have together received 205 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), Virology and Viral Diseases (3 papers), Energy and Environment Impacts (2 papers), COVID-19 Clinical Research Studies (2 papers), Hybrid Renewable Energy Systems (2 papers), Vaccine Coverage and Hesitancy (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (20 citations), Infectious Diseases (94 citations), Pollution (26 citations), Modeling and Simulation (10 citations) and General Energy (2 citations). Selma Osman has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Shelly Bolotin, Sarah A. Buchan, Jim Wright, Melissa Richard‐Greenblatt, Sabah A. Abdul‐Wahab, Manish Sadarangani, Julie Perry, Yassine Charabi, John Moraros and Kevin A. Brown. Their work appears in journals such as Vaccine, PLoS ONE, The Journal of Infectious Diseases, Environment Development and Sustainability and Eurosurveillance.

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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