Einas Al‐Kuwari

5.9k citations
15 papers · 145 indexed · h-index 7
Topics
SARS-CoV-2 and COVID-19 Research (6 papers)COVID-19 epidemiological studies (4 papers)COVID-19 Clinical Research Studies (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
QatarUnited StatesEgypt

In The Last Decade

Einas Al‐Kuwari

14 papers receiving 145 citations

Peers

Einas Al‐Kuwari
Comparison fields: 5 of 43
  • Infectious Diseases 82
  • Modeling and Simulation 45
  • Neurology 22
  • Oncology 22
  • Clinical Psychology 18
Replace Francisco Javier Martínez-Peromingo with:
Francisco Javier Martínez-Peromingo Spain
Casey Choong United States
Huaizhong Cui China
Esther Saiag Israel
Jan-Steffen Kruessel Germany
Lena Nguyen Canada
Manabu Kitagaki Japan
Thomas L. Jeffers United States
Bowen Liang China
Cristina Gómez González Spain
Einas Al‐Kuwari relative to Francisco Javier Martínez-Peromingo Spain Francisco Javier Martínez-Peromingo's profile →
Citations per field
00.5×1.5×2.5×
Francisco Javier Martínez-Peromingo · 1×
Citations per year

Countries citing papers authored by Einas Al‐Kuwari

Since Specialization
Citations

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

Fields of papers citing papers by Einas Al‐Kuwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Einas Al‐Kuwari. 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 Einas Al‐Kuwari. The network helps show where Einas Al‐Kuwari may publish in the future.

Co-authorship network of co-authors of Einas Al‐Kuwari

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 3
5 17
6 13
7 17
8 54
9 2
10 8
11 5
12 1
13 3
14 12
15 7

About Einas Al‐Kuwari

Einas Al‐Kuwari is a scholar working on Modeling and Simulation, Infectious Diseases and Molecular Medicine, having authored 15 papers that have together received 145 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (45 citations), Infectious Diseases (82 citations) and Health (13 citations). Einas Al‐Kuwari has collaborated with scholars based in Qatar, United States and Egypt. Frequent co-authors include Ali Nizar Latif, Laith J. Abu‐Raddad, Roberto Bertollini, Peter Coyle, Zaina Al Kanaani, Adeel A. Butt, Abdullatif Al Khal, Hanan F. Abdul Rahim, Hamad Eid Al‐Romaihi and Denis Gravel. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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