Hamad Eid Al‐Romaihi
- Infectious Diseases top 1%
- Animal Science and Zoology top 1%
- Modeling and Simulation top 1%
- Epidemiology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Elmoubasher FaragMarion KoopmansChantal ReuskenBart L. HaagmansV. Stalin RajFarhoud AlhajriSalih Al-MarriMohd M. AlHajri
- Topics
- SARS-CoV-2 and COVID-19 Research (22 papers)COVID-19 epidemiological studies (13 papers)Vaccine Coverage and Hesitancy (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- QatarUnited StatesNetherlands
In The Last Decade
Hamad Eid Al‐Romaihi
63 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Infectious Diseases 1.2k
- Animal Science and Zoology 425
- Modeling and Simulation 340
- Epidemiology 245
- Public Health, Environmental and Occupational Health 141
Countries citing papers authored by Hamad Eid Al‐Romaihi
This map shows the geographic impact of Hamad Eid Al‐Romaihi'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 Hamad Eid Al‐Romaihi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamad Eid Al‐Romaihi more than expected).
Fields of papers citing papers by Hamad Eid Al‐Romaihi
This network shows the impact of papers produced by Hamad Eid Al‐Romaihi. 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 Hamad Eid Al‐Romaihi. The network helps show where Hamad Eid Al‐Romaihi may publish in the future.
Co-authorship network of co-authors of Hamad Eid Al‐Romaihi
This figure shows the co-authorship network connecting the top 25 collaborators of Hamad Eid Al‐Romaihi. A scholar is included among the top collaborators of Hamad Eid Al‐Romaihi 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 Hamad Eid Al‐Romaihi. Hamad Eid Al‐Romaihi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 21 | |
| 13 | 54 | |
| 14 | 26 | |
| 15 | 24 | |
| 16 | 22 | |
| 17 | 36 | |
| 18 | 2 | |
| 19 | 20 | |
| 20 | Middle East respiratory syndrome coronavirus in dromedary camels: an outbreak investigationbreakdown → | 503 |
About Hamad Eid Al‐Romaihi
Hamad Eid Al‐Romaihi is a scholar working on Modeling and Simulation, Infectious Diseases and Microbiology, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (22 papers), COVID-19 epidemiological studies (13 papers) and Vaccine Coverage and Hesitancy (8 papers). The work is most often cited by research in Modeling and Simulation (340 citations), Infectious Diseases (1.2k citations) and Animal Science and Zoology (425 citations). Hamad Eid Al‐Romaihi has collaborated with scholars based in Qatar, United States and Netherlands. Frequent co-authors include Elmoubasher Farag, Marion Koopmans, Chantal Reusken, Bart L. Haagmans, V. Stalin Raj, Farhoud Alhajri, Salih Al-Marri, Mohd M. AlHajri, Hazem M. Ghobashy and Mohamed H. Al‐Thani. 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.