Sara Ahmed

850 citations
33 papers · 362 indexed · h-index 9
Topics
Radiomics and Machine Learning in Medical Imaging (14 papers)MRI in cancer diagnosis (5 papers)Head and Neck Cancer Studies (5 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Sara Ahmed

30 papers receiving 358 citations

Peers

Sara Ahmed
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 244
  • Genetics 75
  • Biomedical Engineering 59
  • Pulmonary and Respiratory Medicine 53
  • Oncology 52
Replace G. Klausner with:
G. Klausner France
Aditi Iyer United States
Tanja Schimek‐Jasch Germany
Ekin Ermiş Switzerland
Evelyn Herrmann Switzerland
C Furstoss Canada
Diem Vuong Switzerland
Silvia Strolin Italy
M.A.M. Meheissen Egypt
Benjamin Rosen United States
Sara Ahmed relative to G. Klausner France G. Klausner's profile →
Citations per field
00.5×1.5×2.0×
G. Klausner · 1×
Citations per year

Countries citing papers authored by Sara Ahmed

Since Specialization
Citations

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

Fields of papers citing papers by Sara Ahmed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Ahmed

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 6
4 6
5 4
6 0
7 20
8 9
9 1
10 3
11 1
12 22
13 44
14 4
15 3
16 7
17 1
18 6
19 112
20 13

About Sara Ahmed

Sara Ahmed is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 33 papers that have together received 362 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (5 papers) and Head and Neck Cancer Studies (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (244 citations), Otorhinolaryngology (40 citations) and Health Informatics (10 citations). Sara Ahmed has collaborated with scholars based in United States, Netherlands and Pakistan. Frequent co-authors include Clifton D. Fuller, Abdallah Mohamed, Nabil Elshafeey, Rivka R. Colen, Pascal O. Zinn, Srishti Abrol, Islam Hassan, Anand Agarwal, Brigid A. McDonald and Meng Law. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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