Sevim Ahmedov

961 citations
30 papers · 452 · h-index 9

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 26
    • Pneumocystis jirovecii pneumonia detection and treatment 8
    • Pneumonia and Respiratory Infections 8
    • Mycobacterium research and diagnosis 4

Sevim Ahmedov

27 papers receiving 438 citations

Peers

Sevim Ahmedov
Comparison fields: 5 of 76
  • Infectious Diseases 366
  • Modeling and Simulation 51
  • Epidemiology 207
  • Health Informatics 5
  • Applied Microbiology and Biotechnology 5
Replace Enos Masini with:
Enos Masini Kenya
Rachael M. Burke United Kingdom
Marriott Nliwasa Malawi
Andrei Mosneaga United States
McEwen Khundi United Kingdom
Lindiwe Mvusi South Africa
Nimalan Arinaminpathy United Kingdom
Aashifa Yaqoob Pakistan
Ikushi Onozaki Japan
K.K. Chopra India
Sevim Ahmedov relative to Enos Masini Kenya Enos Masini's profile →
Citations per field
00.5×1.7×
Enos Masini · 1×
Citations per year

Countries citing papers authored by Sevim Ahmedov

Since Specialization
Citations

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

Fields of papers citing papers by Sevim Ahmedov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020200
2 201843
3 201929
4 202024
5 201423
6 202121
7 201319
8 202015
9 20219
10 20218
11 20217
12 20247
13 20107
14 20176
15 20235
16 20195
17 20204
18 20243
19 20233
20 20173

About Sevim Ahmedov

Sevim Ahmedov is a scholar working on Infectious Diseases, Epidemiology, Surgery, General Health Professions and Economics and Econometrics, having authored 30 papers that have together received 452 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (26 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Pneumonia and Respiratory Infections (8 papers), Diagnosis and treatment of tuberculosis (4 papers), Mycobacterium research and diagnosis (4 papers), COVID-19 diagnosis using AI (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Infectious Diseases (366 citations), Modeling and Simulation (51 citations), Epidemiology (207 citations), Health Informatics (5 citations) and Applied Microbiology and Biotechnology (5 citations). Sevim Ahmedov has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Suvanand Sahu, Enos Masini, Juan F Vesga, Nimalan Arinaminpathy, David W. Dowdy, Lucia Cilloni, Andrei Mosneaga, Han Fu, Carel Pretorius and Sreenivas Achuthan Nair. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, BMC Infectious Diseases, Journal of the International AIDS Society, Scientific Reports and Clinical Microbiology and Infection.

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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