Alexander Davydov
- Artificial Intelligence
- Health Information Management top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Epidemiology
- Co-authors
- Anna OstropoletsMartijn J. SchuemiePeter RijnbeekChristian ReichDmitry DymshytsGeorge HripcsakPatrick RyanPatricia Biedermann
- Topics
- Pneumonia and Respiratory Infections (3 papers)Bacterial Infections and Vaccines (3 papers)Genomics and Rare Diseases (1 paper)
- Journals
- Journal of the American Medical Informatics AssociationBMC Medical Research MethodologyClinical Microbiology and Antimicrobial Chemotherapy
- Partner nations
- BelarusNetherlandsSwitzerland
In The Last Decade
Alexander Davydov
5 papers receiving 84 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 26
- Health Information Management 22
- Molecular Biology 19
- Public Health, Environmental and Occupational Health 17
- Epidemiology 13
Countries citing papers authored by Alexander Davydov
This map shows the geographic impact of Alexander Davydov'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 Alexander Davydov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Davydov more than expected).
Fields of papers citing papers by Alexander Davydov
This network shows the impact of papers produced by Alexander Davydov. 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 Alexander Davydov. The network helps show where Alexander Davydov may publish in the future.
Co-authorship network of co-authors of Alexander Davydov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Davydov. A scholar is included among the top collaborators of Alexander Davydov 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 Alexander Davydov. Alexander Davydov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 37 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | Diagnosis treatment and prophylaxis of community-acquired bacterial meningitis: the review of the guidelines of European Society for Clinical Microbiology and Infectious Diseases | 2 |
About Alexander Davydov
Alexander Davydov is a scholar working on Microbiology, Health Information Management and Endocrinology, having authored 5 papers that have together received 85 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (3 papers), Bacterial Infections and Vaccines (3 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Health Informatics (10 citations), Health Information Management (22 citations) and Microbiology (6 citations). Alexander Davydov has collaborated with scholars based in Belarus, Netherlands and Switzerland. Frequent co-authors include Anna Ostropolets, Martijn J. Schuemie, Peter Rijnbeek, Christian Reich, Dmitry Dymshyts, George Hripcsak, Patrick Ryan, Patricia Biedermann, Rose Ong and Monika Brand. Their work appears in journals such as Journal of the American Medical Informatics Association, BMC Medical Research Methodology and Clinical Microbiology and Antimicrobial Chemotherapy.
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.