Artur Akbarov
- Cardiology and Cardiovascular Medicine
- Safety, Risk, Reliability and Quality top 5%
- Molecular Biology
- Geriatrics and Gerontology top 5%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Shaomin WuEvangelos KontopantelisMaciej TomaszewskiIain BuchanJoshua RowlandJames EalesXiaoguang XuFadi J. Charchar
- Topics
- Reliability and Maintenance Optimization (5 papers)Advanced Statistical Process Monitoring (3 papers)Statistical Distribution Estimation and Applications (3 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Artur Akbarov
19 papers receiving 589 citations
Peers
Comparison fields: 5 of 130
- Cardiology and Cardiovascular Medicine 105
- Safety, Risk, Reliability and Quality 104
- Molecular Biology 91
- Geriatrics and Gerontology 75
- Statistics, Probability and Uncertainty 70
Countries citing papers authored by Artur Akbarov
This map shows the geographic impact of Artur Akbarov'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 Artur Akbarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artur Akbarov more than expected).
Fields of papers citing papers by Artur Akbarov
This network shows the impact of papers produced by Artur Akbarov. 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 Artur Akbarov. The network helps show where Artur Akbarov may publish in the future.
Co-authorship network of co-authors of Artur Akbarov
This figure shows the co-authorship network connecting the top 25 collaborators of Artur Akbarov. A scholar is included among the top collaborators of Artur Akbarov 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 Artur Akbarov. Artur Akbarov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 35 | |
| 3 | 12 | |
| 4 | 42 | |
| 5 | 90 | |
| 6 | 114 | |
| 7 | 3 | |
| 8 | 58 | |
| 9 | 33 | |
| 10 | 50 | |
| 11 | Examining variations in prescribing safety in UK general practice using the Clinical Practice Research Datalink (CPRD) | 1 |
| 12 | Verbal protocols for assessing the usability of clinical decision support: the retrospective sense making protocol. | 3 |
| 13 | 14 | |
| 14 | 13 | |
| 15 | 18 | |
| 16 | 23 | |
| 17 | 56 | |
| 18 | 34 | |
| 19 | Management of primary and metastatic tumors to the liver. | 8 |
About Artur Akbarov
Artur Akbarov is a scholar working on Family Practice, Issues, ethics and legal aspects and Safety, Risk, Reliability and Quality, having authored 19 papers that have together received 611 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (5 papers), Advanced Statistical Process Monitoring (3 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Family Practice (66 citations), Geriatrics and Gerontology (75 citations) and Safety, Risk, Reliability and Quality (104 citations). Artur Akbarov has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Shaomin Wu, Evangelos Kontopantelis, Maciej Tomaszewski, Iain Buchan, Joshua Rowland, James Eales, Xiaoguang Xu, Fadi J. Charchar, Darren M. Ashcroft and Sarah Rodgers. Their work appears in journals such as Nature Communications, European Journal of Operational Research and Kidney International.
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.