Valentin Danchev
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Meta-analysis and systematic reviews
- scientometrics and bibliometrics research
Papers in
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- Scientific Computing and Data Management 3
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- Computational Physics and Python Applications 1
- Co-authors
- Mason A. Porter (1 shared paper)John P. A. Ioannidis (3 shared papers)John Borghi (1 shared paper)Mike Baiocchi (1 shared paper)Min Yan (1 shared paper)Steven N. Goodman (1 shared paper)Tom E Hardwicke (1 shared paper)Stylianos Serghiou (1 shared paper)
- Journals
- Social Networks (1 paper)PLoS Medicine (1 paper)eLife (1 paper)Annual Review of Statistics and Its Application (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Valentin Danchev
7 papers receiving 204 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 13
- Statistics, Probability and Uncertainty 62
- Information Systems and Management 44
- Public Health, Environmental and Occupational Health 54
- Information Systems 40
Countries citing papers authored by Valentin Danchev
This map shows the geographic impact of Valentin Danchev'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 Valentin Danchev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Danchev more than expected).
Fields of papers citing papers by Valentin Danchev
This network shows the impact of papers produced by Valentin Danchev. 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 Valentin Danchev. The network helps show where Valentin Danchev may publish in the future.
Co-authors
The 25 scholars most cited alongside Valentin Danchev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2021 | 47 | |
| 3 | 2017 | 38 | |
| 4 | 2021 | 23 | |
| 5 | 2022 | 21 | |
| 6 | 2019 | 21 | |
| 7 | 2022 | 2 |
About Valentin Danchev
Valentin Danchev is a scholar working on Information Systems and Management, Artificial Intelligence, Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty and Health Information Management, having authored 7 papers that have together received 208 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Ethics in Clinical Research (2 papers), Computational Physics and Python Applications (1 paper), Ethics and Social Impacts of AI (1 paper), Regional Economics and Spatial Analysis (1 paper), Health and Medical Research Impacts (1 paper), Urban, Neighborhood, and Segregation Studies (1 paper) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Health Informatics (13 citations), Statistics, Probability and Uncertainty (62 citations), Information Systems and Management (44 citations), Public Health, Environmental and Occupational Health (54 citations) and Information Systems (40 citations). Valentin Danchev has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mason A. Porter, John P. A. Ioannidis, John Borghi, Mike Baiocchi, Min Yan, Steven N. Goodman, Tom E Hardwicke, Stylianos Serghiou, Sophia Crüwell and Perrine Janiaud. Their work appears in journals such as Social Networks, PLoS Medicine, eLife, Annual Review of Statistics and Its Application and JAMA Network Open.
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.