Valentin Danchev
Impact in
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- Meta-analysis and systematic reviews
- scientometrics and bibliometrics research
Papers in
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- Scientific Computing and Data Management 4
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- Topic Modeling 1
- Co-authors
- Mason A. Porter (2 shared papers)John P. A. Ioannidis (3 shared papers)Mike Baiocchi (1 shared paper)John Borghi (1 shared paper)Perrine Janiaud (1 shared paper)Stylianos Serghiou (1 shared paper)Sophia Crüwell (1 shared paper)Steven N. Goodman (1 shared paper)
- Journals
- JAMA Network Open (1 paper)PLoS Computational Biology (1 paper)Social Networks (1 paper)PLoS Medicine (1 paper)eLife (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Valentin Danchev
9 papers receiving 222 citations
Peers
Comparison fields: 5 of 83
- Statistics, Probability and Uncertainty 49
- Health Informatics 8
- Information Systems and Management 35
- Information Systems 41
- Transportation 10
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 | 61 | |
| 2 | 2021 | 48 | |
| 3 | 2017 | 39 | |
| 4 | 2022 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2021 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2022 | 3 |
About Valentin Danchev
Valentin Danchev is a scholar working on Information Systems and Management, Artificial Intelligence, Sociology and Political Science, Information Systems and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 227 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (4 papers), Research Data Management Practices (2 papers), Diaspora, migration, transnational identity (1 paper), Regional Economics and Spatial Analysis (1 paper), Health and Medical Research Impacts (1 paper), Migration and Labor Dynamics (1 paper), Topic Modeling (1 paper) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (49 citations), Health Informatics (8 citations), Information Systems and Management (35 citations), Information Systems (41 citations) and Transportation (10 citations). Valentin Danchev has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mason A. Porter, John P. A. Ioannidis, Mike Baiocchi, John Borghi, Perrine Janiaud, Stylianos Serghiou, Sophia Crüwell, Steven N. Goodman, Tom E Hardwicke and James A. Evans. Their work appears in journals such as JAMA Network Open, PLoS Computational Biology, Social Networks, PLoS Medicine and eLife.
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.