Elena Moltchanova
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Global and Planetary Change top 5%
- Statistics, Probability and Uncertainty top 0.5%
- Co-authors
- Jennifer BrownAbdul HaqJ. TuomilehtoM. J. KarvonenIngrid LibmanR. E LaporteM. KarvonenChristoph Bartneck
- Topics
- Advanced Statistical Process Monitoring (16 papers)Advanced Statistical Methods and Models (16 papers)Statistical Distribution Estimation and Applications (13 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityEndocrinology, Diabetes and Metabolism
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- New ZealandFinlandAustria
In The Last Decade
Elena Moltchanova
123 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Genetics 857
- Endocrinology, Diabetes and Metabolism 759
- Surgery 508
- Global and Planetary Change 399
- Statistics, Probability and Uncertainty 392
Countries citing papers authored by Elena Moltchanova
This map shows the geographic impact of Elena Moltchanova'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 Elena Moltchanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Moltchanova more than expected).
Fields of papers citing papers by Elena Moltchanova
This network shows the impact of papers produced by Elena Moltchanova. 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 Elena Moltchanova. The network helps show where Elena Moltchanova may publish in the future.
Co-authorship network of co-authors of Elena Moltchanova
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Moltchanova. A scholar is included among the top collaborators of Elena Moltchanova 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 Elena Moltchanova. Elena Moltchanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 46 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | Incentive to vaccinate: A synthesis of two approaches | 5 |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | 72 | |
| 19 | 13 | |
| 20 | 17 |
About Elena Moltchanova
Elena Moltchanova is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Nature and Landscape Conservation, having authored 130 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (16 papers), Advanced Statistical Methods and Models (16 papers) and Statistical Distribution Estimation and Applications (13 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (392 citations), Statistics and Probability (380 citations) and Endocrinology, Diabetes and Metabolism (759 citations). Elena Moltchanova has collaborated with scholars based in New Zealand, Finland and Austria. Frequent co-authors include Jennifer Brown, Abdul Haq, J. Tuomilehto, M. J. Karvonen, Ingrid Libman, R. E Laporte, M. Karvonen, Christoph Bartneck, Karolina Zawieska and Andreas Duenser. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.