Elena Moltchanova

6.2k citations
130 papers · 3.3k indexed · 1 hit paper · h-index 28

Elena Moltchanova

123 papers receiving 3.1k citations

Hit Papers

Incidence of childhood type 1 diabetes worldwide. Diabete...7322000202620082017200400600

Peers

Elena Moltchanova
Comparison fields: 5 of 192
  • Statistics, Probability and Uncertainty 392
  • Statistics and Probability 380
  • Endocrinology, Diabetes and Metabolism 759
  • Genetics 857
  • Global and Planetary Change 399
Replace D. Stasinopoulos with:
D. Stasinopoulos United Kingdom
Nathaniel Schenker United States
Nicholas Barrowman Canada
Denis Hémon France
Robert A. Rigby United Kingdom
Markus Neuhäuser Germany
Daniel J. Stekhoven Switzerland
Peter Dalgaard Denmark
J. P. Royston United Kingdom
Thomas W. Yee New Zealand
Elena Moltchanova relative to D. Stasinopoulos United Kingdom D. Stasinopoulos's profile →
Citations per field
00.5×9.3×
D. Stasinopoulos · 1×
Citations per year

Countries citing papers authored by Elena Moltchanova

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Elena Moltchanova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Elena Moltchanova Line = papers co-authored together Elena Moltchanova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 20223
5 20221
6 202246
7 20223
8 20205
9 20195
10 201813
11
Incentive to vaccinate: A synthesis of two approaches
20155
12 20157
13 201411
14 20138
15 201313
16 201212
17 20116
18 200772
19 200313
20 200217

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), Statistical Distribution Estimation and Applications (13 papers), Scientific Measurement and Uncertainty Evaluation (10 papers), Ecology and Vegetation Dynamics Studies (10 papers), Birth, Development, and Health (9 papers), Diabetes Management and Research (8 papers) and Diabetes and associated disorders (7 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.

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