Sergei Scherbov

6.2k total citations · 1 hit paper
112 papers, 3.8k citations indexed

About

Sergei Scherbov is a scholar working on Demography, General Health Professions and Health. According to data from OpenAlex, Sergei Scherbov has authored 112 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Demography, 62 papers in General Health Professions and 33 papers in Health. Recurrent topics in Sergei Scherbov's work include Insurance, Mortality, Demography, Risk Management (73 papers), Global Health Care Issues (61 papers) and Health disparities and outcomes (33 papers). Sergei Scherbov is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (73 papers), Global Health Care Issues (61 papers) and Health disparities and outcomes (33 papers). Sergei Scherbov collaborates with scholars based in Austria, United States and Russia. Sergei Scherbov's co-authors include Warren C. Sanderson, Wolfgang Lutz, Brian C. O’Neill, Stuart Gietel‐Basten, Dalkhat M. Ediev, Guillaume Marois, Raya Muttarak, Simone Ghislandi, V. Chirkov and Arnulf Grübler and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

Sergei Scherbov

107 papers receiving 3.4k citations

Hit Papers

The coming acceleration of global population ageing 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sergei Scherbov Austria 26 1.5k 1.3k 641 542 513 112 3.8k
Warren C. Sanderson United States 30 1.5k 1.1× 1.4k 1.1× 584 0.9× 725 1.3× 857 1.7× 112 4.2k
John R. Wilmoth United States 27 1.4k 1.0× 1.5k 1.2× 991 1.5× 180 0.3× 201 0.4× 44 3.5k
Danan Gu United States 41 973 0.7× 1.4k 1.1× 2.1k 3.2× 1.2k 2.2× 435 0.8× 126 5.6k
Bo Malmberg Sweden 38 625 0.4× 1.1k 0.9× 808 1.3× 1.5k 2.8× 918 1.8× 167 4.4k
Björn Lindgren Sweden 29 425 0.3× 845 0.7× 356 0.6× 745 1.4× 1.0k 2.0× 81 3.7k
Paul Norman United Kingdom 41 536 0.4× 1.7k 1.3× 1.3k 2.1× 1.5k 2.7× 341 0.7× 213 6.2k
Frans Willekens Netherlands 28 788 0.5× 512 0.4× 280 0.4× 701 1.3× 377 0.7× 144 3.2k
Jinkook Lee United States 40 515 0.4× 730 0.6× 767 1.2× 859 1.6× 765 1.5× 233 4.7k
Eric Stallard United States 35 2.2k 1.5× 2.5k 2.0× 1.8k 2.9× 443 0.8× 933 1.8× 141 6.1k
Anne Kavanagh Australia 48 647 0.4× 2.1k 1.7× 1.5k 2.4× 881 1.6× 286 0.6× 274 7.3k

Countries citing papers authored by Sergei Scherbov

Since Specialization
Citations

This map shows the geographic impact of Sergei Scherbov'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 Sergei Scherbov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergei Scherbov more than expected).

Fields of papers citing papers by Sergei Scherbov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergei Scherbov. 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 Sergei Scherbov. The network helps show where Sergei Scherbov may publish in the future.

Co-authorship network of co-authors of Sergei Scherbov

This figure shows the co-authorship network connecting the top 25 collaborators of Sergei Scherbov. A scholar is included among the top collaborators of Sergei Scherbov 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 Sergei Scherbov. Sergei Scherbov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Scherbov, Sergei & Warren C. Sanderson. (2025). Aging and age selectivity: Exploring differences across time and space. The Journal of the Economics of Ageing. 31. 100574–100574.
2.
Sanderson, Warren C. & Sergei Scherbov. (2023). The effect of the COVID-19 pandemic on life expectancy in the USA: An application of hybrid life expectancy. Biology Methods and Protocols. 8(1). bpad025–bpad025. 1 indexed citations
4.
Sanderson, Warren C., Sergei Scherbov, Brian C. O’Neill, & Wolfgang Lutz. (2021). Conditional Probabilistic Population Forecasting. Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften). 1. 1–15. 4 indexed citations
5.
Tasoulis, Sotiris K., Aristidis G. Vrahatis, Spiros V. Georgakopoulos, et al.. (2021). Enhancing the Human Health Status Prediction: The ATHLOS Project. Applied Artificial Intelligence. 35(11). 834–856.
6.
Sanderson, Warren C. & Sergei Scherbov. (2020). Choosing between the UN’s alternative views of population aging. PLoS ONE. 15(7). e0233602–e0233602. 4 indexed citations
7.
Marois, Guillaume, Raya Muttarak, & Sergei Scherbov. (2020). Assessing the potential impact of COVID-19 on life expectancy. PLoS ONE. 15(9). e0238678–e0238678. 78 indexed citations
8.
Sanderson, Warren C. & Sergei Scherbov. (2019). Prospective Longevity A New Vision of Population Aging. IIASA PURE (International Institute of Applied Systems Analysis). 16 indexed citations
9.
Sánchez‐Niubò, Albert, Beatriz Olaya, Francisco Félix Caballero, et al.. (2019). Cohort Profile: The Ageing Trajectories of Health – Longitudinal Opportunities and Synergies (ATHLOS) project. International Journal of Epidemiology. 48(4). 1052–1053i. 33 indexed citations
10.
Ediev, Dalkhat M., Warren C. Sanderson, & Sergei Scherbov. (2018). The inverse relationship between life expectancy-induced changes in the old-age dependency ratio and the prospective old-age dependency ratio. Theoretical Population Biology. 125. 1–10. 10 indexed citations
11.
Scherbov, Sergei & Daniela Weber. (2017). Future trends in the prevalence of severe activity limitations among older adults in Europe: a cross-national population study using EU-SILC. BMJ Open. 7(9). e017654–e017654. 9 indexed citations
12.
Scherbov, Sergei & Warren C. Sanderson. (2017). Vienna Yearbook of Population Research 2016. IIASA PURE (International Institute of Applied Systems Analysis). 43 indexed citations
13.
Sanderson, Warren C., Sergei Scherbov, & Patrick Gerland. (2017). Probabilistic population aging. PLoS ONE. 12(6). e0179171–e0179171. 35 indexed citations
14.
Scherbov, Sergei & Dalkhat M. Ediev. (2016). Does selection of mortality model make a difference in projecting population ageing?. Demographic Research. 34. 39–62. 3 indexed citations
15.
Sanderson, Warren C. & Sergei Scherbov. (2010). Remeasuring Aging. Science. 329(5997). 1287–1288. 169 indexed citations
16.
Lutz, Wolfgang, William C. Sanderson, & Sergei Scherbov. (2008). Demographic and Human-Capital Trends in Eastern Europe and Sub-Saharan Africa. IIASA PURE (International Institute of Applied Systems Analysis). 3 indexed citations
17.
Sanderson, Warren C., Sergei Scherbov, Lutz Walter, & Brian C. O’Neill. (2004). Applications of probabilistic population forecasting. IIASA PURE (International Institute of Applied Systems Analysis). 3 indexed citations
18.
Lutz, Wolfgang & Sergei Scherbov. (2003). Will Population Ageing Necessarily Lead to an Increase in the Number of Persons with Disabilities? Alternative Scenarios for the European Union. SHILAP Revista de lepidopterología. 6 indexed citations
19.
Scherbov, Sergei, et al.. (2002). Period Fertility in Russia since 1930. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Lutz, Wolfgang, et al.. (2000). Population, Natural Resources and Food Security Lessons from Comparing Full and Reduced Form Models. Population and Development Review. 28. 199–224. 12 indexed citations

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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