Eva Sierminska

1.5k total citations
63 papers, 692 citations indexed

About

Eva Sierminska is a scholar working on Economics and Econometrics, Accounting and Finance. According to data from OpenAlex, Eva Sierminska has authored 63 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Economics and Econometrics, 27 papers in Accounting and 19 papers in Finance. Recurrent topics in Eva Sierminska's work include Financial Literacy, Pension, Retirement Analysis (27 papers), Housing Market and Economics (19 papers) and Housing, Finance, and Neoliberalism (17 papers). Eva Sierminska is often cited by papers focused on Financial Literacy, Pension, Retirement Analysis (27 papers), Housing Market and Economics (19 papers) and Housing, Finance, and Neoliberalism (17 papers). Eva Sierminska collaborates with scholars based in Germany, Luxembourg and United States. Eva Sierminska's co-authors include Timothy M. Smeeding, Markus M. Grabka, Andrea Brandolini, Karina Doorley, Jan Marcus, Janet C. Gornick, Yvonne McCarthy, Philip Du Caju, Panagiota Tzamourani and Olympia Bover and has published in prestigious journals such as PLoS ONE, The Journals of Gerontology Series B and Economics Letters.

In The Last Decade

Eva Sierminska

60 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Sierminska Germany 15 322 261 240 188 112 63 692
Luc Arrondel France 18 494 1.5× 402 1.5× 225 0.9× 231 1.2× 127 1.1× 91 898
Jeffrey P. Thompson United States 15 481 1.5× 355 1.4× 214 0.9× 246 1.3× 145 1.3× 40 805
Markus Knell Austria 14 357 1.1× 170 0.7× 77 0.3× 179 1.0× 121 1.1× 29 725
Therese Jefferson Australia 14 162 0.5× 107 0.4× 95 0.4× 137 0.7× 226 2.0× 72 601
Irena Grosfeld France 14 309 1.0× 218 0.8× 88 0.4× 309 1.6× 34 0.3× 42 798
Matti Sarvimäki Finland 14 180 0.6× 89 0.3× 70 0.3× 318 1.7× 86 0.8× 35 551
Toshiaki Tachibanaki Japan 14 277 0.9× 85 0.3× 67 0.3× 172 0.9× 74 0.7× 58 555
Ngina Chiteji United States 10 228 0.7× 242 0.9× 99 0.4× 233 1.2× 83 0.7× 17 541
Philipp M. Lersch Germany 19 183 0.6× 130 0.5× 245 1.0× 447 2.4× 124 1.1× 48 818
Claudia Sahm United States 10 326 1.0× 261 1.0× 99 0.4× 67 0.4× 79 0.7× 24 551

Countries citing papers authored by Eva Sierminska

Since Specialization
Citations

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

Fields of papers citing papers by Eva Sierminska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Sierminska

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Sierminska. A scholar is included among the top collaborators of Eva Sierminska 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 Eva Sierminska. Eva Sierminska 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.
Oaxaca, Ronald L. & Eva Sierminska. (2025). Oaxaca-Blinder meets Kitagawa: What is the link?. PLoS ONE. 20(5). e0321874–e0321874. 1 indexed citations
2.
Bartels, Charlotte, Eva Sierminska, & Carsten Schröder. (2024). Wealth creators or inheritors? Unpacking the gender wealth gap from bottom to top and young to old. Economics Letters. 246. 111997–111997.
3.
Sierminska, Eva, et al.. (2023). Geocoded Tax Data for the German Interwar Period: A Novel Database for Regional Analyses. SSRN Electronic Journal. 2 indexed citations
4.
Grabka, Markus M., et al.. (2022). Pension Wealth and the Gender Wealth Gap. European Journal of Population / Revue européenne de Démographie. 38(4). 755–810. 18 indexed citations
5.
Sierminska, Eva & Ronald L. Oaxaca. (2022). Gender Differences in Economics Phd Field Specializations with Correlated Choices. SSRN Electronic Journal. 1 indexed citations
6.
Gornick, Janet C. & Eva Sierminska. (2021). Wealth accumulation and retirement preparedness in cross-national perspective: A gendered analysis of outcomes among single adults. Journal of European Social Policy. 31(5). 549–564. 7 indexed citations
7.
Sierminska, Eva, et al.. (2020). Career or Flexible Work Arrangements? Gender Differences in Self-employment in a Young Market Economy. Journal of Family and Economic Issues. 41(1). 70–95. 12 indexed citations
8.
Sierminska, Eva, et al.. (2017). Editorial to the Special Issue “The role of administrative data in empirical inequality research”. Journal of Income Distribution. 25(1). 1–3. 3 indexed citations
9.
Doorley, Karina & Eva Sierminska. (2015). Myth or fact? The beauty premium across the wage distribution in Germany. Economics Letters. 129. 29–34. 42 indexed citations
10.
Jäntti, Markus, Eva Sierminska, & Philippe Van Kerm. (2015). Modelling the Joint Distribution of Income and Wealth. SSRN Electronic Journal. 301–327. 1 indexed citations
11.
Bover, Olympia, José María Casado, Sónia Costa, et al.. (2013). The distribution of debt across euro area countries : The role of individual characteristics, institutions and credit conditions. National Bank of Belgium Working Paper No. 252, December 2013. Journal of Neurosurgical Anesthesiology. 11(2). 119–23. 2 indexed citations
12.
Bover, Olympia, José María Casado, Sónia Costa, et al.. (2013). The Distribution of Debt Across Euro Area Countries: The Role of Individual Characteristics, Institutions and Credit Conditions. SSRN Electronic Journal. 41 indexed citations
13.
Sierminska, Eva, et al.. (2012). Financial and Housing Wealth and Consumption Spending: Cross-Country and Age Group Comparisons. Housing Studies. 27(5). 685–719. 26 indexed citations
14.
Sierminska, Eva, et al.. (2012). Distributional Impact of the Great Recession on Industry Unemployment for 1976-2011. SSRN Electronic Journal. 1 indexed citations
15.
Sierminska, Eva, et al.. (2011). The Immigrant/Native Wealth Gap in Germany, Italy and Luxembourg. SSRN Electronic Journal. 1 indexed citations
16.
Gornick, Janet C., Eva Sierminska, & Timothy M. Smeeding. (2009). The Income and Wealth Packages of Older Women in Cross-National Perspective. The Journals of Gerontology Series B. 64B(3). 402–414. 35 indexed citations
17.
Sierminska, Eva, et al.. (2008). The Effect of Wealth on Consumption Expenditures: Cross Country and Cross Socio-Demographic Group Comparisons. RePEc: Research Papers in Economics. 20(20). 68–95. 1 indexed citations
18.
Sierminska, Eva, et al.. (2007). Disentangling the wealth effect: some international evidence. FRB SF weekly letter. 7 indexed citations
19.
Oldfield, Zoë & Eva Sierminska. (2007). Differences in the Measurement and Structure of Wealth Using Alternative Data Sources: The Case of the UK. SSRN Electronic Journal. 1 indexed citations
20.
Sierminska, Eva, Andrea Brandolini, & Timothy M. Smeeding. (2006). Comparing Wealth Distribution Across Rich Countries: First Results from the Luxembourg Wealth Study. SSRN Electronic Journal. 18 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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