Iva Tasseva

578 total citations
14 papers, 253 citations indexed

About

Iva Tasseva is a scholar working on Sociology and Political Science, Economics and Econometrics and Gender Studies. According to data from OpenAlex, Iva Tasseva has authored 14 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 7 papers in Economics and Econometrics and 5 papers in Gender Studies. Recurrent topics in Iva Tasseva's work include Income, Poverty, and Inequality (10 papers), Gender, Labor, and Family Dynamics (5 papers) and Social Policy and Reform Studies (3 papers). Iva Tasseva is often cited by papers focused on Income, Poverty, and Inequality (10 papers), Gender, Labor, and Family Dynamics (5 papers) and Social Policy and Reform Studies (3 papers). Iva Tasseva collaborates with scholars based in United Kingdom, United States and Italy. Iva Tasseva's co-authors include Mike Brewer, Holly Sutherland, Alari Paulus, Chrysa Leventi, Anthony B. Atkinson, Brian Nolan, Olga Cantó, H. Xavier Jara, Carlo V. Fiorio and Sarah Marchal and has published in prestigious journals such as Public Opinion Quarterly, Journal of Comparative Economics and Oxford Bulletin of Economics and Statistics.

In The Last Decade

Iva Tasseva

14 papers receiving 227 citations

Peers

Iva Tasseva
Alari Paulus United Kingdom
Jonathan Cribb United Kingdom
David Gray Canada
Gemma Tetlow United Kingdom
Chrysa Leventi United Kingdom
Iva Tasseva
Citations per year, relative to Iva Tasseva Iva Tasseva (= 1×) peers Michael Christl

Countries citing papers authored by Iva Tasseva

Since Specialization
Citations

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

Fields of papers citing papers by Iva Tasseva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iva Tasseva

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

All Works

14 of 14 papers shown
1.
Bollinger, Christopher R. & Iva Tasseva. (2023). Income Source Confusion Using the SILC. Public Opinion Quarterly. 87(S1). 542–574. 2 indexed citations
2.
Brewer, Mike & Iva Tasseva. (2021). Did the UK policy response to Covid-19 protect household incomes?. The Journal of Economic Inequality. 19(3). 433–458. 50 indexed citations
3.
Cantó, Olga, Francesco Figari, Carlo V. Fiorio, et al.. (2021). Welfare Resilience at the Onset of the COVID‐19 Pandemic in a Selection of European Countries: Impact on Public Finance and Household Incomes. Review of Income and Wealth. 68(2). 293–322. 43 indexed citations
4.
Jara, H. Xavier, et al.. (2021). The Role of Automatic Stabilizers and Emergency Tax–Benefit Policies During the COVID-19 Pandemic: Evidence from Ecuador. European Journal of Development Research. 34(6). 2787–2809. 11 indexed citations
5.
Jara, H. Xavier, et al.. (2021). The role of automatic stabilizers and emergency tax–benefit policies during the COVID-19 pandemic in Ecuador. Working Paper Series. 5 indexed citations
6.
Tasseva, Iva. (2020). The Changing Education Distribution and Income Inequality in Great Britain. Review of Income and Wealth. 67(3). 659–683. 8 indexed citations
7.
Paulus, Alari & Iva Tasseva. (2020). Europe Through the Crisis: Discretionary Policy Changes and Automatic Stabilizers. Oxford Bulletin of Economics and Statistics. 82(4). 864–888. 30 indexed citations
8.
Brewer, Mike & Iva Tasseva. (2020). Did the UK Policy Response to COVID-19 Protect Household Incomes?. SSRN Electronic Journal. 11 indexed citations
9.
Paulus, Alari, Holly Sutherland, & Iva Tasseva. (2019). Indexing Out of Poverty? Fiscal Drag and Benefit Erosion in Cross‐National Perspective. Review of Income and Wealth. 66(2). 311–333. 8 indexed citations
10.
Leventi, Chrysa, Holly Sutherland, & Iva Tasseva. (2018). Improving poverty reduction in Europe: What works best where?. Journal of European Social Policy. 29(1). 29–43. 29 indexed citations
11.
Atkinson, Anthony B., Chrysa Leventi, Brian Nolan, Holly Sutherland, & Iva Tasseva. (2017). Reducing poverty and inequality through tax-benefit reform and the minimum wage: the UK as a case-study. The Journal of Economic Inequality. 15(4). 303–323. 30 indexed citations
13.
Tasseva, Iva. (2016). Evaluating the performance of means-tested benefits in Bulgaria. Journal of Comparative Economics. 44(4). 919–935. 15 indexed citations
14.
Hills, John, Alari Paulus, Holly Sutherland, & Iva Tasseva. (2014). A lost decade? Decomposing the effect of 2001-11 tax-benefit policy changes on the income distribution in EU countries. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 10 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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