Marii Paškov

31 total papers · 576 total citations
20 papers, 303 citations indexed

About

Marii Paškov is a scholar working on Sociology and Political Science, Political Science and International Relations and General Health Professions. According to data from OpenAlex, Marii Paškov has authored 20 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 10 papers in Political Science and International Relations and 7 papers in General Health Professions. Recurrent topics in Marii Paškov's work include Social Policy and Reform Studies (9 papers), Intergenerational and Educational Inequality Studies (9 papers) and Employment and Welfare Studies (7 papers). Marii Paškov is often cited by papers focused on Social Policy and Reform Studies (9 papers), Intergenerational and Educational Inequality Studies (9 papers) and Employment and Welfare Studies (7 papers). Marii Paškov collaborates with scholars based in United Kingdom, Netherlands and Belgium. Marii Paškov's co-authors include Caroline Dewilde, Erzsébet Bukodi, Brian Nolan, Lindsay Richards, Klarita Gërxhani, Herman G. van de Werfhorst, David Weisstanner, Patrick Präg, Ferry Koster and Tim Goedemé and has published in prestigious journals such as Social Science & Medicine, Social Forces and Social Indicators Research.

In The Last Decade

Marii Paškov

17 papers receiving 285 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marii Paškov	201	83	74	66	62	20	303
Petra Böhnke	192 1.0×	61 0.7×	106 1.4×	119 1.8×	103 1.7×	27	334
Lindsay Richards	208 1.0×	58 0.7×	46 0.6×	64 1.0×	93 1.5×	27	348
Heikki Ervasti	122 0.6×	70 0.8×	61 0.8×	81 1.2×	46 0.7×	14	246
Juan Diego García‐Castro	209 1.0×	52 0.6×	153 2.1×	58 0.9×	27 0.4×	28	334
Jesús Manuel de Miguel Rodríguez	96 0.5×	38 0.5×	58 0.8×	78 1.2×	38 0.6×	22	295
Margret Fine‐Davis	183 0.9×	25 0.3×	45 0.6×	59 0.9×	30 0.5×	27	333
L. Richard Della Fave	222 1.1×	69 0.8×	55 0.7×	27 0.4×	23 0.4×	22	351
Heinz Bude	172 0.9×	63 0.8×	45 0.6×	51 0.8×	49 0.8×	33	304
Takis Venetoklis	100 0.5×	35 0.4×	70 0.9×	80 1.2×	45 0.7×	14	235
Steve Derné	136 0.7×	43 0.5×	43 0.6×	21 0.3×	32 0.5×	21	336

Countries citing papers authored by Marii Paškov

Since Specialization

Citations

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

Fields of papers citing papers by Marii Paškov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marii Paškov

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

All Works

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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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