Inari Sakki

77 total papers · 1.4k total citations
47 papers, 610 citations indexed

About

Inari Sakki is a scholar working on Social Psychology, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Inari Sakki has authored 47 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Social Psychology, 16 papers in Sociology and Political Science and 12 papers in Political Science and International Relations. Recurrent topics in Inari Sakki's work include Social Representations and Identity (11 papers), Populism, Right-Wing Movements (10 papers) and Educator Training and Historical Pedagogy (8 papers). Inari Sakki is often cited by papers focused on Social Representations and Identity (11 papers), Populism, Right-Wing Movements (10 papers) and Educator Training and Historical Pedagogy (8 papers). Inari Sakki collaborates with scholars based in Finland, France and Portugal. Inari Sakki's co-authors include Katarina Pettersson, Jari Martikainen, Eemeli Hakoköngäs, Anna‐Maija Pirttilä‐Backman, Karmela Liebkind, Isabel Miguel, Joaquim Pires Valentim, Pekka Hakkarainen, Ignacio Brescó de Luna and Tibor Pólya and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Social Psychology and British Journal of Social Psychology.

In The Last Decade

Inari Sakki

41 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
Inari Sakki	305	171	150	142	106	47	610
Andrew Jakubowicz	415 1.4×	45 0.3×	177 1.2×	80 0.6×	87 0.8×	52	669
Randall G. Rogan	294 1.0×	218 1.3×	156 1.0×	45 0.3×	28 0.3×	26	574
Simon Ozer	389 1.3×	215 1.3×	121 0.8×	48 0.3×	27 0.3×	43	653
Matteo Vergani	433 1.4×	113 0.7×	101 0.7×	61 0.4×	103 1.0×	50	663
Cristian Tileagă	328 1.1×	151 0.9×	49 0.3×	65 0.5×	37 0.3×	46	605
Christine E. Meltzer	470 1.5×	53 0.3×	202 1.3×	119 0.8×	30 0.3×	20	648
Francis Dalisay	350 1.1×	71 0.4×	326 2.2×	68 0.5×	46 0.4×	43	609
Nicholas A. Palomares	317 1.0×	238 1.4×	111 0.7×	24 0.2×	67 0.6×	35	687
Natalie Pennington	298 1.0×	121 0.7×	161 1.1×	24 0.2×	47 0.4×	29	524
Paul Iganski	389 1.3×	94 0.5×	22 0.1×	85 0.6×	115 1.1×	45	589

Countries citing papers authored by Inari Sakki

Since Specialization

Citations

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

Fields of papers citing papers by Inari Sakki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inari Sakki

This figure shows the co-authorship network connecting the top 25 collaborators of Inari Sakki. A scholar is included among the top collaborators of Inari Sakki 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 Inari Sakki. Inari Sakki 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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