Nonna Mayer

3.4k total citations · 1 hit paper
89 papers, 1.1k citations indexed

About

Nonna Mayer is a scholar working on Sociology and Political Science, Political Science and International Relations and History. According to data from OpenAlex, Nonna Mayer has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Sociology and Political Science, 40 papers in Political Science and International Relations and 10 papers in History. Recurrent topics in Nonna Mayer's work include Education, sociology, and vocational training (30 papers), Multiculturalism, Politics, Migration, Gender (27 papers) and French Urban and Social Studies (16 papers). Nonna Mayer is often cited by papers focused on Education, sociology, and vocational training (30 papers), Multiculturalism, Politics, Migration, Gender (27 papers) and French Urban and Social Studies (16 papers). Nonna Mayer collaborates with scholars based in France, United States and Switzerland. Nonna Mayer's co-authors include Pascal Perrineau, Bob Altemeyer, Olivier Fillieule, Jan Rovný, Bruno Palier, Alain Blanchet, Pierre Bourdıeu, Alexandre Dézé, Sidney Tarrow and Pierre Favre and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cities and International Journal of Urban and Regional Research.

In The Last Decade

Nonna Mayer

80 papers receiving 934 citations

Hit Papers

The “losers of automation”: A reservoir of votes for the ... 2019 2026 2021 2023 2019 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The “losers of automation”: A reservoir of votes for the radical right?
    2019 100 citations Nonna Mayer, Jan Rovný et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nonna Mayer France 17 701 650 78 77 74 89 1.1k
Abby Peterson Sweden 13 366 0.5× 274 0.4× 59 0.8× 80 1.0× 39 0.5× 46 607
Timothy Garton Ash France 15 592 0.8× 518 0.8× 36 0.5× 36 0.5× 108 1.5× 47 976
Elia Zureik Canada 14 747 1.1× 229 0.4× 61 0.8× 40 0.5× 24 0.3× 70 943
Nancy L. Rosenblum United States 17 612 0.9× 667 1.0× 140 1.8× 36 0.5× 28 0.4× 55 1.1k
Umut Korkut United Kingdom 16 324 0.5× 383 0.6× 89 1.1× 109 1.4× 29 0.4× 57 667
Ami Pedahzur Israel 21 1.1k 1.5× 375 0.6× 71 0.9× 47 0.6× 119 1.6× 70 1.3k
Michael Parenti United States 15 451 0.6× 275 0.4× 223 2.9× 56 0.7× 28 0.4× 57 873
Catherine Corrigall‐Brown Canada 14 519 0.7× 204 0.3× 234 3.0× 61 0.8× 25 0.3× 25 757
Sanford Levinson United States 15 410 0.6× 485 0.7× 18 0.2× 35 0.5× 89 1.2× 143 1.0k
James A. Geschwender United States 15 494 0.7× 236 0.4× 61 0.8× 53 0.7× 77 1.0× 40 754

Countries citing papers authored by Nonna Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Nonna Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nonna Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Nonna Mayer. A scholar is included among the top collaborators of Nonna Mayer 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 Nonna Mayer. Nonna Mayer 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.
Mayer, Nonna, et al.. (2022). Political science communities challenged by internationalisation. European Political Science. 21(4). 610–626. 1 indexed citations
2.
Déloye, Yves & Nonna Mayer. (2019). Les trois défis de la science politique française : retour sur la période 1968-2018. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
3.
Mayer, Nonna, et al.. (2018). L’impact du genre sur le vote Marine Le Pen. Revue française de science politique. Vol. 67(6). 1067–1087. 18 indexed citations
4.
Mayer, Nonna. (2017). From Left to Far Right. SPIRE (Sciences Po). 25(1). 155–155. 1 indexed citations
5.
Mayer, Nonna, Guy Michelat, Vincent Tiberj, & Tommaso Vitale. (2016). Le regard des chercheurs sur les différentes formes de préjugés. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
6.
Mayer, Nonna, et al.. (2015). Outsiderness, Social Class, and Votes in the 2014 European Elections. Revue européenne des sciences sociales. 53-1. 157–176. 6 indexed citations
7.
Mayer, Nonna & Nicolas Sauger. (2015). Présentation. Revue européenne des sciences sociales. 53-1. 17–19.
8.
Mayer, Nonna. (2014). Bring the Poor Back In! Inequalities, Welfare and Politics. European Political Science. 13(2). 187–200. 9 indexed citations
9.
Tiberj, Vincent, et al.. (2013). Un choix, des logiques multiples. Revue française de science politique. Vol. 63(2). 249–278. 6 indexed citations
10.
Mayer, Nonna. (2011). Why Extremes Don’t Meet: Le Pen and Besancenot Voters in the 2007 French Presidential Election. French Politics Culture & Society. 29(3). 13 indexed citations
11.
Mayer, Nonna. (2007). Comment Nicolas Sarkozy a rétréci l'électorat Le Pen. Revue française de science politique. Vol. 57(3). 429–445. 35 indexed citations
12.
Mayer, Nonna, et al.. (2004). Avec ceux du FN: un sociologue au Front national. Revue Française de Sociologie. 45(2). 402–402. 10 indexed citations
13.
Mayer, Nonna. (2002). Les hauts et les bas du vote Le Pen 2002. Revue française de science politique. 52(5). 505–520. 10 indexed citations
14.
Mayer, Nonna. (1998). La perception de l’Autre. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
15.
Mayer, Nonna, Pierre Favre, & Olivier Fillieule. (1997). La fin d'une étrange lacune de la sociologie des mobilisations.. Revue française de science politique. Vol. 47(1). 3–28. 4 indexed citations
16.
Mayer, Nonna & Pascal Perrineau. (1992). Why do they vote for Le Pen?. European Journal of Political Research. 22(1). 123–141. 99 indexed citations
17.
Mayer, Nonna. (1991). B Orfali. L'adhésion au Front national. De la minorité active au mouvement social. Revue française de science politique. 41(3). 414–415. 1 indexed citations
18.
Mayer, Nonna, et al.. (1984). Histoire et histoires de vie, la méthode biographique dans les sciences sociales. Revue Française de Sociologie. 25(3). 504–504. 2 indexed citations
19.
Mayer, Nonna. (1981). Current LTA technology developments.
20.
Mayer, Nonna. (1974). Boudon (Raymond) - L'inégalité des chances, La mobilité sociale dans les sociétés industrielles.. Persée (Ministère de lEnseignement supérieur et de la Recherche). 1 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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