Nina Glutsch

14 total papers · 1.6k total citations
11 papers, 1.1k citations indexed

About

Nina Glutsch is a scholar working on Education, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Nina Glutsch has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Education, 3 papers in Sociology and Political Science and 2 papers in Social Psychology. Recurrent topics in Nina Glutsch's work include Education Methods and Technologies (3 papers), Sociology and Education Studies (3 papers) and Motivation and Self-Concept in Sports (2 papers). Nina Glutsch is often cited by papers focused on Education Methods and Technologies (3 papers), Sociology and Education Studies (3 papers) and Motivation and Self-Concept in Sports (2 papers). Nina Glutsch collaborates with scholars based in Germany. Nina Glutsch's co-authors include Johannes König, Daniela Jäger-Biela, Christiane Buchholtz, Albert Bremerich-Vos, Martin Rothland, Michael Becker-Mrotzek, Alfred Schabmann, Birgit Träuble and Sarah Strauß and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Curriculum Studies and European Journal of Teacher Education.

In The Last Decade

Nina Glutsch

10 papers receiving 1000 citations

Hit Papers

Adapting to online teachi... 2020 2026 2022 2024 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Nina Glutsch 780 411 243 115 101 11 1.1k
Daniela Jäger-Biela 667 0.9× 407 1.0× 237 1.0× 86 0.7× 79 0.8× 9 961
Roshan Chhetri 670 0.9× 293 0.7× 380 1.6× 120 1.0× 132 1.3× 10 1.3k
Jürgen Rudolph 717 0.9× 350 0.9× 384 1.6× 136 1.2× 127 1.3× 11 1.3k
A. Patricia Aguilera-Hermida 587 0.8× 265 0.6× 323 1.3× 118 1.0× 97 1.0× 5 956
Matt Glowatz 697 0.9× 359 0.9× 361 1.5× 127 1.1× 133 1.3× 12 1.2k
Wahab Ali 636 0.8× 336 0.8× 246 1.0× 83 0.7× 74 0.7× 9 1.0k
Sumitra Pokhrel 671 0.9× 294 0.7× 380 1.6× 120 1.0× 135 1.3× 5 1.3k
Cathy Mae Dabi Toquero 779 1.0× 397 1.0× 438 1.8× 119 1.0× 136 1.3× 32 1.4k
Damijana Keržič 561 0.7× 306 0.7× 511 2.1× 174 1.5× 113 1.1× 17 1.3k
Tiziana Guzzo 534 0.7× 334 0.8× 198 0.8× 75 0.7× 182 1.8× 25 1.1k

Countries citing papers authored by Nina Glutsch

Since Specialization
Citations

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

Fields of papers citing papers by Nina Glutsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Glutsch

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