Magda Pischetola

66 total papers · 532 total citations
41 papers, 229 citations indexed

About

Magda Pischetola is a scholar working on Education, Sociology and Political Science and Information Systems. According to data from OpenAlex, Magda Pischetola has authored 41 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Education, 25 papers in Sociology and Political Science and 8 papers in Information Systems. Recurrent topics in Magda Pischetola's work include Education and Digital Technologies (17 papers), Education Pedagogy and Practices (11 papers) and Online and Blended Learning (5 papers). Magda Pischetola is often cited by papers focused on Education and Digital Technologies (17 papers), Education Pedagogy and Practices (11 papers) and Online and Blended Learning (5 papers). Magda Pischetola collaborates with scholars based in Brazil, Denmark and Kazakhstan. Magda Pischetola's co-authors include Olivier Driessens, Lone Malmborg, Claus Brabrand, Paweł Grabarczyk, Björn Þór Jónsson, Mats Daniels, Lone Dirckinck‐Holmfeld and Morten Misfeldt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Education and Information Technologies and International Journal of Educational Technology in Higher Education.

In The Last Decade

Magda Pischetola

37 papers receiving 214 citations

Author Peers

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

Author Last Decade Papers Cites
Magda Pischetola 142 84 78 24 21 41 229
Andrew Whitworth 142 1.0× 68 0.8× 86 1.1× 12 0.5× 39 1.9× 42 317
Maria N. Gravani 213 1.5× 38 0.5× 42 0.5× 12 0.5× 17 0.8× 25 284
Clever Ndebele 209 1.5× 49 0.6× 38 0.5× 19 0.8× 8 0.4× 62 289
Julianne Lynch 176 1.2× 59 0.7× 55 0.7× 39 1.6× 18 0.9× 33 248
Susan Crichton 149 1.0× 67 0.8× 51 0.7× 20 0.8× 36 1.7× 32 292
Maria Antonietta Impedovo 203 1.4× 44 0.5× 67 0.9× 14 0.6× 29 1.4× 48 298
Sharon Markless 86 0.6× 31 0.4× 86 1.1× 13 0.5× 15 0.7× 37 316
Stephan Schumann 160 1.1× 99 1.2× 17 0.2× 21 0.9× 12 0.6× 55 294
Leena Kuure 126 0.9× 62 0.7× 50 0.6× 9 0.4× 55 2.6× 32 313
Kathryn Moyle 220 1.5× 41 0.5× 55 0.7× 33 1.4× 27 1.3× 40 281

Countries citing papers authored by Magda Pischetola

Since Specialization
Citations

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

Fields of papers citing papers by Magda Pischetola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magda Pischetola

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