Márta Turcsányi-Szabó

14 papers and 129 indexed citations i.

About

Márta Turcsányi-Szabó is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Márta Turcsányi-Szabó has authored 14 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 5 papers in Developmental and Educational Psychology and 3 papers in Artificial Intelligence. Recurrent topics in Márta Turcsányi-Szabó’s work include Open Education and E-Learning (5 papers), Learning Styles and Cognitive Differences (3 papers) and Innovative Teaching and Learning Methods (3 papers). Márta Turcsányi-Szabó is often cited by papers focused on Open Education and E-Learning (5 papers), Learning Styles and Cognitive Differences (3 papers) and Innovative Teaching and Learning Methods (3 papers). Márta Turcsányi-Szabó collaborates with scholars based in Hungary, Australia and United Kingdom. Márta Turcsányi-Szabó's co-authors include Nicholas Reynolds, Mark Levene, Judith Schoonenboom, Andrea Kárpáti and Gyöngyvér Molnár and has published in prestigious journals such as Applied Sciences, Education and Information Technologies and Learning Media and Technology.

In The Last Decade

Co-authorship network of co-authors of Márta Turcsányi-Szabó i

Fields of papers citing papers by Márta Turcsányi-Szabó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Márta Turcsányi-Szabó. 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 Márta Turcsányi-Szabó. The network helps show where Márta Turcsányi-Szabó may publish in the future.

Countries citing papers authored by Márta Turcsányi-Szabó

Since Specialization
Citations

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

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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