Maria Hatzigianni

68 total papers · 989 total citations
34 papers, 563 citations indexed

About

Maria Hatzigianni is a scholar working on Education, Sociology and Political Science and Gender Studies. According to data from OpenAlex, Maria Hatzigianni has authored 34 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Education, 12 papers in Sociology and Political Science and 11 papers in Gender Studies. Recurrent topics in Maria Hatzigianni's work include Child Development and Digital Technology (18 papers), Impact of Technology on Adolescents (12 papers) and Gender and Technology in Education (11 papers). Maria Hatzigianni is often cited by papers focused on Child Development and Digital Technology (18 papers), Impact of Technology on Adolescents (12 papers) and Gender and Technology in Education (11 papers). Maria Hatzigianni collaborates with scholars based in Australia, Greece and United Kingdom. Maria Hatzigianni's co-authors include Michael Stevenson, Matt Bower, Anne Forbes, Garry Falloon, Kay Margetts, Linda Harrison, Ameneh Shahaeian, Elizabeth Murray, Cen Wang and Marilyn Fleer and has published in prestigious journals such as Computers & Education, British Journal of Educational Technology and Journal of School Psychology.

In The Last Decade

Maria Hatzigianni

30 papers receiving 534 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Hatzigianni 381 126 114 104 84 34 563
Allison Moore 355 0.9× 69 0.5× 79 0.7× 81 0.8× 163 1.9× 17 626
John G. Wells 330 0.9× 55 0.4× 65 0.6× 42 0.4× 108 1.3× 52 653
Vanessa W. Vongkulluksn 406 1.1× 178 1.4× 120 1.1× 58 0.6× 136 1.6× 26 658
Cynthia Carter Ching 292 0.8× 106 0.8× 148 1.3× 150 1.4× 268 3.2× 40 664
Matthew W. Easterday 211 0.6× 80 0.6× 172 1.5× 143 1.4× 232 2.8× 41 677
Leanne Bowler 184 0.5× 195 1.5× 126 1.1× 180 1.7× 80 1.0× 53 654
Linda Daniela 313 0.8× 192 1.5× 133 1.2× 112 1.1× 83 1.0× 55 640
John Williams 288 0.8× 52 0.4× 42 0.4× 113 1.1× 97 1.2× 47 540
Rekha Koul 354 0.9× 67 0.5× 90 0.8× 27 0.3× 73 0.9× 37 523
Mike Carbonaro 207 0.5× 63 0.5× 185 1.6× 89 0.9× 156 1.9× 37 571

Countries citing papers authored by Maria Hatzigianni

Since Specialization
Citations

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

Fields of papers citing papers by Maria Hatzigianni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Hatzigianni

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