Maria Spante

94 total papers · 966 total citations
30 papers, 586 citations indexed

About

Maria Spante is a scholar working on Education, Human-Computer Interaction and Developmental and Educational Psychology. According to data from OpenAlex, Maria Spante has authored 30 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 8 papers in Human-Computer Interaction and 6 papers in Developmental and Educational Psychology. Recurrent topics in Maria Spante's work include Virtual Reality Applications and Impacts (8 papers), Innovative Teaching and Learning Methods (5 papers) and Team Dynamics and Performance (5 papers). Maria Spante is often cited by papers focused on Virtual Reality Applications and Impacts (8 papers), Innovative Teaching and Learning Methods (5 papers) and Team Dynamics and Performance (5 papers). Maria Spante collaborates with scholars based in Sweden, United Kingdom and Brazil. Maria Spante's co-authors include Mona Lundin, Anne Algers, Sylvana Sofkova Hashemi, Ilona Heldal, Ralph Schroeder, Ann‐Sofie Axelsson, Anthony Steed, Bodil Sundberg, Diane H. Sonnenwald and Lena Pareto and has published in prestigious journals such as PRESENCE Virtual and Augmented Reality, Learning Media and Technology and Journal of Workplace Learning.

In The Last Decade

Maria Spante

25 papers receiving 537 citations

Hit Papers

Digital competence and di... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Maria Spante 333 294 96 76 72 30 586
Anna Kantosalo 299 0.9× 226 0.8× 78 0.8× 51 0.7× 71 1.0× 26 616
İlknur Reisoğlu 305 0.9× 356 1.2× 57 0.6× 90 1.2× 86 1.2× 29 633
Maria Perifanou 259 0.8× 258 0.9× 35 0.4× 67 0.9× 139 1.9× 58 573
Özlem Baydaş 226 0.7× 312 1.1× 74 0.8× 90 1.2× 70 1.0× 27 581
Bing Mei 177 0.5× 246 0.8× 48 0.5× 116 1.5× 46 0.6× 18 570
Eleni Berki 213 0.6× 195 0.7× 97 1.0× 76 1.0× 46 0.6× 48 645
Sandra Hirsh 348 1.0× 173 0.6× 68 0.7× 108 1.4× 36 0.5× 24 633
Selena Nemorin 188 0.6× 210 0.7× 30 0.3× 166 2.2× 117 1.6× 25 671
Linda Daniela 192 0.6× 313 1.1× 32 0.3× 112 1.5× 133 1.8× 55 640
Leanne Bowler 195 0.6× 184 0.6× 163 1.7× 180 2.4× 126 1.8× 53 654

Countries citing papers authored by Maria Spante

Since Specialization
Citations

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

Fields of papers citing papers by Maria Spante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Spante

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