Maya Satratzemi

107 total papers · 1.2k total citations
72 papers, 725 citations indexed

About

Maya Satratzemi is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Information Systems. According to data from OpenAlex, Maya Satratzemi has authored 72 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Science Applications, 27 papers in Developmental and Educational Psychology and 17 papers in Information Systems. Recurrent topics in Maya Satratzemi's work include Teaching and Learning Programming (27 papers), Educational Games and Gamification (17 papers) and Online Learning and Analytics (12 papers). Maya Satratzemi is often cited by papers focused on Teaching and Learning Programming (27 papers), Educational Games and Gamification (17 papers) and Online Learning and Analytics (12 papers). Maya Satratzemi collaborates with scholars based in Greece, United States and United Kingdom. Maya Satratzemi's co-authors include Stelios Xinogalos, Georgios Evangelidis, Ioannis Kazanidis, Alexander Chatzigeorgiou, Dimitrios Tzovaras, Dionysios Kehagias, Roger Boyle, Nikolaos Samaras, David Finkel and Konstantinos G. Margaritis and has published in prestigious journals such as Computers & Education, International Journal of Production Economics and Applied Sciences.

In The Last Decade

Maya Satratzemi

67 papers receiving 658 citations

Author Peers

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

Author						Papers	Cites
Maya Satratzemi	449	316	207	151	83	72	725
Ursula Wolz	526 1.2×	228 0.7×	190 0.9×	100 0.7×	77 0.9×	81	746
Juan Quemada	287 0.6×	231 0.7×	172 0.8×	111 0.7×	142 1.7×	65	671
Andri Ioannidou	446 1.0×	321 1.0×	140 0.7×	144 1.0×	92 1.1×	29	700
Ilkka Jormanainen	536 1.2×	196 0.6×	195 0.9×	126 0.8×	106 1.3×	56	801
I‐Han Hsiao	438 1.0×	232 0.7×	182 0.9×	225 1.5×	110 1.3×	65	674
Brian Dorn	537 1.2×	275 0.9×	173 0.8×	86 0.6×	162 2.0×	42	734
Shiyan Jiang	482 1.1×	239 0.8×	125 0.6×	126 0.8×	159 1.9×	54	827
Michael Goldweber	534 1.2×	188 0.6×	246 1.2×	69 0.5×	139 1.7×	86	839
Niko Myller	507 1.1×	290 0.9×	208 1.0×	148 1.0×	71 0.9×	33	713
Ruth Cobos	329 0.7×	206 0.7×	176 0.9×	120 0.8×	197 2.4×	70	633

Countries citing papers authored by Maya Satratzemi

Since Specialization

Citations

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

Fields of papers citing papers by Maya Satratzemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Satratzemi

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