Maja Grgurović

9 total papers · 632 total citations
5 papers, 314 citations indexed

About

Maja Grgurović is a scholar working on Language and Linguistics, Literature and Literary Theory and Developmental and Educational Psychology. According to data from OpenAlex, Maja Grgurović has authored 5 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Language and Linguistics, 4 papers in Literature and Literary Theory and 2 papers in Developmental and Educational Psychology. Recurrent topics in Maja Grgurović's work include EFL/ESL Teaching and Learning (5 papers), Second Language Learning and Teaching (4 papers) and Online and Blended Learning (1 paper). Maja Grgurović is often cited by papers focused on EFL/ESL Teaching and Learning (5 papers), Second Language Learning and Teaching (4 papers) and Online and Blended Learning (1 paper). Maja Grgurović collaborates with scholars based in United States. Maja Grgurović's co-authors include Mack Shelley, Carol A. Chapelle and Volker Hegelheimer and has published in prestigious journals such as Language learning & technology, ReCALL and CALICO Journal.

In The Last Decade

Maja Grgurović

5 papers receiving 251 citations

Author Peers

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

Author						Papers	Cites
Maja Grgurović	167	136	104	99	60	5	314
Yu‐Ying Chang	138 0.8×	109 0.8×	66 0.6×	161 1.6×	42 0.7×	10	331
Ken Beatty	177 1.1×	156 1.1×	127 1.2×	110 1.1×	98 1.6×	9	361
Hsin‐chou Huang	123 0.7×	136 1.0×	131 1.3×	75 0.8×	124 2.1×	13	350
Chiou‐lan Chern	124 0.7×	102 0.8×	139 1.3×	94 0.9×	57 0.9×	8	286
Zena Moore	183 1.1×	148 1.1×	67 0.6×	112 1.1×	58 1.0×	15	321
Katherine Maillet	150 0.9×	98 0.7×	67 0.6×	132 1.3×	30 0.5×	9	271
Jingjing Hu	142 0.9×	144 1.1×	129 1.2×	142 1.4×	54 0.9×	11	355
Yvonne Lam	135 0.8×	181 1.3×	73 0.7×	62 0.6×	60 1.0×	8	313
Juanita Heigham	154 0.9×	144 1.1×	61 0.6×	119 1.2×	62 1.0×	5	350
Soobin Yim	65 0.4×	105 0.8×	114 1.1×	69 0.7×	40 0.7×	13	235

Countries citing papers authored by Maja Grgurović

Since Specialization

Citations

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

Fields of papers citing papers by Maja Grgurović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Grgurović

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