Ewa Golonka

41 total papers · 1.4k total citations
16 papers, 772 citations indexed

About

Ewa Golonka is a scholar working on Sociology and Political Science, Language and Linguistics and Literature and Literary Theory. According to data from OpenAlex, Ewa Golonka has authored 16 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 6 papers in Language and Linguistics and 5 papers in Literature and Literary Theory. Recurrent topics in Ewa Golonka's work include EFL/ESL Teaching and Learning (5 papers), Misinformation and Its Impacts (4 papers) and Second Language Learning and Teaching (3 papers). Ewa Golonka is often cited by papers focused on EFL/ESL Teaching and Learning (5 papers), Misinformation and Its Impacts (4 papers) and Second Language Learning and Teaching (3 papers). Ewa Golonka collaborates with scholars based in United States and Poland. Ewa Golonka's co-authors include Anita R. Bowles, Medha Tare, Charles B. Chang, Susannah B. F. Paletz, Tim Buckwalter, Noah H. Silbert, Michael Johns, Patrick Sheehan, Cody Buntain and Kelly Jones and has published in prestigious journals such as Journal of Educational Psychology, Science Advances and Modern Language Journal.

In The Last Decade

Ewa Golonka

12 papers receiving 702 citations

Hit Papers

Technologies for foreign ... 2012 2026 2016 2021 2012 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Ewa Golonka 337 262 249 236 141 16 772
Daniel R. Isbell 154 0.5× 194 0.7× 250 1.0× 182 0.8× 152 1.1× 39 663
Ruofei Zhang 287 0.9× 224 0.9× 206 0.8× 344 1.5× 96 0.7× 39 861
Joan Jamieson 240 0.7× 122 0.5× 339 1.4× 286 1.2× 195 1.4× 33 691
Douglas Grimes 419 1.2× 170 0.6× 177 0.7× 202 0.9× 143 1.0× 8 686
Qing-Ke Fu 420 1.2× 298 1.1× 100 0.4× 314 1.3× 63 0.4× 12 814
Dawn Bikowski 319 0.9× 125 0.5× 355 1.4× 414 1.8× 366 2.6× 19 827
Gillian Lord 272 0.8× 103 0.4× 328 1.3× 258 1.1× 152 1.1× 29 758
Frederik Cornillie 224 0.7× 149 0.6× 169 0.7× 423 1.8× 80 0.6× 42 826
Deoksoon Kim 344 1.0× 171 0.7× 278 1.1× 260 1.1× 247 1.8× 45 778
Uschi Felix 253 0.8× 90 0.3× 387 1.6× 233 1.0× 247 1.8× 35 650

Countries citing papers authored by Ewa Golonka

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Golonka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Golonka

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