Pia Resnik

40 total papers · 563 total citations
24 papers, 344 citations indexed

About

Pia Resnik is a scholar working on Language and Linguistics, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Pia Resnik has authored 24 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Language and Linguistics, 9 papers in Social Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Pia Resnik's work include EFL/ESL Teaching and Learning (9 papers), Second Language Learning and Teaching (5 papers) and Emotional Intelligence and Performance (4 papers). Pia Resnik is often cited by papers focused on EFL/ESL Teaching and Learning (9 papers), Second Language Learning and Teaching (5 papers) and Emotional Intelligence and Performance (4 papers). Pia Resnik collaborates with scholars based in Austria, United Kingdom and Luxembourg. Pia Resnik's co-authors include Jean‐Marc Dewaele, Sarah Mercer, Astrid Mairitsch, Sonja Babić, Giulia Sulis, Samuel Greiff, Ali H. Al‐Hoorie, Elouise Botes and Phil Hiver and has published in prestigious journals such as SHILAP Revista de lepidopterología, TESOL Quarterly and System.

In The Last Decade

Pia Resnik

21 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Pia Resnik	157	153	83	73	68	24	344
Jakub Bielak	113 0.7×	210 1.4×	127 1.5×	76 1.0×	86 1.3×	19	351
Katalin Piniel	111 0.7×	166 1.1×	93 1.1×	64 0.9×	78 1.1×	14	295
Abdulbaset Saeedian	126 0.8×	87 0.6×	109 1.3×	117 1.6×	41 0.6×	22	334
Nasser Fallah	200 1.3×	121 0.8×	54 0.7×	108 1.5×	62 0.9×	19	389
Mehdi Solhi	191 1.2×	80 0.5×	82 1.0×	114 1.6×	48 0.7×	44	369
Pornapit Darasawang	69 0.4×	102 0.7×	80 1.0×	158 2.2×	89 1.3×	21	369
Ekaterina Sudina	189 1.2×	79 0.5×	49 0.6×	26 0.4×	36 0.5×	12	298
Sachiko Nakamura	108 0.7×	201 1.3×	150 1.8×	105 1.4×	109 1.6×	16	387
Xian Zhao	220 1.4×	74 0.5×	43 0.5×	46 0.6×	21 0.3×	17	321
Robert J. Kibler	115 0.7×	69 0.5×	46 0.6×	80 1.1×	49 0.7×	33	334

Countries citing papers authored by Pia Resnik

Since Specialization

Citations

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

Fields of papers citing papers by Pia Resnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pia Resnik

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