Hae In Park

45 total papers · 526 total citations
29 papers, 352 citations indexed

About

Hae In Park is a scholar working on Language and Linguistics, Experimental and Cognitive Psychology and Literature and Literary Theory. According to data from OpenAlex, Hae In Park has authored 29 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Language and Linguistics, 8 papers in Experimental and Cognitive Psychology and 5 papers in Literature and Literary Theory. Recurrent topics in Hae In Park's work include Language, Metaphor, and Cognition (8 papers), Categorization, perception, and language (6 papers) and EFL/ESL Teaching and Learning (5 papers). Hae In Park is often cited by papers focused on Language, Metaphor, and Cognition (8 papers), Categorization, perception, and language (6 papers) and EFL/ESL Teaching and Learning (5 papers). Hae In Park collaborates with scholars based in United States, South Korea and Iran. Hae In Park's co-authors include Megan Solon, Byung Koo Lee, Jee Eun Chung, Eunsook Lee, Kwang‐Il Kim, Hye Sun Gwak, Nicole Ziegler, Hessameddin Ghanbar, Cristina Sanz and Kwang Ho Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Modern Language Journal and Frontiers in Psychology.

In The Last Decade

Hae In Park

26 papers receiving 340 citations

Author Peers

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

Author						Papers	Cites
Hae In Park	97	85	68	48	43	29	352
Charles Van Liew	15 0.2×	19 0.2×	16 0.2×	12 0.3×	14 0.3×	27	344
Terhi Korkiakangas	45 0.5×	23 0.3×	59 0.9×		54 1.3×	21	355
Erica Sandlund	151 1.6×	55 0.6×	22 0.3×	1 0.0×	14 0.3×	32	349
Mike Huiskes	165 1.7×	112 1.3×	58 0.9×		11 0.3×	36	298
Cathrin Martin	80 0.8×	47 0.6×	23 0.3×	5 0.1×	3 0.1×	22	398
John R. Kues	12 0.1×	33 0.4×	14 0.2×	12 0.3×	89 2.1×	32	362
Jennifer Zientz	4 0.0×	54 0.6×	49 0.7×	12 0.3×	13 0.3×	18	393
Evrim March	3 0.0×	81 1.0×	48 0.7×	17 0.4×	37 0.9×	19	392
M. Dolores Calero	4 0.0×	52 0.6×	79 1.2×	33 0.7×	10 0.2×	39	392
Michael Krausz	11 0.1×	119 1.4×	16 0.2×	5 0.1×	2 0.0×	37	374

Countries citing papers authored by Hae In Park

Since Specialization

Citations

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

Fields of papers citing papers by Hae In Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae In Park. 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 Hae In Park. The network helps show where Hae In Park may publish in the future.

Co-authorship network of co-authors of Hae In Park

This figure shows the co-authorship network connecting the top 25 collaborators of Hae In Park. A scholar is included among the top collaborators of Hae In Park 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 Hae In Park. Hae In Park 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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