Karin Kukkonen

168 total papers · 1.7k total citations
54 papers, 427 citations indexed

About

Karin Kukkonen is a scholar working on Literature and Literary Theory, Experimental and Cognitive Psychology and Speech and Hearing. According to data from OpenAlex, Karin Kukkonen has authored 54 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Literature and Literary Theory, 22 papers in Experimental and Cognitive Psychology and 8 papers in Speech and Hearing. Recurrent topics in Karin Kukkonen's work include Language, Metaphor, and Cognition (19 papers), Narrative Theory and Analysis (18 papers) and Digital Storytelling and Education (8 papers). Karin Kukkonen is often cited by papers focused on Language, Metaphor, and Cognition (19 papers), Narrative Theory and Analysis (18 papers) and Digital Storytelling and Education (8 papers). Karin Kukkonen collaborates with scholars based in Norway, Finland and Germany. Karin Kukkonen's co-authors include Marco Caracciolo, Regina E. Fabry, Fabrizia Mantovani, Giuseppe Riva, Henrik Skov Nielsen, Sarah Bro Trasmundi, Stephan Schwan, Stephen J Kelly, Nigel Fabb and Jan Alber and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Frontiers in Psychology and Consciousness and Cognition.

In The Last Decade

Karin Kukkonen

45 papers receiving 359 citations

Author Peers

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

Author						Papers	Cites
Karin Kukkonen	204	129	98	87	85	54	427
John T. Matthews	93 0.5×	47 0.4×	67 0.7×	116 1.3×	19 0.2×	38	449
Eleni Loizou	68 0.3×	78 0.6×	88 0.9×	25 0.3×	132 1.6×	39	471
Aaron Meskin	44 0.2×	108 0.8×	85 0.9×	75 0.9×	44 0.5×	32	431
Richard Hickman	31 0.2×	112 0.9×	50 0.5×	136 1.6×	52 0.6×	32	409
Paul Martin Lester	92 0.5×	27 0.2×	147 1.5×	63 0.7×	33 0.4×	36	436
David Pariser	36 0.2×	165 1.3×	91 0.9×	188 2.2×	48 0.6×	36	479
Matthew Reason	46 0.2×	108 0.8×	99 1.0×	124 1.4×	93 1.1×	34	403
Warren Buckland	150 0.7×	81 0.6×	81 0.8×	60 0.7×	19 0.2×	43	366
Edmund Burke Feldman	34 0.2×	98 0.8×	46 0.5×	237 2.7×	21 0.2×	38	414
Claire Golomb	39 0.2×	137 1.1×	43 0.4×	128 1.5×	65 0.8×	37	471

Countries citing papers authored by Karin Kukkonen

Since Specialization

Citations

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

Fields of papers citing papers by Karin Kukkonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Kukkonen

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