Zoltán Kekecs

119 total papers · 1.9k total citations
43 papers, 586 citations indexed

About

Zoltán Kekecs is a scholar working on Cognitive Neuroscience, Social Psychology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Zoltán Kekecs has authored 43 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 9 papers in Social Psychology and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Zoltán Kekecs's work include Pain Management and Placebo Effect (21 papers), Pediatric Pain Management Techniques (6 papers) and Psychosomatic Disorders and Their Treatments (6 papers). Zoltán Kekecs is often cited by papers focused on Pain Management and Placebo Effect (21 papers), Pediatric Pain Management Techniques (6 papers) and Psychosomatic Disorders and Their Treatments (6 papers). Zoltán Kekecs collaborates with scholars based in Hungary, United States and Sweden. Zoltán Kekecs's co-authors include Katalin Varga, Gary Elkins, Anna Székely, Tamás Nagy, Alisa J. Johnson, Katalin Gombos, Zoltán Csernátony, Aimee K. Johnson, William Fisher and Bence Pálfi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Zoltán Kekecs

40 papers receiving 572 citations

Author Peers

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

Author						Papers	Cites
Zoltán Kekecs	290	120	111	105	88	43	586
Rosapia Lauro Grotto	190 0.7×	157 1.3×	52 0.5×	64 0.6×	205 2.3×	38	581
David B. Cheek	232 0.8×	90 0.8×	70 0.6×	80 0.8×	76 0.9×	40	509
Benno Bonke	221 0.8×	152 1.3×	109 1.0×	44 0.4×	37 0.4×	32	625
Susan Koranyi	128 0.4×	117 1.0×	37 0.3×	106 1.0×	114 1.3×	29	545
Aimee K. Johnson	157 0.5×	62 0.5×	46 0.4×	117 1.1×	57 0.6×	27	534
Luciano Santos Pinto Guimarães	106 0.4×	65 0.5×	43 0.4×	174 1.7×	42 0.5×	58	684
Tomonori Adachi	272 0.9×	38 0.3×	66 0.6×	71 0.7×	59 0.7×	29	614
Alisa J. Johnson	106 0.4×	106 0.9×	59 0.5×	96 0.9×	50 0.6×	50	624
Hassan Jafari	90 0.3×	41 0.3×	68 0.6×	61 0.6×	68 0.8×	58	613
Mei Hung	119 0.4×	118 1.0×	34 0.3×	111 1.1×	28 0.3×	42	696

Countries citing papers authored by Zoltán Kekecs

Since Specialization

Citations

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

Fields of papers citing papers by Zoltán Kekecs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Kekecs

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