Ferenc Kemény

56 total papers · 612 total citations
35 papers, 425 citations indexed

About

Ferenc Kemény is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Statistics and Probability. According to data from OpenAlex, Ferenc Kemény has authored 35 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Developmental and Educational Psychology, 17 papers in Cognitive Neuroscience and 11 papers in Statistics and Probability. Recurrent topics in Ferenc Kemény's work include Reading and Literacy Development (18 papers), Cognitive and developmental aspects of mathematical skills (11 papers) and Neurobiology of Language and Bilingualism (8 papers). Ferenc Kemény is often cited by papers focused on Reading and Literacy Development (18 papers), Cognitive and developmental aspects of mathematical skills (11 papers) and Neurobiology of Language and Bilingualism (8 papers). Ferenc Kemény collaborates with scholars based in Hungary, Austria and Australia. Ferenc Kemény's co-authors include Ágnes Lukács, Karin Landerl, Chiara Banfi, Enikő Ladányi, Kristina Moll, Jarrad A. G. Lum, Gerd Schulte‐Körne, Michael T. Ullman, Beat Meier and Silke M. Göbel and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Cognitive Science.

In The Last Decade

Ferenc Kemény

32 papers receiving 410 citations

Author Peers

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

Author						Papers	Cites
Ferenc Kemény	334	232	88	52	48	35	425
Xin Yan	226 0.7×	260 1.1×	50 0.6×	32 0.6×	23 0.5×	21	397
Katrina Ferrara	207 0.6×	167 0.7×	68 0.8×	59 1.1×	111 2.3×	16	453
Silvia Baquero Castellanos	244 0.7×	264 1.1×	48 0.5×	95 1.8×	34 0.7×	15	429
Kelly Halverson	259 0.8×	257 1.1×	91 1.0×	51 1.0×	58 1.2×	15	427
Clara Regina Brandão de Ávila	357 1.1×	128 0.6×	84 1.0×	38 0.7×	185 3.9×	66	490
Bruno Façon	225 0.7×	133 0.6×	44 0.5×	100 1.9×	48 1.0×	34	453
Sandra Loosli	167 0.5×	143 0.6×	71 0.8×	152 2.9×	50 1.0×	24	419
Anna Lambrechts	113 0.3×	301 1.3×	55 0.6×	95 1.8×	50 1.0×	22	367
Yang Yang	112 0.3×	246 1.1×	27 0.3×	40 0.8×	52 1.1×	31	412
Patricia E. Worden	290 0.9×	165 0.7×	43 0.5×	98 1.9×	123 2.6×	24	406

Countries citing papers authored by Ferenc Kemény

Since Specialization

Citations

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

Fields of papers citing papers by Ferenc Kemény

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferenc Kemény

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