Tamás Makány

36 total papers · 568 total citations
22 papers, 389 citations indexed

About

Tamás Makány is a scholar working on Automotive Engineering, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Tamás Makány has authored 22 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Automotive Engineering, 7 papers in Experimental and Cognitive Psychology and 5 papers in Developmental and Educational Psychology. Recurrent topics in Tamás Makány's work include Spatial Cognition and Navigation (9 papers), Visual and Cognitive Learning Processes (5 papers) and Innovative Teaching and Learning Methods (4 papers). Tamás Makány is often cited by papers focused on Spatial Cognition and Navigation (9 papers), Visual and Cognitive Learning Processes (5 papers) and Innovative Teaching and Learning Methods (4 papers). Tamás Makány collaborates with scholars based in United States, Hungary and United Kingdom. Tamás Makány's co-authors include János Kállai, Itiel E. Dror, Jonathan Kemp, Kázmér Karádi, W. Jake Jacobs, Paul Kim, Lynn Nadel, Árpád Csathó, Róbert Járai and Elizabeth Buckner and has published in prestigious journals such as Behavioural Brain Research, Behavioral Neuroscience and British Journal of Educational Technology.

In The Last Decade

Tamás Makány

19 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
Tamás Makány	94	80	78	75	56	22	389
Grace C. Lin	51 0.5×	68 0.8×	103 1.3×	12 0.2×	19 0.3×	19	377
Peter Tellegen	94 1.0×	125 1.6×	96 1.2×	14 0.2×	70 1.3×	28	374
Jessica Mercer Young	135 1.4×	70 0.9×	10 0.1×	30 0.4×	11 0.2×	13	367
Ruth Wood	174 1.9×	35 0.4×	83 1.1×	83 1.1×	27 0.5×	19	397
Harold O. Kiess	50 0.5×	88 1.1×	76 1.0×	7 0.1×	52 0.9×	12	420
Andrea Vogt	59 0.6×	90 1.1×	15 0.2×	39 0.5×	118 2.1×	11	334
Heidi L. Marsh	47 0.5×	157 2.0×	173 2.2×	11 0.1×	47 0.8×	18	356
Florencia K. Anggoro	109 1.2×	167 2.1×	26 0.3×	16 0.2×	60 1.1×	24	344
Alison Leonard	73 0.8×	96 1.2×	9 0.1×	13 0.2×	45 0.8×	36	435
Minkyung Kim	79 0.8×	221 2.8×	35 0.4×	19 0.3×	26 0.5×	45	437

Countries citing papers authored by Tamás Makány

Since Specialization

Citations

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

Fields of papers citing papers by Tamás Makány

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Makány

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