Frank Burchert

79 total papers · 1.1k total citations
45 papers, 557 citations indexed

About

Frank Burchert is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Language and Linguistics. According to data from OpenAlex, Frank Burchert has authored 45 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 31 papers in Developmental and Educational Psychology and 14 papers in Language and Linguistics. Recurrent topics in Frank Burchert's work include Neurobiology of Language and Bilingualism (36 papers), Reading and Literacy Development (21 papers) and Language Development and Disorders (16 papers). Frank Burchert is often cited by papers focused on Neurobiology of Language and Bilingualism (36 papers), Reading and Literacy Development (21 papers) and Language Development and Disorders (16 papers). Frank Burchert collaborates with scholars based in Germany, Netherlands and United States. Frank Burchert's co-authors include Ria De Bleser, Shravan Vasishth, Felix Engelmann, Bruno Nicenboim, Antje Lorenz, Irina A. Sekerina, Hauke R. Heekeren, Arno Villringer, Isabell Wartenburger and David Caplan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Cognitive Sciences and Neuropsychologia.

In The Last Decade

Frank Burchert

40 papers receiving 530 citations

Author Peers

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

Author						Papers	Cites
Frank Burchert	511	434	93	77	59	45	557
Malathi Thothathiri	474 0.9×	404 0.9×	47 0.5×	39 0.5×	102 1.7×	26	552
Eva Smolka	420 0.8×	387 0.9×	91 1.0×	95 1.2×	183 3.1×	24	586
Aya Meltzer‐Asscher	513 1.0×	337 0.8×	137 1.5×	105 1.4×	105 1.8×	37	616
Antoine Tremblay	415 0.8×	396 0.9×	113 1.2×	133 1.7×	169 2.9×	19	680
William H. Levine	420 0.8×	380 0.9×	64 0.7×	86 1.1×	199 3.4×	19	588
Francesco Vespignani	483 0.9×	374 0.9×	107 1.2×	92 1.2×	172 2.9×	33	678
Tamar Degani	344 0.7×	394 0.9×	98 1.1×	82 1.1×	115 1.9×	33	535
Manabu Arai	411 0.8×	314 0.7×	107 1.2×	83 1.1×	166 2.8×	25	653
Yanping Dong	371 0.7×	247 0.6×	173 1.9×	70 0.9×	151 2.6×	42	630
Silke Brandt	293 0.6×	430 1.0×	152 1.6×	56 0.7×	102 1.7×	39	628

Countries citing papers authored by Frank Burchert

Since Specialization

Citations

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

Fields of papers citing papers by Frank Burchert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Burchert

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