Matthew D. Burkey

29 total papers · 956 total citations
23 papers, 648 citations indexed

About

Matthew D. Burkey is a scholar working on Clinical Psychology, General Health Professions and Education. According to data from OpenAlex, Matthew D. Burkey has authored 23 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Clinical Psychology, 8 papers in General Health Professions and 7 papers in Education. Recurrent topics in Matthew D. Burkey's work include Child and Adolescent Psychosocial and Emotional Development (15 papers), Child Abuse and Trauma (8 papers) and Early Childhood Education and Development (6 papers). Matthew D. Burkey is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (15 papers), Child Abuse and Trauma (8 papers) and Early Childhood Education and Development (6 papers). Matthew D. Burkey collaborates with scholars based in United States, Canada and Nepal. Matthew D. Burkey's co-authors include Brandon A. Kohrt, Judith Bass, Emily E. Haroz, Jura Augustinavicius, Lynn Michalopoulos, Patrick Bolton, Maureen Ritchey, Lawrence S. Wissow, Richard D. Moore and Gregory M. Lucas and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Matthew D. Burkey

23 papers receiving 626 citations

Author Peers

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

Author						Papers	Cites
Matthew D. Burkey	356	200	182	81	65	23	648
Christopher J. Mehus	386 1.1×	276 1.4×	220 1.2×	71 0.9×	73 1.1×	39	762
Thomas F. Locke	480 1.3×	190 0.9×	132 0.7×	64 0.8×	112 1.7×	24	680
Sophia SC Chan	286 0.8×	222 1.1×	129 0.7×	78 1.0×	41 0.6×	12	726
Claire van der Westhuizen	289 0.8×	236 1.2×	191 1.0×	127 1.6×	89 1.4×	31	641
Naomi Dove	443 1.2×	144 0.7×	129 0.7×	81 1.0×	80 1.2×	10	730
James Okello	463 1.3×	189 0.9×	221 1.2×	105 1.3×	64 1.0×	25	723
Heide Busse	310 0.9×	268 1.3×	141 0.8×	77 1.0×	126 1.9×	41	781
Francisca Ongecha-Owuor	281 0.8×	182 0.9×	198 1.1×	83 1.0×	109 1.7×	32	560
Taiwo Lateef Sheikh	422 1.2×	166 0.8×	170 0.9×	52 0.6×	44 0.7×	46	737
Byamah Brian Mutamba	423 1.2×	244 1.2×	362 2.0×	100 1.2×	38 0.6×	24	785

Countries citing papers authored by Matthew D. Burkey

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Burkey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Burkey. 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 Matthew D. Burkey. The network helps show where Matthew D. Burkey may publish in the future.

Co-authorship network of co-authors of Matthew D. Burkey

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Burkey. A scholar is included among the top collaborators of Matthew D. Burkey 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 Matthew D. Burkey. Matthew D. Burkey 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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