Don Ambrose

211 total papers · 1.1k total citations
53 papers, 493 citations indexed

About

Don Ambrose is a scholar working on Experimental and Cognitive Psychology, Education and Developmental and Educational Psychology. According to data from OpenAlex, Don Ambrose has authored 53 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Experimental and Cognitive Psychology, 12 papers in Education and 8 papers in Developmental and Educational Psychology. Recurrent topics in Don Ambrose's work include Creativity in Education and Neuroscience (21 papers), Education, Achievement, and Giftedness (14 papers) and Neuroscience, Education and Cognitive Function (6 papers). Don Ambrose is often cited by papers focused on Creativity in Education and Neuroscience (21 papers), Education, Achievement, and Giftedness (14 papers) and Neuroscience, Education and Cognitive Function (6 papers). Don Ambrose collaborates with scholars based in United States, Russia and Israel. Don Ambrose's co-authors include Robert J. Sternberg, Tracy L. Cross, Joyce Van Tassel‐Baska, Laurence J. Coleman, Sareh Karami, Heinz Neber, Bharath Sriraman, Jon G. Allen, Amanda Clinton and Stefan C. Dombrowski and has published in prestigious journals such as Creativity Research Journal, The Journal of Creative Behavior and Gifted Child Quarterly.

In The Last Decade

Don Ambrose

43 papers receiving 419 citations

Author Peers

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

Author						Papers	Cites
Don Ambrose	336	133	111	71	67	53	493
Minhye Lee	252 0.8×	190 1.4×	202 1.8×	65 0.9×	127 1.9×	39	515
Dorothy Sisk	158 0.5×	212 1.6×	92 0.8×	43 0.6×	50 0.7×	62	423
Jae Yup Jung	209 0.6×	149 1.1×	131 1.2×	126 1.8×	59 0.9×	40	420
Shengjie Lin	176 0.5×	171 1.3×	125 1.1×	28 0.4×	84 1.3×	36	413
Tatiana de Cássia Nakano	254 0.8×	121 0.9×	130 1.2×	17 0.2×	84 1.3×	91	490
F. Richard Olenchak	265 0.8×	229 1.7×	121 1.1×	106 1.5×	120 1.8×	29	539
Eunjin Seo	166 0.5×	155 1.2×	160 1.4×	68 1.0×	66 1.0×	32	421
Abdullah Aljughaiman	321 1.0×	176 1.3×	108 1.0×	22 0.3×	84 1.3×	25	468
Sakhavat Mammadov	179 0.5×	132 1.0×	176 1.6×	53 0.7×	61 0.9×	30	441
Daniel Fasko	241 0.7×	174 1.3×	95 0.9×	20 0.3×	93 1.4×	25	489

Countries citing papers authored by Don Ambrose

Since Specialization

Citations

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

Fields of papers citing papers by Don Ambrose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Ambrose

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