David W. Chapman

41 total papers · 954 total citations
30 papers, 552 citations indexed

About

David W. Chapman is a scholar working on Education, Political Science and International Relations and Demography. According to data from OpenAlex, David W. Chapman has authored 30 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Education, 12 papers in Political Science and International Relations and 7 papers in Demography. Recurrent topics in David W. Chapman's work include Global Educational Reforms and Inequalities (6 papers), Higher Education Governance and Development (5 papers) and Global Educational Policies and Reforms (5 papers). David W. Chapman is often cited by papers focused on Global Educational Reforms and Inequalities (6 papers), Higher Education Governance and Development (5 papers) and Global Educational Policies and Reforms (5 papers). David W. Chapman collaborates with scholars based in United States, India and Ireland. David W. Chapman's co-authors include Ann E. Austin, Darwin D. Hendel, Aliya Kuzhabekova, Lili Dong, Donald K. Adams, Carol A. Carrier, Donald Adams, Roger A. Boothroyd, Don C. Adams and Nataliya L. Rumyantseva and has published in prestigious journals such as American Educational Research Journal, Research in Higher Education and Educational Evaluation and Policy Analysis.

In The Last Decade

David W. Chapman

28 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
David W. Chapman	385	133	64	53	40	30	552
Manzoor Ahmed	267 0.7×	116 0.9×	76 1.2×	106 2.0×	46 1.1×	37	501
Miguel Ángel Vite Pérez	245 0.6×	70 0.5×	24 0.4×	157 3.0×	18 0.5×	31	550
Hilary Perraton	433 1.1×	55 0.4×	28 0.4×	52 1.0×	19 0.5×	46	599
Andrés Bernasconi	277 0.7×	201 1.5×	16 0.3×	39 0.7×	76 1.9×	54	461
Thomas W. Wiggins	320 0.8×	156 1.2×	36 0.6×	180 3.4×	51 1.3×	18	520
Louay Constant	331 0.9×	100 0.8×	29 0.5×	164 3.1×	67 1.7×	58	552
David Court	130 0.3×	116 0.9×	59 0.9×	74 1.4×	56 1.4×	39	523
Mengli Song	342 0.9×	36 0.3×	56 0.9×	59 1.1×	19 0.5×	35	467
John Middleton	192 0.5×	90 0.7×	60 0.9×	126 2.4×	31 0.8×	23	514
Shirley Walters	314 0.8×	140 1.1×	20 0.3×	109 2.1×	31 0.8×	56	497

Countries citing papers authored by David W. Chapman

Since Specialization

Citations

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

Fields of papers citing papers by David W. Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Chapman. 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 David W. Chapman. The network helps show where David W. Chapman may publish in the future.

Co-authorship network of co-authors of David W. Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Chapman. A scholar is included among the top collaborators of David W. Chapman 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 David W. Chapman. David W. Chapman 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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