John J. Pikulski

46 total papers · 1.1k total citations
31 papers, 686 citations indexed

About

John J. Pikulski is a scholar working on Developmental and Educational Psychology, Education and Statistics and Probability. According to data from OpenAlex, John J. Pikulski has authored 31 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Developmental and Educational Psychology, 9 papers in Education and 4 papers in Statistics and Probability. Recurrent topics in John J. Pikulski's work include Reading and Literacy Development (17 papers), Cognitive and developmental aspects of mathematical skills (4 papers) and Education Systems and Policy (3 papers). John J. Pikulski is often cited by papers focused on Reading and Literacy Development (17 papers), Cognitive and developmental aspects of mathematical skills (4 papers) and Education Systems and Policy (3 papers). John J. Pikulski collaborates with scholars based in United States. John J. Pikulski's co-authors include David J. Chard, Cynthia B. Leung, Timothy Shanahan, Frank B. Murray, Instruction, Russell G. Stauffer, Olatokunbo S. Fashola, Marilyn Jager Adams, Louisa C. Moats and Isabel L. Beck and has published in prestigious journals such as Journal of Learning Disabilities, The Journal of Educational Research and The Reading Teacher.

In The Last Decade

John J. Pikulski

25 papers receiving 520 citations

Author Peers

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

Author						Papers	Cites
John J. Pikulski	572	348	132	81	67	31	686
Sandra McCormick	537 0.9×	376 1.1×	122 0.9×	38 0.5×	81 1.2×	33	694
Jean Osborn	476 0.8×	359 1.0×	96 0.7×	42 0.5×	50 0.7×	33	616
C.A.J. Aarnoutse	590 1.0×	408 1.2×	146 1.1×	44 0.5×	92 1.4×	33	724
Joanne Caldwell	399 0.7×	307 0.9×	87 0.7×	63 0.8×	73 1.1×	20	570
Jan Hasbrouck	589 1.0×	467 1.3×	122 0.9×	57 0.7×	68 1.0×	15	760
Victor Van Daal	530 0.9×	316 0.9×	155 1.2×	34 0.4×	159 2.4×	24	646
Yvonne Griffiths	582 1.0×	299 0.9×	200 1.5×	68 0.8×	220 3.3×	18	750
Nathan H. Clemens	620 1.1×	372 1.1×	225 1.7×	52 0.6×	107 1.6×	48	781
Lucia Bigozzi	531 0.9×	499 1.4×	72 0.5×	50 0.6×	67 1.0×	74	791
Jan Perney	527 0.9×	487 1.4×	149 1.1×	31 0.4×	34 0.5×	31	664

Countries citing papers authored by John J. Pikulski

Since Specialization

Citations

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

Fields of papers citing papers by John J. Pikulski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Pikulski. 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 John J. Pikulski. The network helps show where John J. Pikulski may publish in the future.

Co-authorship network of co-authors of John J. Pikulski

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Pikulski. A scholar is included among the top collaborators of John J. Pikulski 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 John J. Pikulski. John J. Pikulski 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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