Jeffrey C. Shih

35 total papers · 553 total citations
22 papers, 186 citations indexed

About

Jeffrey C. Shih is a scholar working on Education, Statistics and Probability and Modeling and Simulation. According to data from OpenAlex, Jeffrey C. Shih has authored 22 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Education, 10 papers in Statistics and Probability and 4 papers in Modeling and Simulation. Recurrent topics in Jeffrey C. Shih's work include Mathematics Education and Teaching Techniques (14 papers), Statistics Education and Methodologies (7 papers) and School Choice and Performance (4 papers). Jeffrey C. Shih is often cited by papers focused on Mathematics Education and Teaching Techniques (14 papers), Statistics Education and Methodologies (7 papers) and School Choice and Performance (4 papers). Jeffrey C. Shih collaborates with scholars based in United States, Canada and United Kingdom. Jeffrey C. Shih's co-authors include Cynthia Carter Ching, Yasmin B. Kafai, Megan L. Franke, Heather C. Hill, Robert E. Reys, Bengt Muthén, Crystal Kalinec-Craig, Booil Jo, Siek-Toon Khoo and Bárbara J. Reys and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal for Research in Mathematics Education and Educational Evaluation and Policy Analysis.

In The Last Decade

Jeffrey C. Shih

20 papers receiving 155 citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey C. Shih 110 81 37 37 21 22 186
Heather Howell 207 1.9× 82 1.0× 18 0.5× 49 1.3× 29 1.4× 24 244
Alice Hansen 163 1.5× 70 0.9× 42 1.1× 67 1.8× 14 0.7× 14 235
Michela Maschietto 204 1.9× 62 0.8× 28 0.8× 54 1.5× 36 1.7× 37 266
Luis Moreno–Armella 219 2.0× 119 1.5× 44 1.2× 63 1.7× 22 1.0× 27 281
Björn Schwarz 212 1.9× 52 0.6× 20 0.5× 57 1.5× 11 0.5× 14 246
Osama Swidan 160 1.5× 102 1.3× 57 1.5× 46 1.2× 6 0.3× 27 242
Jonas Bergman Ärlebäck 176 1.6× 76 0.9× 20 0.5× 69 1.9× 7 0.3× 33 234
Jodie Miller 183 1.7× 63 0.8× 50 1.4× 52 1.4× 13 0.6× 37 250
Peter Frejd 153 1.4× 50 0.6× 19 0.5× 46 1.2× 14 0.7× 24 197
Elizabeth Dyer 193 1.8× 81 1.0× 27 0.7× 25 0.7× 50 2.4× 16 257

Countries citing papers authored by Jeffrey C. Shih

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey C. Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey C. Shih. 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 Jeffrey C. Shih. The network helps show where Jeffrey C. Shih may publish in the future.

Co-authorship network of co-authors of Jeffrey C. Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey C. Shih. A scholar is included among the top collaborators of Jeffrey C. Shih 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 Jeffrey C. Shih. Jeffrey C. Shih 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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