Coby V. Meyers

47 papers receiving 410 citations

Peers

Coby V. Meyers
Comparison fields: 5 of 57
  • Education 348
  • Information Systems and Management 183
  • Management Science and Operations Research 69
  • Developmental and Educational Psychology 48
  • Safety Research 34
Replace Tiiu Strauss with:
Tiiu Strauss Canada
Jennifer Booher‐Jennings United States
W. Kyle Ingle United States
Leigh Parise United States
Jerome T. Murphy Greece
Donna E. Muncey United States
Hans W. Klar United States
Naftaly S. Glasman United States
Jacqueline Baxter United Kingdom
Erica O. Turner United States
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Citations per year

Countries citing papers authored by Coby V. Meyers

Since Specialization
Citations

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

Fields of papers citing papers by Coby V. Meyers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Coby V. Meyers. 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 Coby V. Meyers. The network helps show where Coby V. Meyers may publish in the future.

Co-authorship network of co-authors of Coby V. Meyers

This figure shows the co-authorship network connecting the top 25 collaborators of Coby V. Meyers. A scholar is included among the top collaborators of Coby V. Meyers 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 Coby V. Meyers. Coby V. Meyers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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3 8
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The Best-Laid Plans Can Succeed.
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9 1
10 0
11 16
12 1
13 11
14 11
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Topics and Trends in Short-Cycle Planning: Are Principals Leading School Turnaround Efforts Identifying the Right Priorities?.
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A Comparison of Two Methods of Identifying Beating-the-Odds High Schools in Puerto Rico. REL 2017-167.
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The Impact of the "Enhancing Missouri's Instructional Networked Teaching Strategies" (eMINTS) Program on Student Achievement, 21st-Century Skills, and Academic Engagement--Second-Year Results.
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How Methodology Decisions Affect the Variability of Schools Identified as Beating the Odds. REL 2015-071.rev.
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20 10

About Coby V. Meyers

Coby V. Meyers is a scholar working on Information Systems and Management, Education and Public Administration, having authored 55 papers that have together received 472 indexed citations. Recurring topics across this work include Educational Assessment and Improvement (32 papers), Teacher Education and Leadership Studies (23 papers) and School Choice and Performance (15 papers). The work is most often cited by research in Information Systems and Management (183 citations), Education (348 citations) and Public Administration (27 citations). Coby V. Meyers has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Dallas Hambrick Hitt, Joseph Murphy, Mark A. Smylie, Decoteau J. Irby, Guorong Zhu, Ayrin Molefe, Frank Perrone, Bo Zhu, Craig Hochbein and Devin M. Kearns. Their work appears in journals such as Educational and Psychological Measurement, Teachers College Record The Voice of Scholarship in Education and Educational Evaluation and Policy Analysis.

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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