Rebecca Kanive

22 total papers · 470 total citations
12 papers, 295 citations indexed

About

Rebecca Kanive is a scholar working on Developmental and Educational Psychology, Education and Statistics and Probability. According to data from OpenAlex, Rebecca Kanive has authored 12 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Developmental and Educational Psychology, 6 papers in Education and 6 papers in Statistics and Probability. Recurrent topics in Rebecca Kanive's work include Cognitive and developmental aspects of mathematical skills (6 papers), Reading and Literacy Development (5 papers) and Mathematics Education and Teaching Techniques (3 papers). Rebecca Kanive is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (6 papers), Reading and Literacy Development (5 papers) and Mathematics Education and Teaching Techniques (3 papers). Rebecca Kanive collaborates with scholars based in United States. Rebecca Kanive's co-authors include Matthew K. Burns, Anne F. Zaslofsky, Peter M. Nelson, David C. Parker, James E. Ysseldyke, Jeffrey B. Titus, Asha K. Jitendra, Michael C. Rodriguez, Jim Ysseldyke and Jennifer Hodgson and has published in prestigious journals such as Journal of School Psychology, The Journal of Educational Research and Psychology in the Schools.

In The Last Decade

Rebecca Kanive

12 papers receiving 266 citations

Author Peers

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

Author Last Decade Papers Cites
Rebecca Kanive 179 170 170 37 27 12 295
Abby G. Carlson 231 1.3× 175 1.0× 166 1.0× 43 1.2× 72 2.7× 10 359
Gaye McNutt 208 1.2× 73 0.4× 159 0.9× 39 1.1× 10 0.4× 15 360
Catherine Lam 250 1.4× 104 0.6× 106 0.6× 24 0.6× 26 1.0× 17 310
Joy A. Thompson 135 0.8× 105 0.6× 203 1.2× 12 0.3× 9 0.3× 10 302
Juliane Kohn 180 1.0× 195 1.1× 170 1.0× 24 0.6× 8 0.3× 23 308
Kejin Lee 219 1.2× 149 0.9× 147 0.9× 15 0.4× 9 0.3× 17 362
Kathryn E. Jaspers 127 0.7× 71 0.4× 99 0.6× 19 0.5× 13 0.5× 12 226
Cathy Lussier 252 1.4× 202 1.2× 140 0.8× 22 0.6× 5 0.2× 10 336
Sadie N. Decker 252 1.4× 104 0.6× 96 0.6× 32 0.9× 22 0.8× 14 361
Florina Erbeli 241 1.3× 122 0.7× 152 0.9× 34 0.9× 7 0.3× 28 347

Countries citing papers authored by Rebecca Kanive

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Kanive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Kanive

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