Kimberly P. Weber

54 total papers · 508 total citations
38 papers, 344 citations indexed

About

Kimberly P. Weber is a scholar working on Developmental and Educational Psychology, Education and Statistics and Probability. According to data from OpenAlex, Kimberly P. Weber has authored 38 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Developmental and Educational Psychology, 14 papers in Education and 14 papers in Statistics and Probability. Recurrent topics in Kimberly P. Weber's work include Behavioral and Psychological Studies (20 papers), Reading and Literacy Development (14 papers) and Cognitive and developmental aspects of mathematical skills (14 papers). Kimberly P. Weber is often cited by papers focused on Behavioral and Psychological Studies (20 papers), Reading and Literacy Development (14 papers) and Cognitive and developmental aspects of mathematical skills (14 papers). Kimberly P. Weber collaborates with scholars based in United States and Germany. Kimberly P. Weber's co-authors include T. F. McLaughlin, K. Mark Derby, T. F. McLaughlin, Anjali Barretto, Elizabeth Scott, Ralph Gardner, Christine Park, Randy Lee Williams, Rowan McLaughlin and Angela H. Becker and has published in prestigious journals such as Journal of Applied Behavior Analysis, Psychology in the Schools and Remedial and Special Education.

In The Last Decade

Kimberly P. Weber

37 papers receiving 277 citations

Author Peers

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

Author Last Decade Papers Cites
Kimberly P. Weber 267 120 108 99 40 38 344
Kay B. Stevens 231 0.9× 106 0.9× 82 0.8× 68 0.7× 43 1.1× 18 328
Ae-Hwa Kim 219 0.8× 176 1.5× 61 0.6× 47 0.5× 47 1.2× 42 298
Rosa A. Hagin 195 0.7× 82 0.7× 65 0.6× 79 0.8× 31 0.8× 30 354
Doris J. Johnson 197 0.7× 104 0.9× 54 0.5× 83 0.8× 39 1.0× 30 352
Alex Bannatyne 245 0.9× 94 0.8× 82 0.8× 63 0.6× 57 1.4× 29 381
Douglas E. Kostewicz 267 1.0× 67 0.6× 53 0.5× 125 1.3× 62 1.6× 30 310
Wim Tops 247 0.9× 121 1.0× 84 0.8× 105 1.1× 12 0.3× 25 333
Linda Fälth 234 0.9× 142 1.2× 63 0.6× 55 0.6× 39 1.0× 45 343
Gaye McNutt 208 0.8× 159 1.3× 73 0.7× 42 0.4× 57 1.4× 15 360
Kathleen M. McCoy 267 1.0× 163 1.4× 41 0.4× 199 2.0× 112 2.8× 22 403

Countries citing papers authored by Kimberly P. Weber

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly P. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly P. Weber. 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 Kimberly P. Weber. The network helps show where Kimberly P. Weber may publish in the future.

Co-authorship network of co-authors of Kimberly P. Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly P. Weber. A scholar is included among the top collaborators of Kimberly P. Weber 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 Kimberly P. Weber. Kimberly P. Weber 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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