Kashunda L. Williams

747 total citations
7 papers, 487 citations indexed

About

Kashunda L. Williams is a scholar working on Developmental and Educational Psychology, Clinical Psychology and Education. According to data from OpenAlex, Kashunda L. Williams has authored 7 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental and Educational Psychology, 3 papers in Clinical Psychology and 3 papers in Education. Recurrent topics in Kashunda L. Williams's work include Behavioral and Psychological Studies (5 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Reading and Literacy Development (2 papers). Kashunda L. Williams is often cited by papers focused on Behavioral and Psychological Studies (5 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Reading and Literacy Development (2 papers). Kashunda L. Williams collaborates with scholars based in United States. Kashunda L. Williams's co-authors include George H. Noell, J Resetár, Joseph C. Witt, James E. Connell, Susan L. Gatti, Gary J. Duhon, Kristin A. Gansle, Amanda M. VanDerHeyden, Shannon M. Suldo and Scott P. Ardoin and has published in prestigious journals such as School Psychology Review, School Psychology Quarterly and Journal of Behavioral Education.

In The Last Decade

Kashunda L. Williams

7 papers receiving 426 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kashunda L. Williams United States 6 393 198 161 127 58 7 487
J Resetár United States 5 400 1.0× 199 1.0× 149 0.9× 132 1.0× 53 0.9× 6 478
Katherine F. Wickstrom United States 7 365 0.9× 111 0.6× 184 1.1× 115 0.9× 37 0.6× 7 430
Donna Gilbertson United States 10 550 1.4× 251 1.3× 233 1.4× 161 1.3× 52 0.9× 15 682
Barbara J. Ehren United States 12 417 1.1× 210 1.1× 189 1.2× 67 0.5× 27 0.5× 42 605
Jennifer Doolittle United States 8 310 0.8× 249 1.3× 218 1.4× 75 0.6× 39 0.7× 9 506
Barbara Terry United States 9 393 1.0× 277 1.4× 112 0.7× 100 0.8× 16 0.3× 14 534
Billie Jo Rodriguez United States 11 237 0.6× 103 0.5× 130 0.8× 117 0.9× 33 0.6× 17 330
Jennifer T. Freeland United States 8 462 1.2× 138 0.7× 149 0.9× 177 1.4× 33 0.6× 12 519
Tam E. O'Shaughnessy United States 8 367 0.9× 221 1.1× 199 1.2× 126 1.0× 11 0.2× 8 489
Lillian Durán United States 14 493 1.3× 253 1.3× 226 1.4× 150 1.2× 22 0.4× 35 669

Countries citing papers authored by Kashunda L. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Kashunda L. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kashunda L. Williams. 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 Kashunda L. Williams. The network helps show where Kashunda L. Williams may publish in the future.

Co-authorship network of co-authors of Kashunda L. Williams

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

All Works

7 of 7 papers shown
1.
Noell, George H., et al.. (2017). Evaluating an integrated support model for increasing treatment plan implementation following consultation in schools.. School Psychology Quarterly. 32(4). 525–538. 9 indexed citations
2.
Williams, Kashunda L., George H. Noell, Beth A. Jones, & Kristin A. Gansle. (2012). Modifying Students' Classroom Behaviors Using an Electronic Daily Behavior Report Card. Child & Family Behavior Therapy. 34(4). 269–289. 17 indexed citations
3.
Jones, Beth A. & Kashunda L. Williams. (2011). Perceptions of Vocational Training with Elementary Special Education Students: A Case Study.. International Journal of Special Education (IJSE). 26(1). 125–135. 4 indexed citations
4.
Gansle, Kristin A., Amanda M. VanDerHeyden, George H. Noell, J Resetár, & Kashunda L. Williams. (2006). The Technical Adequacy of Curriculum-Based and Rating-Based Measures of Written Expression for Elementary School Students. School Psychology Review. 35(3). 435–450. 65 indexed citations
5.
Noell, George H., et al.. (2006). Providing Practicing Teachers Classroom Management Professional Development in a Brief Self-Study Format. Journal of Behavioral Education. 15(4). 215–228. 28 indexed citations
6.
Noell, George H., Joseph C. Witt, James E. Connell, et al.. (2005). Treatment Implementation Following Behavioral Consultation in Schools: A Comparison of Three Follow-up Strategies. School Psychology Review. 34(1). 87–106. 297 indexed citations
7.
Ardoin, Scott P., Joseph C. Witt, Shannon M. Suldo, et al.. (2004). Examining the Incremental Benefits of Administering a Maze and Three Versus One Curriculum-Based Measurement Reading Probes When Conducting Universal Screening. School Psychology Review. 33(2). 218–233. 67 indexed citations

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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