Sarah M. Bonner

537 total citations
23 papers, 320 citations indexed

About

Sarah M. Bonner is a scholar working on Education, Developmental and Educational Psychology and Information Systems and Management. According to data from OpenAlex, Sarah M. Bonner has authored 23 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Education, 8 papers in Developmental and Educational Psychology and 3 papers in Information Systems and Management. Recurrent topics in Sarah M. Bonner's work include Student Assessment and Feedback (10 papers), Innovative Teaching and Learning Methods (7 papers) and Education and Critical Thinking Development (5 papers). Sarah M. Bonner is often cited by papers focused on Student Assessment and Feedback (10 papers), Innovative Teaching and Learning Methods (7 papers) and Education and Critical Thinking Development (5 papers). Sarah M. Bonner collaborates with scholars based in United States. Sarah M. Bonner's co-authors include Peggy P. Chen, Angela M. Lui, Katharine Diehl, Jerome V. D’Agostino, William V. Sweeney, Pamela Mills, Jennifer A. Somers, Howard T. Everson and Leslie S. Keiler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Teaching and Teacher Education and Journal of Chemical Education.

In The Last Decade

Sarah M. Bonner

22 papers receiving 293 citations

Peers

Sarah M. Bonner
Comparison fields: 5 of 48
  • Education 266
  • Developmental and Educational Psychology 84
  • Information Systems and Management 30
  • Computer Science Applications 25
  • Information Systems 24
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Citations per field, relative to Sarah M. Bonner
Sarah M. Bonner · 1×
Citations per year, relative to Sarah M. Bonner
Sarah M. Bonner · 1×

Countries citing papers authored by Sarah M. Bonner

Since Specialization
Citations

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

Fields of papers citing papers by Sarah M. Bonner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah M. Bonner. 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 Sarah M. Bonner. The network helps show where Sarah M. Bonner may publish in the future.

Co-authorship network of co-authors of Sarah M. Bonner

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah M. Bonner. A scholar is included among the top collaborators of Sarah M. Bonner 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 Sarah M. Bonner. Sarah M. Bonner 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
# Work Indexed citations
1 1
2 48
3 6
4 32
5
Systematic Classroom Assessment: An Approach for Learning and Self-Regulation
3
6 2
7 7
8 6
9 9
10 1
11 14
12 1
13 75
14 17
15 12
16 4
17 5
18 15
19 24
20 17

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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