Jana J. Burch

426 total citations
15 papers, 254 citations indexed

About

Jana J. Burch is a scholar working on Education, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jana J. Burch has authored 15 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 5 papers in Social Psychology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Jana J. Burch's work include Evaluation of Teaching Practices (3 papers), Creativity in Education and Neuroscience (3 papers) and Education and Critical Thinking Development (2 papers). Jana J. Burch is often cited by papers focused on Evaluation of Teaching Practices (3 papers), Creativity in Education and Neuroscience (3 papers) and Education and Critical Thinking Development (2 papers). Jana J. Burch collaborates with scholars based in United States. Jana J. Burch's co-authors include Gerald F. Burch, Nathan A. Heller, John H. Batchelor, J. Duane Hoover, Robert C. Giambatista, Thomas Bradley, Shanan G. Gibson, Jonali Baruah, William C. McDowell and Andrew Wolfe and has published in prestigious journals such as Small Group Research, Journal of Management Development and Journal of Education for Business.

In The Last Decade

Jana J. Burch

14 papers receiving 243 citations

Peers

Jana J. Burch
Comparison fields: 5 of 74
  • Education 152
  • Management of Technology and Innovation 47
  • Social Psychology 37
  • Developmental and Educational Psychology 33
  • Organizational Behavior and Human Resource Management 33
Replace Nathan A. Heller with:
Nathan A. Heller United States
Nicola Beatson New Zealand
Nicole Larson Canada
Vasiliki Brinia Greece
Elena de Prada Creo Spain
Marilee J. Bresciani United States
Linda Riebe Australia
Diane F. Baker United States
Gerry Rayner Australia
Len Hand United Kingdom
Nathan A. Heller United States View profile →
Citations per field, relative to Jana J. Burch
Jana J. Burch · 1×
Citations per year, relative to Jana J. Burch
Jana J. Burch · 1×

Countries citing papers authored by Jana J. Burch

Since Specialization
Citations

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

Fields of papers citing papers by Jana J. Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jana J. Burch. 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 Jana J. Burch. The network helps show where Jana J. Burch may publish in the future.

Co-authorship network of co-authors of Jana J. Burch

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 4
3 74
4 6
5 1
6 6
7
An Application of Tinto's Student Integration Model and Bandura's Social Cognitive Theory to Student Retention in Stem Disciplines
0
8 8
9 5
10 12
11 91
12 12
13 6
14 11
15 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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