Virginia Pannabecker

2.7k citations
9 papers · 67 indexed · h-index 4
Topics
Health Sciences Research and Education (3 papers)Doctoral Education Challenges and Solutions (3 papers)Health and Medical Research Impacts (2 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the Medical Library Association JMLANurse Educator
Partner nations
United StatesCanada

In The Last Decade

Virginia Pannabecker

8 papers receiving 64 citations

Peers

Virginia Pannabecker
Comparison fields: 5 of 28
  • General Health Professions 36
  • Education 23
  • Public Health, Environmental and Occupational Health 22
  • Library and Information Sciences 10
  • Statistics, Probability and Uncertainty 8
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Citations per field
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Citations per year

Countries citing papers authored by Virginia Pannabecker

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Pannabecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Pannabecker

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 2
2
What Do Faculty Think About Researcher Profiles, Metrics, and Fair Research Assessment? A Case Study from a Research University in the Southeastern United States
1
3
Faculty Perceptions on Research Impact Metrics, Researcher Profile Systems, Fairness of Research Evaluation, and Time Allocations
1
4
Digging Deeper into Text and Data Mining
1
5
Library Support for Text and Data Mining: A Report for the University Libraries at Virginia Tech
1
6 4
7 34
8 14
9 9

About Virginia Pannabecker

Virginia Pannabecker is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and General Health Professions, having authored 9 papers that have together received 67 indexed citations. Recurring topics across this work include Health Sciences Research and Education (3 papers), Doctoral Education Challenges and Solutions (3 papers) and Health and Medical Research Impacts (2 papers). The work is most often cited by research in Library and Information Sciences (10 citations), Research and Theory (3 citations) and Issues, ethics and legal aspects (3 citations). Virginia Pannabecker has collaborated with scholars based in United States and Canada. Frequent co-authors include Cristina S. Barroso, Christine Marton, Kelly K. O’Brien, Stephanie Swanberg, Jim A. Kuypers and Philip Young. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Medical Library Association JMLA and Nurse Educator.

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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