Jennifer Chubb
- Political Science and International Relations top 5%
- Sociology and Political Science
- Education top 10%
- General Health Professions
- Management Science and Operations Research top 10%
- Co-authors
- Richard WatermeyerMark S. ReedPeter CowlingDarren ReedPaul WakelingIan James KiddGemma DerrickGeoffrey Haddock
- Topics
- Doctoral Education Challenges and Solutions (6 papers)scientometrics and bibliometrics research (4 papers)Evaluation of Teaching Practices (4 papers)
- Cited by
- Health InformaticsStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United KingdomIndia
In The Last Decade
Jennifer Chubb
14 papers receiving 510 citations
Peers
Comparison fields: 5 of 100
- Political Science and International Relations 118
- Sociology and Political Science 109
- Education 104
- General Health Professions 82
- Management Science and Operations Research 82
Countries citing papers authored by Jennifer Chubb
This map shows the geographic impact of Jennifer Chubb'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 Jennifer Chubb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Chubb more than expected).
Fields of papers citing papers by Jennifer Chubb
This network shows the impact of papers produced by Jennifer Chubb. 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 Jennifer Chubb. The network helps show where Jennifer Chubb may publish in the future.
Co-authorship network of co-authors of Jennifer Chubb
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Chubb. A scholar is included among the top collaborators of Jennifer Chubb 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 Jennifer Chubb. Jennifer Chubb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 25 | |
| 3 | 93 | |
| 4 | 24 | |
| 5 | 24 | |
| 6 | 13 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 63 | |
| 10 | 63 | |
| 11 | 17 | |
| 12 | 61 | |
| 13 | 1 | |
| 14 | 119 |
About Jennifer Chubb
Jennifer Chubb is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and Safety Research, having authored 14 papers that have together received 529 indexed citations. Recurring topics across this work include Doctoral Education Challenges and Solutions (6 papers), scientometrics and bibliometrics research (4 papers) and Evaluation of Teaching Practices (4 papers). The work is most often cited by research in Health Informatics (49 citations), Statistics, Probability and Uncertainty (61 citations) and Management Science and Operations Research (82 citations). Jennifer Chubb has collaborated with scholars based in United Kingdom and India. Frequent co-authors include Richard Watermeyer, Mark S. Reed, Peter Cowling, Darren Reed, Paul Wakeling, Ian James Kidd, Gemma Derrick, Geoffrey Haddock, Netta Weinstein and James Wilsdon. Their work appears in journals such as Studies in Higher Education, Higher Education Research & Development and AI & Society.
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.