Leah C. Neubauer
- General Health Professions
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Education top 10%
- Clinical Psychology
- Co-authors
- Gary W. HarperThomas ArchibaldYuka AsadaMichael C. FagenLisa LiebermanStephen BrookfieldVincent T. FranciscoJohn M. LaVelle
- Topics
- Evaluation and Performance Assessment (11 papers)Service-Learning and Community Engagement (6 papers)Health Policy Implementation Science (5 papers)
- Cited by
- Management Science and Operations ResearchPublic AdministrationInformation Systems and Management
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
Leah C. Neubauer
32 papers receiving 261 citations
Peers
Comparison fields: 5 of 85
- General Health Professions 74
- Management Science and Operations Research 72
- Sociology and Political Science 66
- Education 65
- Clinical Psychology 42
Countries citing papers authored by Leah C. Neubauer
This map shows the geographic impact of Leah C. Neubauer'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 Leah C. Neubauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leah C. Neubauer more than expected).
Fields of papers citing papers by Leah C. Neubauer
This network shows the impact of papers produced by Leah C. Neubauer. 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 Leah C. Neubauer. The network helps show where Leah C. Neubauer may publish in the future.
Co-authorship network of co-authors of Leah C. Neubauer
This figure shows the co-authorship network connecting the top 25 collaborators of Leah C. Neubauer. A scholar is included among the top collaborators of Leah C. Neubauer 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 Leah C. Neubauer. Leah C. Neubauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | 21 | |
| 20 | 19 |
About Leah C. Neubauer
Leah C. Neubauer is a scholar working on Management Science and Operations Research, General Health Professions and Public Administration, having authored 33 papers that have together received 276 indexed citations. Recurring topics across this work include Evaluation and Performance Assessment (11 papers), Service-Learning and Community Engagement (6 papers) and Health Policy Implementation Science (5 papers). The work is most often cited by research in Management Science and Operations Research (72 citations), Public Administration (18 citations) and Information Systems and Management (23 citations). Leah C. Neubauer has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Gary W. Harper, Thomas Archibald, Yuka Asada, Michael C. Fagen, Lisa Lieberman, Stephen Brookfield, Vincent T. Francisco, John M. LaVelle, Ruth Enid Zambrana and Jesús Ramírez-Valles. Their work appears in journals such as Circulation, Journal of Marriage and the Family and Academic Medicine.
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.