Jinn-Guey Lay
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Modeling and Simulation top 5%
- Sociology and Political Science
- Epidemiology
- Co-authors
- Huey‐Jen SuHow‐Ran GuoShih‐Chun Candice LungPei-Chih WuChuan‐Yao LinYu-Wen ChenS. N. Prasanna MurthyKevin C. Hazen
- Topics
- Geographic Information Systems Studies (7 papers)Spatial and Panel Data Analysis (4 papers)Geography Education and Pedagogy (4 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentInfection and Immunity
- Partner nations
- TaiwanIrelandUnited States
In The Last Decade
Jinn-Guey Lay
14 papers receiving 357 citations
Peers
Comparison fields: 5 of 84
- Public Health, Environmental and Occupational Health 193
- Infectious Diseases 159
- Modeling and Simulation 72
- Sociology and Political Science 60
- Epidemiology 38
Countries citing papers authored by Jinn-Guey Lay
This map shows the geographic impact of Jinn-Guey Lay'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 Jinn-Guey Lay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinn-Guey Lay more than expected).
Fields of papers citing papers by Jinn-Guey Lay
This network shows the impact of papers produced by Jinn-Guey Lay. 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 Jinn-Guey Lay. The network helps show where Jinn-Guey Lay may publish in the future.
Co-authorship network of co-authors of Jinn-Guey Lay
This figure shows the co-authorship network connecting the top 25 collaborators of Jinn-Guey Lay. A scholar is included among the top collaborators of Jinn-Guey Lay 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 Jinn-Guey Lay. Jinn-Guey Lay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Exploring the topographic characteristics of settlement toponyms in Taiwan | 2 |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 19 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 215 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | Spatial Variation of the DPP's Expansion between Taiwan's Presidential Elections | 9 |
| 14 | 4 | |
| 15 | Spatial-Linguistic Reasoning in LEI (Locality and Elevation Interpreter) | 5 |
| 16 | 83 |
About Jinn-Guey Lay
Jinn-Guey Lay is a scholar working on Geography, Planning and Development, Economics and Econometrics and General Agricultural and Biological Sciences, having authored 16 papers that have together received 378 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (7 papers), Spatial and Panel Data Analysis (4 papers) and Geography Education and Pedagogy (4 papers). The work is most often cited by research in Modeling and Simulation (72 citations), Infectious Diseases (159 citations) and Public Health, Environmental and Occupational Health (193 citations). Jinn-Guey Lay has collaborated with scholars based in Taiwan, Ireland and United States. Frequent co-authors include Huey‐Jen Su, How‐Ran Guo, Shih‐Chun Candice Lung, Pei-Chih Wu, Chuan‐Yao Lin, Yu-Wen Chen, S. N. Prasanna Murthy, Kevin C. Hazen, Beth W. Hazen and Jay Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Infection and Immunity.
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.