J. Norman Parmer
- Sociology and Political Science top 5%
- Health top 10%
- Political Science and International Relations top 10%
- Communication top 10%
- Economics and Econometrics
- Co-authors
- Vicki S. FreimuthKaren HilyardKevin H. KimSandra Crouse QuinnDonald MusaCheah Boon KhengAnn Laura StolerCynthia Baur
- Topics
- Asian Studies and History (17 papers)Health Literacy and Information Accessibility (5 papers)Tuberculosis Research and Epidemiology (3 papers)
- Journals
- American Sociological ReviewThe American Historical ReviewIndustrial and Labor Relations Review
- Partner nations
- United StatesKenyaNorway
In The Last Decade
J. Norman Parmer
28 papers receiving 431 citations
Peers
Comparison fields: 5 of 96
- Sociology and Political Science 300
- Health 96
- Political Science and International Relations 61
- Communication 60
- Economics and Econometrics 58
Countries citing papers authored by J. Norman Parmer
This map shows the geographic impact of J. Norman Parmer'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 J. Norman Parmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Norman Parmer more than expected).
Fields of papers citing papers by J. Norman Parmer
This network shows the impact of papers produced by J. Norman Parmer. 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 J. Norman Parmer. The network helps show where J. Norman Parmer may publish in the future.
Co-authorship network of co-authors of J. Norman Parmer
This figure shows the co-authorship network connecting the top 25 collaborators of J. Norman Parmer. A scholar is included among the top collaborators of J. Norman Parmer 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 J. Norman Parmer. J. Norman Parmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 44 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 179 | |
| 7 | 8 | |
| 8 | 30 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 20 | |
| 12 | 3 | |
| 13 | 57 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 1 |
About J. Norman Parmer
J. Norman Parmer is a scholar working on Sociology and Political Science, Health and Communication, having authored 30 papers that have together received 510 indexed citations. Recurring topics across this work include Asian Studies and History (17 papers), Health Literacy and Information Accessibility (5 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Health (96 citations), Modeling and Simulation (50 citations) and Communication (60 citations). J. Norman Parmer has collaborated with scholars based in United States, Kenya and Norway. Frequent co-authors include Vicki S. Freimuth, Karen Hilyard, Kevin H. Kim, Sandra Crouse Quinn, Donald Musa, Cheah Boon Kheng, Ann Laura Stoler, Cynthia Baur, Donald L. Rubin and R. S. Milne. Their work appears in journals such as American Sociological Review, The American Historical Review and Industrial and Labor Relations Review.
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.