Jon Johnson
Impact in
- General Social Sciences top 10%
- Computational and Text Analysis Methods
Papers in
-
- Expert finding and Q&A systems 2
- Spam and Phishing Detection 1
-
- Canadian Policy and Governance 3
- Co-authors
- H. J. Moss (2 shared papers)Suparna De (5 shared papers)Wei Wang (1 shared paper)Iain Buchan (1 shared paper)Haiyang Zhang (1 shared paper)Nishanth Sastry (1 shared paper)Yuqi Wang (1 shared paper)John Ainsworth (1 shared paper)
- Journals
- Scientific Reports (1 paper)SHILAP Revista de lepidopterología (1 paper)Studies in health technology and informatics (1 paper)View (1 paper)SSRN Electronic Journal (2 papers)
- Partner nations
- United KingdomChina
In The Last Decade
Jon Johnson
7 papers receiving 28 citations
Peers
Comparison fields: 5 of 31
- General Social Sciences 7
- Health Informatics 1
- Political Science and International Relations 9
- Artificial Intelligence 12
- General Economics, Econometrics and Finance 3
Countries citing papers authored by Jon Johnson
This map shows the geographic impact of Jon Johnson'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 Jon Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Johnson more than expected).
Fields of papers citing papers by Jon Johnson
This network shows the impact of papers produced by Jon Johnson. 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 Jon Johnson. The network helps show where Jon Johnson may publish in the future.
Co-authors
The 9 scholars most cited alongside Jon Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 11 | |
| 2 | 2017 | 7 | |
| 3 | The North American Free Trade Agreement : a comprehensive guide | 1994 | 6 |
| 4 | 2022 | 5 | |
| 5 | The Free Trade Agreement : a comprehensive guide | 1988 | 3 |
| 6 | How Will International Trade Agreements Affect Canadian Health Care | 2002 | 2 |
| 7 | 2017 | 1 | |
| 8 | 70 Years of UK Birth Cohort Data into DDI Lifecycle | 2012 | 1 |
| 9 | 2022 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2019 | 0 | |
| 12 | 2025 | 0 |
About Jon Johnson
Jon Johnson is a scholar working on Information Systems, Political Science and International Relations, Artificial Intelligence, Sociology and Political Science and Management Science and Operations Research, having authored 12 papers that have together received 36 indexed citations. Recurring topics across this work include Canadian Policy and Governance (3 papers), Expert finding and Q&A systems (2 papers), Topic Modeling (2 papers), Computational and Text Analysis Methods (2 papers), Semantic Web and Ontologies (1 paper), Spam and Phishing Detection (1 paper), Global Public Health Policies and Epidemiology (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in General Social Sciences (7 citations), Health Informatics (1 citation), Political Science and International Relations (9 citations), Artificial Intelligence (12 citations) and General Economics, Econometrics and Finance (3 citations). Jon Johnson has collaborated with scholars based in United Kingdom and China. Frequent co-authors include H. J. Moss, Suparna De, Wei Wang, Iain Buchan, Haiyang Zhang, Nishanth Sastry, Yuqi Wang, John Ainsworth and Philip Couch. Their work appears in journals such as Scientific Reports, SHILAP Revista de lepidopterología, Studies in health technology and informatics, View and SSRN Electronic Journal.
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.