Matthew Green
- Information Systems top 5%
- Signal Processing top 5%
- Sociology and Political Science
- Artificial Intelligence
- Economics and Econometrics top 10%
- Co-authors
- Matthew SmithRobert SavitHeidi WhitmoreJon R. GabelRoss AndersonJosh BenalohSusan LandauWhitfield Diffie
- Topics
- Healthcare Policy and Management (9 papers)Electoral Systems and Political Participation (5 papers)Primary Care and Health Outcomes (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Matthew Green
30 papers receiving 394 citations
Peers
Comparison fields: 5 of 83
- Information Systems 142
- Signal Processing 108
- Sociology and Political Science 85
- Artificial Intelligence 84
- Economics and Econometrics 81
Countries citing papers authored by Matthew Green
This map shows the geographic impact of Matthew Green'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 Matthew Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Green more than expected).
Fields of papers citing papers by Matthew Green
This network shows the impact of papers produced by Matthew Green. 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 Matthew Green. The network helps show where Matthew Green may publish in the future.
Co-authorship network of co-authors of Matthew Green
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Green. A scholar is included among the top collaborators of Matthew Green 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 Matthew Green. Matthew Green 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 | 4 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | Competition and Premium Costs in Single-Insurer Marketplaces: A Study of Five Rural States. | 1 |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 117 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | Impact of student approaches to ALURE: 'Swimming lessons' in the undergraduate laboratory | 1 |
| 17 | The ALURE of Massified Undergraduate Research | 1 |
| 18 | 2 | |
| 19 | 11 | |
| 20 | Sex on the Internet: A Legal Click or an Illicit Trick? | 1 |
About Matthew Green
Matthew Green is a scholar working on Architecture, Economics and Econometrics and Media Technology, having authored 38 papers that have together received 429 indexed citations. Recurring topics across this work include Healthcare Policy and Management (9 papers), Electoral Systems and Political Participation (5 papers) and Primary Care and Health Outcomes (4 papers). The work is most often cited by research in Signal Processing (108 citations), Information Systems (142 citations) and Architecture (7 citations). Matthew Green has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Matthew Smith, Robert Savit, Heidi Whitmore, Jon R. Gabel, Ross Anderson, Josh Benaloh, Susan Landau, Whitfield Diffie, Peter G. Neumann and Michael A. Specter. Their work appears in journals such as Communications of the ACM, Health Affairs and Physica D Nonlinear Phenomena.
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.