John Conway
Impact in
- Gender Studies top 10%
- Gender Politics and Representation
- Gender Roles and Identity Studies
- Gender Diversity and Inequality
- Gender, Feminism, and Media
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- Social Media and Politics
Papers in
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- Social and Intergroup Psychology 2
- Hong Kong and Taiwan Politics 1
- Racial and Ethnic Identity Research 1
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- Network Security and Intrusion Detection 1
- Co-authors
- Kate A. Ratliff (2 shared papers)Liz Redford (1 shared paper)Colin Tucker Smith (1 shared paper)Gabrielle Pogge (1 shared paper)Nikolette P. Lipsey (1 shared paper)Jeremy Clark (1 shared paper)Stefan Popoveniuc (1 shared paper)Travis Mayberry (1 shared paper)
- Journals
- Group Processes & Intergroup Relations (1 paper)Social Psychology (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United States
In The Last Decade
John Conway
2 papers receiving 77 citations
Peers
Comparison fields: 5 of 18
- Gender Studies 50
- Communication 10
- Political Science and International Relations 29
- Sociology and Political Science 47
- Applied Psychology 3
Countries citing papers authored by John Conway
This map shows the geographic impact of John Conway'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 John Conway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Conway more than expected).
Fields of papers citing papers by John Conway
This network shows the impact of papers produced by John Conway. 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 John Conway. The network helps show where John Conway may publish in the future.
Co-authors
The 16 scholars most cited alongside John Conway, 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 | 2017 | 69 | |
| 2 | 2017 | 8 | |
| 3 | Scantegrity Responds to Rice Study on Usability of the Scantegrity II Voting System | 2014 | 0 |
About John Conway
John Conway is a scholar working on Sociology and Political Science, Computer Networks and Communications, Political Science and International Relations, Social Psychology and Artificial Intelligence, having authored 3 papers that have together received 77 indexed citations. Recurring topics across this work include Social and Intergroup Psychology (2 papers), Cultural Differences and Values (1 paper), Electoral Systems and Political Participation (1 paper), Hong Kong and Taiwan Politics (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper), Gender Politics and Representation (1 paper), Racial and Ethnic Identity Research (1 paper) and Network Security and Intrusion Detection (1 paper). The work is most often cited by research in Gender Studies (50 citations), Communication (10 citations), Political Science and International Relations (29 citations), Sociology and Political Science (47 citations) and Applied Psychology (3 citations). John Conway has collaborated with scholars based in United States. Frequent co-authors include Kate A. Ratliff, Liz Redford, Colin Tucker Smith, Gabrielle Pogge, Nikolette P. Lipsey, Jeremy Clark, Stefan Popoveniuc, Travis Mayberry, David Chaum and Aleksander Essex. Their work appears in journals such as Group Processes & Intergroup Relations, Social Psychology and DSpace@MIT (Massachusetts Institute of Technology).
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.