Matthew Johnson
Impact in
- Social Psychology top 5%
- Human-Automation Interaction and Safety
- Artificial Intelligence top 2%
- Multi-Agent Systems and Negotiation
- Semantic Web and Ontologies
Papers in
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- Multi-Agent Systems and Negotiation 5
- Semantic Web and Ontologies 4
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- Human-Automation Interaction and Safety 13
- Social Robot Interaction and HRI 4
- Co-authors
- Jeffrey M. Bradshaw (18 shared papers)Paul J. Feltovich (10 shared papers)Robert R. Hoffman (5 shared papers)Alonso Vera (1 shared paper)Maarten Sierhuis (5 shared papers)M. Birna van Riemsdijk (3 shared papers)Catholijn M. Jonker (4 shared papers)David D. Woods (1 shared paper)
- Journals
- IEEE Intelligent Systems (4 papers)Bulletin of the Atomic Scientists (1 paper)AI Magazine (1 paper)Public Management Review (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Matthew Johnson
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 135
- Social Psychology 382
- Artificial Intelligence 504
- Management Information Systems 119
- Radiological and Ultrasound Technology 62
- Safety Research 98
Countries citing papers authored by Matthew Johnson
This map shows the geographic impact of Matthew 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 Matthew Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Johnson more than expected).
Fields of papers citing papers by Matthew Johnson
This network shows the impact of papers produced by Matthew 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 Matthew Johnson. The network helps show where Matthew Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew 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
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 186 | |
| 2 | 2013 | 145 | |
| 3 | 2020 | 144 | |
| 4 | 1996 | 140 | |
| 5 | 2004 | 111 | |
| 6 | 2019 | 79 | |
| 7 | Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems | 2017 | 64 |
| 8 | Composing graphical models with neural networks for structured representations and fast inference | 2016 | 58 |
| 9 | 2008 | 47 | |
| 10 | 2011 | 44 | |
| 11 | 2005 | 43 | |
| 12 | 2019 | 43 | |
| 13 | Stochastic Variational Inference for Bayesian Time Series Models | 2014 | 38 |
| 14 | 2003 | 22 | |
| 15 | 2016 | 21 | |
| 16 | 2015 | 19 | |
| 17 | 2018 | 17 | |
| 18 | 2008 | 13 | |
| 19 | 2011 | 12 | |
| 20 | 2023 | 11 |
About Matthew Johnson
Matthew Johnson is a scholar working on Artificial Intelligence, Social Psychology, Control and Systems Engineering, Sociology and Political Science and Information Systems, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (13 papers), Service-Oriented Architecture and Web Services (5 papers), Multi-Agent Systems and Negotiation (5 papers), Systems Engineering Methodologies and Applications (5 papers), Disaster Management and Resilience (4 papers), Public Relations and Crisis Communication (4 papers), Semantic Web and Ontologies (4 papers) and Social Robot Interaction and HRI (4 papers). The work is most often cited by research in Social Psychology (382 citations), Artificial Intelligence (504 citations), Management Information Systems (119 citations), Radiological and Ultrasound Technology (62 citations) and Safety Research (98 citations). Matthew Johnson has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Jeffrey M. Bradshaw, Paul J. Feltovich, Robert R. Hoffman, Alonso Vera, Maarten Sierhuis, M. Birna van Riemsdijk, Catholijn M. Jonker, David D. Woods, Ryan P. Adams and Sandeep Robert Datta. Their work appears in journals such as IEEE Intelligent Systems, Bulletin of the Atomic Scientists, AI Magazine, Public Management Review and Journal of Machine Learning Research.
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.