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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- Human-Automation Interaction and Safety 13
-
- Bayesian Methods and Mixture Models 5
- Multi-Agent Systems and Negotiation 5
- Gaussian Processes and Bayesian Inference 4
- Co-authors
- Jeffrey M. BradshawPaul J. FeltovichRobert R. HoffmanAlonso VeraMaarten SierhuisCatholijn M. JonkerM. Birna van RiemsdijkDavid D. Woods
- Journals
- IEEE Intelligent Systems (4 papers)Bulletin of the Atomic Scientists (1 paper)Nature Neuroscience (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)Journal of Management Information Systems (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 381
- Artificial Intelligence 501
- Management Information Systems 119
- Radiological and Ultrasound Technology 64
- Health Informatics 16
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | Learning Differential Equations that are Easy to Solve | 2020 | 4 |
| 3 | Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models | 2018 | 2 |
| 4 | Composing graphical models with neural networks for structured representations and fast inference | 2016 | 58 |
| 5 | 2016 | 6 | |
| 6 | Structured VAEs: Composing Probabilistic Graphical Models and Variational Autoencoders | 2016 | 8 |
| 7 | Cross-corpora unsupervised learning of trajectories in autism spectrum disorders | 2016 | 3 |
| 8 | 2016 | 21 | |
| 9 | 2015 | 19 | |
| 10 | 2015 | 6 | |
| 11 | Stochastic Variational Inference for Bayesian Time Series Models | 2014 | 37 |
| 12 | 2011 | 9 | |
| 13 | 2011 | 44 | |
| 14 | 2010 | 5 | |
| 15 | 2010 | 2 | |
| 16 | 2008 | 47 | |
| 17 | 2008 | 1 | |
| 18 | 2008 | 3 | |
| 19 | Visuo-Cognitive Perspective Taking for Action Recognition | 2007 | 2 |
| 20 | 1996 | 141 |
About Matthew Johnson
Matthew Johnson is a scholar working on Social Psychology, Artificial Intelligence, Communication, Human-Computer Interaction and Control and Systems Engineering, 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), Bayesian Methods and Mixture Models (5 papers), Multi-Agent Systems and Negotiation (5 papers), Systems Engineering Methodologies and Applications (5 papers), Service-Oriented Architecture and Web Services (5 papers), Disaster Management and Resilience (4 papers), Public Relations and Crisis Communication (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). The work is most often cited by research in Social Psychology (381 citations), Artificial Intelligence (501 citations), Management Information Systems (119 citations), Radiological and Ultrasound Technology (64 citations) and Health Informatics (16 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, Catholijn M. Jonker, M. Birna van Riemsdijk, David D. Woods, Ryan P. Adams and Alexander B. Wiltschko. Their work appears in journals such as IEEE Intelligent Systems, Bulletin of the Atomic Scientists, Nature Neuroscience, ACM Transactions on Intelligent Systems and Technology and Journal of Management Information Systems.
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.