Matthew J. Conway
- Human-Computer Interaction top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Cognitive Neuroscience top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Automotive Engineering top 10%
- Co-authors
- Randy PauschAndrew ForsbergJeffrey S. PierceRobert C. ZeleznikMark MineJohn ViegaGeorge C. Williams
- Topics
- Augmented Reality Applications (5 papers)Interactive and Immersive Displays (3 papers)Tactile and Sensory Interactions (3 papers)
- Cited by
- Human-Computer InteractionComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
- Journals
- interactionsACM SIGGRAPH Computer Graphics
- Partner nations
- United States
In The Last Decade
Matthew J. Conway
6 papers receiving 989 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Human-Computer Interaction 944
- Computer Vision and Pattern Recognition 743
- Cognitive Neuroscience 316
- Computer Graphics and Computer-Aided Design 146
- Automotive Engineering 103
Countries citing papers authored by Matthew J. Conway
This map shows the geographic impact of Matthew J. 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 Matthew J. Conway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Conway more than expected).
Fields of papers citing papers by Matthew J. Conway
This network shows the impact of papers produced by Matthew J. 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 Matthew J. Conway. The network helps show where Matthew J. Conway may publish in the future.
Co-authorship network of co-authors of Matthew J. Conway
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Conway. A scholar is included among the top collaborators of Matthew J. Conway 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 J. Conway. Matthew J. Conway is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Alice: easy-to-learn three-dimensional scripting for novices | 4 |
| 2 | 24 | |
| 3 | 283 | |
| 4 | 138 | |
| 5 | Virtual reality on a WIMbreakdown → | 651 |
| 6 | 4 |
About Matthew J. Conway
Matthew J. Conway is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Augmented Reality Applications (5 papers), Interactive and Immersive Displays (3 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Human-Computer Interaction (944 citations), Computer Graphics and Computer-Aided Design (146 citations) and Computer Vision and Pattern Recognition (743 citations). Matthew J. Conway has collaborated with scholars based in United States. Frequent co-authors include Randy Pausch, Andrew Forsberg, Jeffrey S. Pierce, Robert C. Zeleznik, Mark Mine, John Viega and George C. Williams. Their work appears in journals such as interactions and ACM SIGGRAPH Computer Graphics.
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.