Justin S. Dyer
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Co-authors
- Sarah DyerStephen A. DyerJoshua M. SpinPhilip S. TsaoJunya AzumaMaureen M. TedescoLars MäegdefesselRonald L. Dalman
- Topics
- Advanced Wireless Communication Techniques (6 papers)Numerical Methods and Algorithms (5 papers)Wireless Communication Networks Research (5 papers)
- Journals
- Journal of the American Statistical AssociationIEEE Transactions on Wireless CommunicationsIEEE Communications Letters
- Partner nations
- United States
In The Last Decade
Justin S. Dyer
29 papers receiving 441 citations
Peers
Comparison fields: 5 of 124
- Electrical and Electronic Engineering 99
- Computer Networks and Communications 57
- Pulmonary and Respiratory Medicine 55
- Computer Vision and Pattern Recognition 51
- Control and Systems Engineering 46
Countries citing papers authored by Justin S. Dyer
This map shows the geographic impact of Justin S. Dyer'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 Justin S. Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin S. Dyer more than expected).
Fields of papers citing papers by Justin S. Dyer
This network shows the impact of papers produced by Justin S. Dyer. 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 Justin S. Dyer. The network helps show where Justin S. Dyer may publish in the future.
Co-authorship network of co-authors of Justin S. Dyer
This figure shows the co-authorship network connecting the top 25 collaborators of Justin S. Dyer. A scholar is included among the top collaborators of Justin S. Dyer 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 Justin S. Dyer. Justin S. Dyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 23 | |
| 16 | 20 | |
| 17 | 1 | |
| 18 | Refinement of Measurement Techniques of Road Profile and International Roughness Index (IRI) to Support the KDOT Pavement Management System (PMS) Annual Road-Condition Survey Research | 3 |
| 19 | 2 | |
| 20 | 243 |
About Justin S. Dyer
Justin S. Dyer is a scholar working on Computational Mathematics, Computer Networks and Communications and Modeling and Simulation, having authored 31 papers that have together received 458 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (6 papers), Numerical Methods and Algorithms (5 papers) and Wireless Communication Networks Research (5 papers). The work is most often cited by research in Computational Mathematics (4 citations), Signal Processing (43 citations) and Modeling and Simulation (15 citations). Justin S. Dyer has collaborated with scholars based in United States. Frequent co-authors include Sarah Dyer, Stephen A. Dyer, Joshua M. Spin, Philip S. Tsao, Junya Azuma, Maureen M. Tedesco, Lars Mäegdefessel, Ronald L. Dalman, Alicia Deng and Balasubramaniam Natarajan. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Wireless Communications and IEEE Communications Letters.
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.