Steven T. Smith
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Alan EdelmanT. A. AriasKaren C. FusonRobert L. SnyderChuansheng MeiZachary T. AanderudBrent L. NielsenJason B. West
- Topics
- Direction-of-Arrival Estimation Techniques (11 papers)Radar Systems and Signal Processing (10 papers)Complex Network Analysis Techniques (8 papers)
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Signal ProcessingIEEE Access
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Steven T. Smith
31 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Signal Processing 551
- Computer Vision and Pattern Recognition 506
- Computational Mechanics 505
- Artificial Intelligence 458
- Computational Theory and Mathematics 352
Countries citing papers authored by Steven T. Smith
This map shows the geographic impact of Steven T. Smith'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 Steven T. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven T. Smith more than expected).
Fields of papers citing papers by Steven T. Smith
This network shows the impact of papers produced by Steven T. Smith. 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 Steven T. Smith. The network helps show where Steven T. Smith may publish in the future.
Co-authorship network of co-authors of Steven T. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Steven T. Smith. A scholar is included among the top collaborators of Steven T. Smith 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 Steven T. Smith. Steven T. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 31 | |
| 3 | 109 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | Network Discovery for uncertain graphs | 0 |
| 8 | Network discovery using wide-area surveillance data | 5 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 49 | |
| 17 | Complexities in Learning Two-Digit Subtraction: A Case Study of Tutored Learning. | 4 |
| 18 | 23 | |
| 19 | 10 | |
| 20 | 22 |
About Steven T. Smith
Steven T. Smith is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 33 papers that have together received 2.6k indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (11 papers), Radar Systems and Signal Processing (10 papers) and Complex Network Analysis Techniques (8 papers). The work is most often cited by research in Computational Mathematics (77 citations), Signal Processing (551 citations) and Numerical Analysis (244 citations). Steven T. Smith has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Alan Edelman, T. A. Arias, Karen C. Fuson, Robert L. Snyder, Chuansheng Mei, Zachary T. Aanderud, Brent L. Nielsen, Jason B. West, Donald B. Rubin and M. Zatman. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Signal Processing and IEEE Access.
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.