Steven Kay
Impact in
- Signal Processing top 0.05%
- Blind Source Separation Techniques
- Direction-of-Arrival Estimation Techniques
- Speech and Audio Processing
- Computer Networks and Communications top 0.5%
Papers in
-
- Blind Source Separation Techniques 54
- Direction-of-Arrival Estimation Techniques 43
- Co-authors
- S.L. MarpleSailes K. SenguptaPetar M. DjurićV. NageshaBo TangRoger G. PridhamHaibo HePramod K. Varshney
- Journals
- IEEE Transactions on Signal Processing (37 papers)IEEE Signal Processing Letters (20 papers)IEEE Transactions on Aerospace and Electronic Systems (11 papers)Journal of Media Literacy Education (73 papers)Proceedings of the IEEE (4 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Steven Kay
201 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Signal Processing 4.4k
- Computer Networks and Communications 2.4k
- Aerospace Engineering 2.6k
- Computational Mechanics 1.8k
- Artificial Intelligence 2.7k
Countries citing papers authored by Steven Kay
This map shows the geographic impact of Steven Kay'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 Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Kay more than expected).
Fields of papers citing papers by Steven Kay
This network shows the impact of papers produced by Steven Kay. 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 Kay. The network helps show where Steven Kay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven Kay, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 16 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 2 | |
| 6 | 2018 | 10 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 14 | |
| 9 | 2012 | 23 | |
| 10 | A new approach to DTM error estimation basing on Laplacian probability distribution function | 2011 | 2 |
| 11 | 2011 | 39 | |
| 12 | 2008 | 19 | |
| 13 | 2006 | 73 | |
| 14 | 2005 | 2 | |
| 15 | 2005 | 43 | |
| 16 | 1995 | 62 | |
| 17 | 1987 | 19 | |
| 18 | 1986 | 56 | |
| 19 | 1980 | 3 | |
| 20 | 1980 | 45 |
About Steven Kay
Steven Kay is a scholar working on Signal Processing, Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 209 papers that have together received 14.1k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (54 papers), Target Tracking and Data Fusion in Sensor Networks (45 papers), Direction-of-Arrival Estimation Techniques (43 papers), Control Systems and Identification (31 papers), Distributed Sensor Networks and Detection Algorithms (30 papers), Radar Systems and Signal Processing (29 papers), Fault Detection and Control Systems (24 papers) and Underwater Acoustics Research (22 papers). The work is most often cited by research in Signal Processing (4.4k citations), Computer Networks and Communications (2.4k citations), Aerospace Engineering (2.6k citations), Computational Mechanics (1.8k citations) and Artificial Intelligence (2.7k citations). Steven Kay has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include S.L. Marple, Sailes K. Sengupta, Petar M. Djurić, V. Nagesha, Bo Tang, Roger G. Pridham, Haibo He, Pramod K. Varshney, J.H. Michels and Quan Ding. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Aerospace and Electronic Systems, Journal of Media Literacy Education and Proceedings of the IEEE.
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.