Paul D. Teal

2.2k total citations
119 papers, 1.6k citations indexed

About

Paul D. Teal is a scholar working on Electrical and Electronic Engineering, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Paul D. Teal has authored 119 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 32 papers in Signal Processing and 26 papers in Computer Networks and Communications. Recurrent topics in Paul D. Teal's work include Advanced MIMO Systems Optimization (23 papers), Advanced Adaptive Filtering Techniques (21 papers) and Cognitive Radio Networks and Spectrum Sensing (20 papers). Paul D. Teal is often cited by papers focused on Advanced MIMO Systems Optimization (23 papers), Advanced Adaptive Filtering Techniques (21 papers) and Cognitive Radio Networks and Spectrum Sensing (20 papers). Paul D. Teal collaborates with scholars based in New Zealand, United Kingdom and India. Paul D. Teal's co-authors include Kok‐Lim Alvin Yau, Peter Komisarczuk, Ben D. Bell, Andrew Digby, Michael Towsey, Rodney A. Kennedy, Pawel A. Dmochowski, Thushara D. Abhayapala, Maximilian Fisser and Rodney A. Badcock and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of the Acoustical Society of America.

In The Last Decade

Paul D. Teal

114 papers receiving 1.5k citations

Peers

Paul D. Teal

EEE

CNC

Ralph E. Hudson United States

Miao Yu United States

Manuel Rosa-Zurera Spain

James A. Flint United Kingdom

Neal A. Hall United States

Nobutaka Ono Japan

Ping Yang China

Makoto Otani Japan

Craig Jin Australia

Ming Bao China

Ralph E. Hudson United States

Paul D. Teal

1.0k ×1.4

EEE

460 ×1.1

CNC

929 ×3.4

114 ×0.5

93 ×0.4

Citations per year, relative to Paul D. Teal Paul D. Teal (= 1×) peers Ralph E. Hudson

Countries citing papers authored by Paul D. Teal

Since Specialization

Citations

This map shows the geographic impact of Paul D. Teal'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 Paul D. Teal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul D. Teal more than expected).

Fields of papers citing papers by Paul D. Teal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D. Teal. 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 Paul D. Teal. The network helps show where Paul D. Teal may publish in the future.

Co-authorship network of co-authors of Paul D. Teal

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Teal. A scholar is included among the top collaborators of Paul D. Teal 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 Paul D. Teal. Paul D. Teal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Basu, Subhadip, Alistair Knott, Dino Pedreschi, et al.. (2024). Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario. CINECA IRIS Institutial research information system (University of Pisa). 75–84. 1 indexed citations

Knott, Alistair, Dino Pedreschi, Susan Leavy, et al.. (2024). AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics and Information Technology. 26(4). 2 indexed citations

Wu, Can, et al.. (2024). Investigation on the performances of thrust ball bearing with a novel oil self-transportation biomimetic composite guiding surface. Alexandria Engineering Journal. 110. 579–594. 1 indexed citations

Knott, Alistair, Dino Pedreschi, Susan Leavy, et al.. (2024). Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics and Information Technology. 26(4). 1 indexed citations

Teal, Paul D., et al.. (2024). Bayesian NMR petrophysical characterization. Journal of Magnetic Resonance. 362. 107663–107663. 1 indexed citations

Knott, Alistair, Dino Pedreschi, Raja Chatila, et al.. (2023). Generative AI models should include detection mechanisms as a condition for public release. Ethics and Information Technology. 25(4). 20 indexed citations

Galvosas, Petrik, et al.. (2022). Oxygen saturation-dependent effects on blood transverse relaxation at low fields. Magnetic Resonance Materials in Physics Biology and Medicine. 35(5). 805–815. 4 indexed citations

Teal, Paul D., et al.. (2019). Performance of the matched filter in sonar systems having time variable gain. IET Radar Sonar & Navigation. 14(3). 425–430. 1 indexed citations

Teal, Paul D., et al.. (2018). Is the Cushing mechanism a dynamic blood pressure-stabilizing system? Insights from Granger causality analysis of spontaneous blood pressure and cerebral blood flow. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 315(3). R484–R495. 28 indexed citations

10.

Betlehem, Terence, et al.. (2018). Fast Algorithms for Acoustic Impulse Response Shaping. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(2). 392–403. 4 indexed citations

11.

Betlehem, Terence, et al.. (2017). A Statistically Robust Approach to Acoustic Impulse Response Shaping. IEEE Signal Processing Letters. 24(8). 1138–1142. 1 indexed citations

12.

Tzeng, Yu‐Chieh, et al.. (2017). Detection of Impaired Sympathetic Cerebrovascular Control Using Functional Biomarkers Based on Principal Dynamic Mode Analysis. Frontiers in Physiology. 7. 685–685. 8 indexed citations

13.

Teal, Paul D., et al.. (2014). Particle filter parallelisation using random network based resampling. International Conference on Information Fusion. 1–8. 5 indexed citations

14.

Teal, Paul D., et al.. (2014). Adapting the multi-Bernoulli filter to phased array observations using MUSIC as pseudo-likelihood. International Conference on Information Fusion. 1–8. 10 indexed citations

15.

Teal, Paul D.. (2014). Matrix factorisations for the estimation of NMR relaxation distributions. Diffusion fundamentals.. 22. 2 indexed citations

16.

Teal, Paul D., et al.. (2013). Real-time detection of atrial fibrillation using a low-power ECG monitor. Computing in Cardiology. 743–746. 6 indexed citations

17.

Teal, Paul D., et al.. (2013). Soft resampling for improved information retention in particle filtering. 4036–4040. 6 indexed citations

18.

Yau, Kok‐Lim Alvin, Peter Komisarczuk, & Paul D. Teal. (2011). Learning mechanisms for achieving context awareness and intelligence in Cognitive Radio networks. 738–745. 1 indexed citations

19.

Scott, N.L., et al.. (2008). Signal Separation for Non-invasive Monitoring of Foetal Heartbeat. 497–501. 4 indexed citations

20.

Teal, Paul D., et al.. (2007). Testicular and spermatozoan parameters in the pukeko (Porphyrio porphyrio melanotus). Animal Reproduction Science. 109(1-4). 330–342. 6 indexed citations

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.

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