Paul D. Teal

2.2k citations
119 papers · 1.6k indexed · h-index 21

Paul D. Teal

114 papers receiving 1.5k citations

Peers

Paul D. Teal
Comparison fields: 5 of 119
  • Developmental Biology 229
  • Signal Processing 274
  • Computer Networks and Communications 400
  • Electrical and Electronic Engineering 708
  • Bioengineering 67
Replace Neal A. Hall with:
Neal A. Hall United States
Miao Yu United States
Craig Jin Australia
Ralph E. Hudson United States
Manuel Rosa-Zurera Spain
Ming Bao China
Makoto Otani Japan
Scott L. Thomson United States
William M. Siebert United States
S. Boll United States
Paul D. Teal relative to Neal A. Hall United States Neal A. Hall's profile →
Citations per field
00.5×10.8×
Neal A. Hall · 1×
Citations per year

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

The 25 scholars most cited alongside Paul D. Teal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul D. Teal Line = papers co-authored together Paul D. Teal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20241
4 20241
5 20241
6 202320
7 20224
8 20191
9 201828
10 20184
11 20171
12 20178
13
Particle filter parallelisation using random network based resampling
20145
14
Adapting the multi-Bernoulli filter to phased array observations using MUSIC as pseudo-likelihood
201410
15 20142
16
Real-time detection of atrial fibrillation using a low-power ECG monitor
20136
17 20136
18 20111
19 20084
20 20076

About Paul D. Teal

Paul D. Teal is a scholar working on Signal Processing, Developmental Biology and Sensory Systems, having authored 119 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (23 papers), Advanced Adaptive Filtering Techniques (21 papers), Cognitive Radio Networks and Spectrum Sensing (20 papers), Acoustic Wave Phenomena Research (19 papers), Speech and Audio Processing (18 papers), Hearing Loss and Rehabilitation (14 papers), Wireless Communication Networks Research (9 papers) and Hearing, Cochlea, Tinnitus, Genetics (9 papers). The work is most often cited by research in Developmental Biology (229 citations), Signal Processing (274 citations) and Computer Networks and Communications (400 citations). Paul D. Teal has collaborated with scholars based in New Zealand, United Kingdom and India. Frequent 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.

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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