Peter S. Single

13 papers receiving 653 citations

Peter S. Single's Hit Papers

Long-term safety and efficacy of closed-loop spinal cord stimulation to treat chronic back and leg pain (Evoke): a double-blind, randomised, controlled trial 2019 · 255 citations
2550+2+4Years since publication50100150200250

Peers

Peter S. Single
Comparison fields: 5 of 43
  • Anesthesiology and Pain Medicine 484
  • Neurology 145
  • Pharmacology 148
  • Cellular and Molecular Neuroscience 83
  • Neurology 58
Replace Tianhe C. Zhang with:
Tianhe C. Zhang United States
Christopher K. Kim United States
Angela Leitner United States
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Ljubomir Manola Netherlands
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Citations per year

Countries citing papers authored by Peter S. Single

Since Specialization
Citations

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

Fields of papers citing papers by Peter S. Single

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter S. Single. 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 Peter S. Single. The network helps show where Peter S. Single may publish in the future.

Co-authors

The 14 scholars most cited alongside Peter S. Single, 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 Peter S. Single Line = papers co-authored together Peter S. Single links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Long-term safety and efficacy of closed-loop spinal cord stimulation to treat chronic back and leg pain (Evoke): a double-blind, randomised, controlled trial
Hit paper breakdown →
2019255
2 2011119
3 202270
4 201360
5 202355
6 201930
7 202025
8 201524
9 201322
10 201810
11 20237
12 20222
13
Implementation of a 32768-Tap FIR Filter Using Real-Time Fast Convolution
19891

About Peter S. Single

Peter S. Single is a scholar working on Anesthesiology and Pain Medicine, Neurology, Cellular and Molecular Neuroscience, Physiology and Neurology, having authored 13 papers that have together received 680 indexed citations. Recurring topics across this work include Pain Management and Treatment (6 papers), Transcranial Magnetic Stimulation Studies (4 papers), Neuroscience and Neural Engineering (3 papers), Pain Mechanisms and Treatments (3 papers), Neurological disorders and treatments (2 papers), Digital Filter Design and Implementation (1 paper), Advanced Algorithms and Applications (1 paper) and Musculoskeletal pain and rehabilitation (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (484 citations), Neurology (145 citations), Pharmacology (148 citations), Cellular and Molecular Neuroscience (83 citations) and Neurology (58 citations). Peter S. Single has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include John Louis Parker, Dean M. Karantonis, Milan M. Obradovic, Michael J. Cousins, Jonathan Brereton Scott, Robert B. Gorman, Leigh A. Ladd, Gerrit Eduard Gmel, Nastaran Hesam Shariati and Peter A. Silburn. Their work appears in journals such as Neuromodulation Technology at the Neural Interface, IEEE Transactions on Neural Systems and Rehabilitation Engineering, The Lancet Neurology, IEEE Transactions on Biomedical Circuits and Systems and Journal of the Audio Engineering Society.

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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