P. Parker

3.0k total citations · 1 hit paper
13 papers, 2.3k citations indexed

About

P. Parker is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Computational Mechanics. According to data from OpenAlex, P. Parker has authored 13 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Cellular and Molecular Neuroscience and 2 papers in Computational Mechanics. Recurrent topics in P. Parker's work include Muscle activation and electromyography studies (9 papers), Neuroscience and Neural Engineering (8 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). P. Parker is often cited by papers focused on Muscle activation and electromyography studies (9 papers), Neuroscience and Neural Engineering (8 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). P. Parker collaborates with scholars based in Canada, Sweden and China. P. Parker's co-authors include B. Hudgins, Robert N. Scott, Kevin Englehart, Roland Kadefors, Peter Herberts, M. Stevenson, Gunnar Palmerud, Carl Zetterberg, Christian Almström and Gunnar B. J. Andersson and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Journal of Orthopaedic Research® and European Journal of Applied Physiology.

In The Last Decade

P. Parker

12 papers receiving 2.2k citations

Hit Papers

A new strategy for multifunction myoelectric control 1993 2026 2004 2015 1993 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Parker Canada 8 2.2k 1.4k 1.1k 315 148 13 2.3k
Ernest Nlandu Kamavuako Denmark 27 1.5k 0.7× 1.2k 0.9× 735 0.7× 268 0.9× 125 0.8× 104 2.0k
Mohammadreza Asghari Oskoei United Kingdom 11 1.6k 0.7× 1.2k 0.8× 725 0.7× 321 1.0× 136 0.9× 28 1.9k
Bernhard Graimann Germany 24 2.1k 1.0× 2.0k 1.4× 1.4k 1.3× 267 0.8× 186 1.3× 29 2.8k
Muddassar Hussain Pakistan 10 1.0k 0.5× 652 0.4× 338 0.3× 171 0.5× 91 0.6× 30 1.4k
Teodoro Solis‐Escalante Netherlands 22 803 0.4× 1.9k 1.3× 763 0.7× 234 0.7× 389 2.6× 42 2.4k
Ivan Vujaklija Finland 24 1.8k 0.8× 1.1k 0.8× 1.0k 0.9× 125 0.4× 186 1.3× 53 2.0k
Stefano Silvoni Italy 15 744 0.3× 1.5k 1.0× 607 0.5× 216 0.7× 322 2.2× 34 1.8k
Mads Jochumsen Denmark 21 695 0.3× 1.2k 0.8× 547 0.5× 306 1.0× 193 1.3× 85 1.6k
Hubertus Rehbaum Germany 9 1.6k 0.7× 1.2k 0.8× 938 0.8× 131 0.4× 123 0.8× 10 1.7k
Blair A. Lock United States 18 2.0k 0.9× 1.3k 0.9× 1.3k 1.2× 134 0.4× 236 1.6× 27 2.2k

Countries citing papers authored by P. Parker

Since Specialization
Citations

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

Fields of papers citing papers by P. Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Parker. 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 P. Parker. The network helps show where P. Parker may publish in the future.

Co-authorship network of co-authors of P. Parker

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

All Works

13 of 13 papers shown
1.
Englehart, Kevin, et al.. (2010). A MICROPROCESSOR-BASED MULTIFUNCTION MYOELECTRIC CONTROL SYSTEM. 3 indexed citations
2.
Jiang, Ning, et al.. (2009). Enhanced EMG signal processing for simultaneous and proportional myoelectric control. PubMed. 2009. 4335–4338. 36 indexed citations
3.
Parker, P., Kevin Englehart, & B. Hudgins. (2006). Myoelectric signal processing for control of powered limb prostheses. Journal of Electromyography and Kinesiology. 16(6). 541–548. 492 indexed citations
4.
Hudgins, B., P. Parker, & Robert N. Scott. (2005). The Recognition Of Myoelectric Patterns For Prosthetic Limb Control. 2040–2041. 11 indexed citations
5.
Hudgins, B., P. Parker, & Robert N. Scott. (2005). A Neural Network Classifier For Multifunction Myoelectric Control. 1454–1455. 2 indexed citations
6.
Hudgins, B., et al.. (2003). A pattern based continuous multifunction myoelectric control strategy. 1. 568–568. 2 indexed citations
7.
8.
Englehart, Kevin, B. Hudgins, P. Parker, & M. Stevenson. (2002). Time-frequency representation for classification of the transient myoelectric signal. 5. 2627–2630. 33 indexed citations
9.
Parker, P., Mark A. Zumberge, & Robert L. Parker. (1995). A new method for fringe-signal processing in absolute gravity meters. Manuscripta geodetica.. 20(3). 173–181. 7 indexed citations
10.
Parsa, Vijay & P. Parker. (1994). Constrained crosstalk resistant adaptive noise canceller. Electronics Letters. 30(16). 1276–1277. 3 indexed citations
11.
Hudgins, B., P. Parker, & Robert N. Scott. (1993). A new strategy for multifunction myoelectric control. IEEE Transactions on Biomedical Engineering. 40(1). 82–94. 1638 indexed citations breakdown →
12.
Körner, L., P. Parker, Christian Almström, et al.. (1984). Relation of intramuscular pressure to the force output and myoelectric signal of skeletal muscle. Journal of Orthopaedic Research®. 2(3). 289–296. 55 indexed citations
13.
Parker, P., et al.. (1984). The relation between spectral changes of the myoelectric signal and the intramuscular pressure of human skeletal muscle. European Journal of Applied Physiology. 52(2). 202–206. 29 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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