Philip R. Troyk

107 papers receiving 2.2k citations

Peers

Philip R. Troyk
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 1.7k
  • Electrical and Electronic Engineering 1.1k
  • Cognitive Neuroscience 911
  • Biomedical Engineering 849
  • Polymers and Plastics 261
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Citations per year

Countries citing papers authored by Philip R. Troyk

Since Specialization
Citations

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

Fields of papers citing papers by Philip R. Troyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip R. Troyk. 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 Philip R. Troyk. The network helps show where Philip R. Troyk may publish in the future.

Co-authorship network of co-authors of Philip R. Troyk

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 7
4 21
5 6
6
Phosphene Mapping for Intracortical Visual Prostheses
1
7 18
8
Participants’ experiences in a clinical trial for vision restoration: Motivation to participate, visual perception and functional use, and experience of loss following termination
2
9 18
10
The Experiences Of Recipients Of A Cortical Visual Prosthesis: A Preliminary Analysis Of Nine Participants Expressed Motivation, Decision-making Process, Risks, And Functional Use Of Phosphenes
1
11 17
12
Operation of a Wireless Retinal Implant Device With Reverse Telemetry
1
13
Responses of Potential Users to the Intracortical Visual Prosthesis: Focus Group Pilot Data
1
14
Human Psychophysical Testing to Access the Feasibility of an Intracortical Visual Prosthesis
1
15 7
16 33
17 5
18
Experimental Results of Intracortical Electrode Stimulation in Macaque V1
6
19 92
20 12

About Philip R. Troyk

Philip R. Troyk is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 114 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (87 papers), EEG and Brain-Computer Interfaces (45 papers) and Advanced Memory and Neural Computing (43 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Cognitive Neuroscience (911 citations) and Electrical and Electronic Engineering (1.1k citations). Philip R. Troyk has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stuart F. Cogan, J. Ehrlich, Douglas B. McCreery, Michael Schwan, T.D. Plante, Martin Bak, Alexander M. Rush, Gerald E. Loeb, J.H. Schulman and Victor Pikov. Their work appears in journals such as Journal of Neurophysiology, IEEE Transactions on Biomedical Engineering and Investigative Ophthalmology & Visual Science.

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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