Douglas Kerns

737 citations
18 papers · 529 indexed · h-index 10
Topics
Neuroscience and Neural Engineering (8 papers)Muscle activation and electromyography studies (7 papers)CCD and CMOS Imaging Sensors (5 papers)
Partner nations
United States

In The Last Decade

Douglas Kerns

16 papers receiving 505 citations

Peers

Douglas Kerns
Comparison fields: 5 of 64
  • Biomedical Engineering 365
  • Cellular and Molecular Neuroscience 205
  • Cognitive Neuroscience 197
  • Electrical and Electronic Engineering 194
  • Artificial Intelligence 80
Replace Ralph Etienne-Cummings with:
Ralph Etienne-Cummings United States
Daniela De Venuto Italy
Joel Dawson United States
Sergey A. Lobov Russia
Xiaowei Zheng China
E.M. Drakakis United Kingdom
Herming Chiueh Taiwan
Chutham Sawigun Thailand
Luca Ascari Italy
Douglas Kerns relative to Ralph Etienne-Cummings United States Ralph Etienne-Cummings's profile →
Citations per field
00.5×1.5×
Ralph Etienne-Cummings · 1×
Citations per year

Countries citing papers authored by Douglas Kerns

Since Specialization
Citations

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

Fields of papers citing papers by Douglas Kerns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas Kerns

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 5
3 191
4
MULTIFUNCTION PROSTHESIS CONTROL USING IMPLANTED MYOELECTRIC SENSORS (IMES)
0
5 5
6 24
7 4
8 9
9 2
10 33
11 0
12 36
13 3
14
Analog VLSI Implementation of Multi-dimensional Gradient Descent
15
15
Analog VLSI Implementation of Gradient Descent
13
16 118
17
CMOS UV-writable non-volatile analog storage
23
18 47

About Douglas Kerns

Douglas Kerns is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Bioengineering, having authored 18 papers that have together received 529 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), Muscle activation and electromyography studies (7 papers) and CCD and CMOS Imaging Sensors (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (205 citations), Cognitive Neuroscience (197 citations) and Biomedical Engineering (365 citations). Douglas Kerns has collaborated with scholars based in United States. Frequent co-authors include Richard F. Weir, Huub Maas, Carver Mead, Richard F. Lyon, Philip R. Troyk, Silvio P. Eberhardt, Timothy X. Brown, A. P. Thakoor, T. Daud and Alan H. Barr. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Journal of Solid-State Circuits and Neural Networks.

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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