Christopher C. Duncan

1.1k total citations
14 papers, 717 citations indexed

About

Christopher C. Duncan is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Christopher C. Duncan has authored 14 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in Christopher C. Duncan's work include Muscle activation and electromyography studies (12 papers), Neuroscience and Neural Engineering (10 papers) and EEG and Brain-Computer Interfaces (4 papers). Christopher C. Duncan is often cited by papers focused on Muscle activation and electromyography studies (12 papers), Neuroscience and Neural Engineering (10 papers) and EEG and Brain-Computer Interfaces (4 papers). Christopher C. Duncan collaborates with scholars based in United States and China. Christopher C. Duncan's co-authors include Gregory A. Clark, Douglas T. Hutchinson, Tyler S. Davis, David T. Kluger, Jacob A. George, Suzanne Wendelken, David M. Page, Jeffrey G. Masek, Elizaveta V. Okorokova and Zachary C. Thumser and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Frontiers in Human Neuroscience and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Christopher C. Duncan

13 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher C. Duncan United States	10	515	408	406	57	55	14	717
Rune Thorsen Italy	13	382 0.7×	128 0.3×	213 0.5×	36 0.6×	171 3.1×	22	543
Xizi Song China	13	209 0.4×	205 0.5×	175 0.4×	39 0.7×	10 0.2×	57	580
M. Haugland Denmark	13	537 1.0×	446 1.1×	418 1.0×	3 0.1×	69 1.3×	27	762
David T. Kluger United States	9	478 0.9×	357 0.9×	367 0.9×		58 1.1×	10	643
G. Cavallo Italy	10	313 0.6×	299 0.7×	331 0.8×		58 1.1×	21	555
Aimee E. Schultz United States	9	674 1.3×	503 1.2×	423 1.0×		56 1.0×	11	781
David M. Page United States	8	341 0.7×	308 0.8×	278 0.7×		42 0.8×	13	463
Elizaveta V. Okorokova United States	7	274 0.5×	223 0.5×	297 0.7×		24 0.4×	8	424
Breanne Christie United States	12	291 0.6×	293 0.7×	288 0.7×		33 0.6×	19	464
Emily L. Graczyk United States	10	513 1.0×	417 1.0×	456 1.1×		53 1.0×	20	703

Countries citing papers authored by Christopher C. Duncan

Since Specialization

Citations

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

Fields of papers citing papers by Christopher C. Duncan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C. Duncan. 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 Christopher C. Duncan. The network helps show where Christopher C. Duncan may publish in the future.

Co-authorship network of co-authors of Christopher C. Duncan

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Duncan, Christopher C., et al.. (2022). A Multi-User Transradial Functional-Test Socket for Validation of New Myoelectric Prosthetic Control Strategies. Frontiers in Neurorobotics. 16. 872791–872791. 4 indexed citations

Duncan, Christopher C., et al.. (2022). Comparison of Self-Reported vs Objective Measures of Long-Term Community Ambulation in Lower Limb Prosthesis Users. Archives of Rehabilitation Research and Clinical Translation. 4(3). 100220–100220.

Atkins, Diane J., et al.. (2022). Hand Surgeons’ Understanding of Partial Hand Prostheses: Results of a National Survey Study. Hand. 18(7). 1156–1168. 1 indexed citations

Paskett, Michael D., et al.. (2021). Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison. Journal of NeuroEngineering and Rehabilitation. 18(1). 45–45. 21 indexed citations

Atkins, Diane J., et al.. (2020). Restoring Form and Function to the Partial Hand Amputee. Hand Clinics. 37(1). 167–187. 9 indexed citations

George, Jacob A., David M. Page, Tyler S. Davis, et al.. (2020). Long-term performance of Utah slanted electrode arrays and intramuscular electromyographic leads implanted chronically in human arm nerves and muscles. Journal of Neural Engineering. 17(5). 56042–56042. 49 indexed citations

Paskett, Michael D., Jacob A. George, David T. Kluger, et al.. (2019). A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(10). 2070–2076. 17 indexed citations

George, Jacob A., David T. Kluger, Tyler S. Davis, et al.. (2019). Biomimetic sensory feedback through peripheral nerve stimulation improves dexterous use of a bionic hand. Science Robotics. 4(32). 242 indexed citations

Page, David M., Jacob A. George, David T. Kluger, et al.. (2018). Motor Control and Sensory Feedback Enhance Prosthesis Embodiment and Reduce Phantom Pain After Long-Term Hand Amputation. Frontiers in Human Neuroscience. 12. 352–352. 128 indexed citations

10.

George, Jacob A., et al.. (2018). Improved Training Paradigms and Motor-decode Algorithms: Results from Intact Individuals and a Recent Transradial Amputee with Prior Complex Regional Pain Syndrome. PubMed. 2018. 3782–3787. 28 indexed citations

11.

Duncan, Christopher C., David T. Kluger, Tyler S. Davis, et al.. (2018). Selective Decrease in Allodynia With High-Frequency Neuromodulation via High-Electrode-Count Intrafascicular Peripheral Nerve Interface After Brachial Plexus Injury. Neuromodulation Technology at the Neural Interface. 22(5). 597–606. 6 indexed citations

12.

Wendelken, Suzanne, Tyler S. Davis, David T. Kluger, et al.. (2017). Polynomial Kalman filter for myoelectric prosthetics using efficient kernel ridge regression. 432–435. 9 indexed citations

13.

Wendelken, Suzanne, David M. Page, Tyler S. Davis, et al.. (2017). Restoration of motor control and proprioceptive and cutaneous sensation in humans with prior upper-limb amputation via multiple Utah Slanted Electrode Arrays (USEAs) implanted in residual peripheral arm nerves. Journal of NeuroEngineering and Rehabilitation. 14(1). 121–121. 142 indexed citations

14.

Masek, Jeffrey G. & Christopher C. Duncan. (1998). Minimum‐work mountain building. Journal of Geophysical Research Atmospheres. 103(B1). 907–917. 61 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.

Explore authors with similar magnitude of impact