Benjamin Metcalfe

2.6k total citations
63 papers, 408 citations indexed

About

Benjamin Metcalfe is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Benjamin Metcalfe has authored 63 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 30 papers in Cognitive Neuroscience and 24 papers in Biomedical Engineering. Recurrent topics in Benjamin Metcalfe's work include Neuroscience and Neural Engineering (32 papers), EEG and Brain-Computer Interfaces (22 papers) and Muscle activation and electromyography studies (19 papers). Benjamin Metcalfe is often cited by papers focused on Neuroscience and Neural Engineering (32 papers), EEG and Brain-Computer Interfaces (22 papers) and Muscle activation and electromyography studies (19 papers). Benjamin Metcalfe collaborates with scholars based in United Kingdom, Denmark and China. Benjamin Metcalfe's co-authors include J. Taylor, Alan J. Hunter, Dingguo Zhang, Mirella Di Lorenzo, Nick Donaldson, Daniel Chew, Paola Villegas-Guzmán, Carlos A. Martínez‐Huitle, Adryane Gorayeb and Jannis Wenk and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Power Sources.

In The Last Decade

Benjamin Metcalfe

49 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Metcalfe United Kingdom 12 158 146 131 93 66 63 408
Alex Burton United States 10 246 1.6× 181 1.2× 62 0.5× 154 1.7× 17 0.3× 16 447
Tucker Stuart United States 9 244 1.5× 143 1.0× 67 0.5× 133 1.4× 4 0.1× 13 389
Christopher L. Hunt United States 9 385 2.4× 227 1.6× 326 2.5× 94 1.0× 13 0.2× 26 525
Trevor R. Cameron Canada 9 168 1.1× 68 0.5× 76 0.6× 162 1.7× 3 0.0× 16 425
Haiying Cheng China 15 223 1.4× 74 0.5× 66 0.5× 15 0.2× 13 0.2× 43 1.1k
Da Song China 13 102 0.6× 107 0.7× 53 0.4× 51 0.5× 5 0.1× 61 478
Rakesh Kumar Sinha India 15 116 0.7× 72 0.5× 278 2.1× 68 0.7× 8 0.1× 69 652
Ningbo Yu China 15 366 2.3× 30 0.2× 192 1.5× 52 0.6× 3 0.0× 116 800
Christopher Coogan United States 10 28 0.2× 105 0.7× 238 1.8× 90 1.0× 51 0.8× 16 347

Countries citing papers authored by Benjamin Metcalfe

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Metcalfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Metcalfe

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Metcalfe. A scholar is included among the top collaborators of Benjamin Metcalfe 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 Benjamin Metcalfe. Benjamin Metcalfe 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
1.
Metcalfe, Benjamin, et al.. (2025). One-step polyaniline-platinum nanoparticles grafting on porous gold anode electrodes for high-performance glucose fuel cells. Journal of Power Sources. 654. 237815–237815.
2.
Zhang, Dingguo, et al.. (2025). The comfort of temporal interference stimulation on the forearm: computational and psychophysical evaluation. Journal of Neural Engineering. 22(2). 26044–26044. 1 indexed citations
3.
Seminati, Elena, et al.. (2025). A method for locating surface electromyography electrodes on the flexor carpi ulnaris. Journal of Electromyography and Kinesiology. 82. 103010–103010.
4.
Metcalfe, Benjamin, et al.. (2024). A Scoping Review of Machine Learning Applied to Peripheral Nerve Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3689–3698. 1 indexed citations
5.
Zhang, Dingguo, et al.. (2024). Data augmentation for invasive brain–computer interfaces based on stereo-electroencephalography (SEEG). Journal of Neural Engineering. 21(1). 16026–16026. 2 indexed citations
6.
Sv, Smirnov, et al.. (2024). Ex-vivo systems for neuromodulation: A comparison of ex-vivo and in-vivo large animal nerve electrophysiology. Journal of Neuroscience Methods. 406. 110116–110116. 1 indexed citations
7.
Metcalfe, Benjamin, et al.. (2024). Enhanced stability of highly porous nanostructured gold anodes via polyaniline coating for abiotic glucose fuel cell. Electrochimica Acta. 508. 145281–145281. 1 indexed citations
8.
Metcalfe, Benjamin, et al.. (2024). CMOS Analogue Velocity-Selective Neural Processing System. Electronics. 13(3). 569–569.
9.
Metcalfe, Benjamin, et al.. (2023). Morphology and morphometry of the ulnar nerve in the forelimb of pigs. Anatomia Histologia Embryologia. 53(1). e12972–e12972. 1 indexed citations
10.
Thomas, B.W.J., et al.. (2023). A prototype autonomous robot for underwater crime scene investigation and emergency response. Journal of Field Robotics. 40(5). 983–1002. 6 indexed citations
11.
Lutteroth, Christof, et al.. (2023). Denoising and decoding spontaneous vagus nerve recordings with machine learning. PubMed. 2023. 1–4. 1 indexed citations
12.
13.
Zariffa, José, et al.. (2022). Tutorial: a guide to techniques for analysing recordings from the peripheral nervous system. Journal of Neural Engineering. 19(4). 42001–42001. 8 indexed citations
14.
Metcalfe, Benjamin, et al.. (2022). Experience of adults with upper-limb difference and their views on sensory feedback for prostheses: a mixed methods study. Journal of NeuroEngineering and Rehabilitation. 19(1). 80–80. 10 indexed citations
15.
Metcalfe, Benjamin, et al.. (2022). Adaptation of the Two-CAP Method for Conduction Velocity Distribution Estimation in Multi-Channel Recordings. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 22. 4109–4114.
16.
Martínez-Hernández, Uriel, et al.. (2021). Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends. Sensors. 21(20). 6751–6751. 32 indexed citations
17.
Metcalfe, Benjamin, et al.. (2021). The Use of the Velocity Selective Recording Technique to Reveal the Excitation Properties of the Ulnar Nerve in Pigs. Sensors. 22(1). 58–58. 11 indexed citations
18.
Metcalfe, Benjamin, et al.. (2021). Urinary Bladder Innervation within the Sacral Roots of a Sheep. Pure (University of Bath). 605–608.
19.
Metcalfe, Benjamin, et al.. (2020). A dataset of action potentials recorded from the L5 dorsal rootlet of rat using a multiple electrode array. SHILAP Revista de lepidopterología. 33. 106561–106561. 3 indexed citations
20.
Metcalfe, Benjamin, et al.. (2018). An Analytical Comparison of Locally-Connected Reconfigurable Neural Network Architectures Using a C. elegans Locomotive Model. Computers. 7(3). 43–43. 1 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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