Benjamin Stephens-Fripp

424 total citations
18 papers, 298 citations indexed

About

Benjamin Stephens-Fripp is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Benjamin Stephens-Fripp has authored 18 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 14 papers in Biomedical Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Benjamin Stephens-Fripp's work include Muscle activation and electromyography studies (11 papers), Tactile and Sensory Interactions (10 papers) and EEG and Brain-Computer Interfaces (7 papers). Benjamin Stephens-Fripp is often cited by papers focused on Muscle activation and electromyography studies (11 papers), Tactile and Sensory Interactions (10 papers) and EEG and Brain-Computer Interfaces (7 papers). Benjamin Stephens-Fripp collaborates with scholars based in Australia, United States and Hong Kong. Benjamin Stephens-Fripp's co-authors include Gürsel Alıcı, Rahim Mutlu, Mary Jean Walker, Vítor Sencadas, Ali Israr, Fazel Naghdy, Golshah Naghdy, David Stirling, Hao Zhou and Jess Hartcher-O’Brien and has published in prestigious journals such as IEEE Access, Frontiers in Bioengineering and Biotechnology and International Journal of Social Robotics.

In The Last Decade

Benjamin Stephens-Fripp

18 papers receiving 293 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 Stephens-Fripp Australia 9 220 205 104 43 25 18 298
Andrew Paek United States 12 246 1.1× 271 1.3× 173 1.7× 38 0.9× 9 0.4× 24 409
Abdullah Akce United States 5 224 1.0× 231 1.1× 135 1.3× 43 1.0× 11 0.4× 10 402
Martin Rohm Germany 6 155 0.7× 364 1.8× 229 2.2× 111 2.6× 29 1.2× 11 449
Michele Tavella Switzerland 8 67 0.3× 353 1.7× 212 2.0× 131 3.0× 24 1.0× 13 395
Meike A. Schweisfurth Germany 11 440 2.0× 436 2.1× 257 2.5× 25 0.6× 8 0.3× 12 584
Suguru Kanoga Japan 11 127 0.6× 220 1.1× 58 0.6× 66 1.5× 11 0.4× 40 294
Baozeng Wang China 9 85 0.4× 157 0.8× 61 0.6× 48 1.1× 9 0.4× 19 262
Deren Y. Barsakcioglu United Kingdom 12 279 1.3× 318 1.6× 201 1.9× 40 0.9× 4 0.2× 22 456
Ryuhei Okuno Japan 9 183 0.8× 158 0.8× 69 0.7× 15 0.3× 5 0.2× 33 376
Maria Claudia F. Castro Brazil 12 191 0.9× 156 0.8× 73 0.7× 59 1.4× 3 0.1× 29 286

Countries citing papers authored by Benjamin Stephens-Fripp

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Stephens-Fripp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Stephens-Fripp

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Stephens-Fripp. A scholar is included among the top collaborators of Benjamin Stephens-Fripp 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 Stephens-Fripp. Benjamin Stephens-Fripp 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
1.
Stephens-Fripp, Benjamin, et al.. (2023). Wearable 3D Shape Display for Dynamic Interfaces Rendering. 389–396. 3 indexed citations
2.
Stephens-Fripp, Benjamin, et al.. (2022). Linking Haptic Parameters to the Emotional Space for Mediated Social Touch. Frontiers in Computer Science. 4. 12 indexed citations
3.
Choi, Hojung, et al.. (2022). Deep Learning Classification of Touch Gestures Using Distributed Normal and Shear Force. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3659–3665. 3 indexed citations
4.
Stephens-Fripp, Benjamin, et al.. (2021). A Multichannel Pneumatic Analog Control System for Haptic Displays. 1–7. 7 indexed citations
5.
Agarwal, Priyanshu, et al.. (2021). Constant Fluidic Mass Control for Soft Actuators Using Artificial Neural Network Algorithm. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1 indexed citations
6.
Stephens-Fripp, Benjamin, Rahim Mutlu, & Gürsel Alıcı. (2020). A Comparison Between Separated Electrodes and Concentric Electrodes for Electrotactile Stimulation. IEEE Transactions on Medical Robotics and Bionics. 3(1). 241–252. 6 indexed citations
7.
Stephens-Fripp, Benjamin. (2020). Providing Non-Invasive Sensory Feedback for Transradial Prosthetic Hand Users. Research Online (University of Wollongong). 1 indexed citations
8.
Walker, Mary Jean, et al.. (2019). Towards Including End-Users in the Design of Prosthetic Hands: Ethical Analysis of a Survey of Australians with Upper-Limb Difference. Science and Engineering Ethics. 26(2). 981–1007. 10 indexed citations
9.
Stephens-Fripp, Benjamin, et al.. (2019). Design of a Sensorised Object to Test Sensory Feedback for Prosthetic Hands. 1 indexed citations
10.
Stephens-Fripp, Benjamin, et al.. (2019). Pattern Recognition for Prosthetic Hand User’s Intentions using EMG Data and Machine Learning Techniques. 544–550. 11 indexed citations
11.
Stephens-Fripp, Benjamin, Rahim Mutlu, & Gürsel Alıcı. (2019). A Comparison of Recognition and Sensitivity in the Upper Arm and Lower Arm to Mechanotactile Stimulation. IEEE Transactions on Medical Robotics and Bionics. 2(1). 76–85. 5 indexed citations
12.
Stephens-Fripp, Benjamin, et al.. (2019). A survey on what Australians with upper limb difference want in a prosthesis: justification for using soft robotics and additive manufacturing for customized prosthetic hands. Disability and Rehabilitation Assistive Technology. 15(3). 342–349. 30 indexed citations
13.
Stephens-Fripp, Benjamin, Vítor Sencadas, Rahim Mutlu, & Gürsel Alıcı. (2018). Reusable Flexible Concentric Electrodes Coated With a Conductive Graphene Ink for Electrotactile Stimulation. Frontiers in Bioengineering and Biotechnology. 6. 179–179. 25 indexed citations
14.
Stephens-Fripp, Benjamin, Rahim Mutlu, & Gürsel Alıcı. (2018). Applying Mechanical Pressure and Skin Stretch Simultaneously for Sensory Feedback in Prosthetic Hands. 230–235. 9 indexed citations
15.
Stephens-Fripp, Benjamin, Rahim Mutlu, & Gürsel Alıcı. (2018). Using Vibration Motors to Create Tactile Apparent Movement for Transradial Prosthetic Sensory Feedback. 8 indexed citations
16.
Stephens-Fripp, Benjamin, Gürsel Alıcı, & Rahim Mutlu. (2018). A Review of Non-Invasive Sensory Feedback Methods for Transradial Prosthetic Hands. IEEE Access. 6. 6878–6899. 146 indexed citations
17.
Stephens-Fripp, Benjamin, Fazel Naghdy, David Stirling, & Golshah Naghdy. (2017). Automatic Affect Perception Based on Body Gait and Posture: A Survey. International Journal of Social Robotics. 9(5). 617–641. 19 indexed citations
18.
Stephens-Fripp, Benjamin. (2016). Combining Local and Global Features in Automatic Affect Recognition from Body Posture and Gait. Research Online (University of Wollongong). 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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