Stephen J. Redmond

6.4k total citations · 1 hit paper
152 papers, 4.6k citations indexed

About

Stephen J. Redmond is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Stephen J. Redmond has authored 152 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Biomedical Engineering, 40 papers in Computer Vision and Pattern Recognition and 37 papers in Cognitive Neuroscience. Recurrent topics in Stephen J. Redmond's work include Context-Aware Activity Recognition Systems (40 papers), Non-Invasive Vital Sign Monitoring (35 papers) and Balance, Gait, and Falls Prevention (32 papers). Stephen J. Redmond is often cited by papers focused on Context-Aware Activity Recognition Systems (40 papers), Non-Invasive Vital Sign Monitoring (35 papers) and Balance, Gait, and Falls Prevention (32 papers). Stephen J. Redmond collaborates with scholars based in Australia, Ireland and Italy. Stephen J. Redmond's co-authors include Nigel H. Lovell, Conor Heneghan, Mohsin Islam Tiwana, Michael R. Narayanan, Michael Del Rosario, Heba Khamis, Stephen R. Lord, Tal Shany, Jim Basilakis and Branko G. Celler and has published in prestigious journals such as The Journal of Physiology, Journal of Neurophysiology and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Stephen J. Redmond

147 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review of tactile sensing technologies with applications in biomedical engineering

2012 566 citations Stephen J. Redmond, Nigel H. Lovell et al. profile →

Peers

Countries citing papers authored by Stephen J. Redmond

Since Specialization

Citations

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

Fields of papers citing papers by Stephen J. Redmond

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Redmond. 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 Stephen J. Redmond. The network helps show where Stephen J. Redmond may publish in the future.

Co-authorship network of co-authors of Stephen J. Redmond

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	On the Feasibility of Adapting the LiVec Tactile Sensing Principle to Non-Planar Surfaces: A Thin, Flexible Tactile Sensor 2025 ·Sensors ·(unknown), (unknown), Stephen J. Redmond	1
2	Role of arm reaching movement kinematics in friction perception at initial contact with smooth surfaces 2024 ·The Journal of Physiology ·(unknown), (unknown), (unknown), (unknown), (unknown), Heba Khamis, Richard M. Vickery, Michaël Wiertlewski, Stephen J. Redmond, Ingvars Birznieks	2
3	HTA324 Challenges of the PICO Scoping Process: How Does the Number of Involved Member States Impact Results? 2024 ·Value in Health ·Timo M. Ecker, (unknown), Stephen J. Redmond, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	0
4	Design, Fabrication, and Characterization of a Novel Optical Six-Axis Distributed Force and Displacement Tactile Sensor for Dexterous Robotic Manipulation 2023 ·Sensors ·(unknown), (unknown), Stephen J. Redmond	4
5	Robust Learning-Based Incipient Slip Detection Using the PapillArray Optical Tactile Sensor for Improved Robotic Gripping 2023 ·IEEE Robotics and Automation Letters ·(unknown), (unknown), R. E. Burke, (unknown), Stephen J. Redmond	3
6	A Tactile Sensing Concept for 3-D Displacement and 3-D Force Measurement Using Light Angle and Intensity Sensing 2023 ·IEEE Sensors Journal ·(unknown), (unknown), (unknown), Stephen J. Redmond	9
7	Adaptive Target-Condition Neural Network: DNN-Aided Load Balancing for Hybrid LiFi and WiFi Networks 2023 ·IEEE Transactions on Wireless Communications ·(unknown), Xiping Wu, (unknown), Stephen J. Redmond, Iman Tavakkolnia	11
8	Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies 2023 ·IEEE Robotics and Automation Letters ·(unknown), (unknown), (unknown), (unknown), Kevin McGuinness, Noel E. O’Connor, Stephen J. Redmond	2
9	Automatic Segmentation of the Paediatric Femoral Head* 2023 ·PubMed ·(unknown), (unknown), John J. Healy, (unknown), Niamh C. Nowlan, Connor Green, Stephen J. Redmond	1
10	Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward‐based tasks 2022 ·Expert Systems ·(unknown), (unknown), (unknown), (unknown), Kevin McGuinness, Noel E. O’Connor, Manuel Wüthrich, (unknown), Stefan Bauer, Stephen J. Redmond	10
11	A review of the neurobiomechanical processes underlying secure gripping in object manipulation 2021 ·Neuroscience & Biobehavioral Reviews ·Helen O’Shea, Stephen J. Redmond	10
12	Smart Triggering of the Barometer in a Fall Detector Using a Semi-Permeable Membrane 2019 ·IEEE Transactions on Biomedical Engineering ·Wei Lü, Michael Stevens, Changhong Wang, Stephen J. Redmond, Nigel H. Lovell	10
13	A Low-Power Fall Detector Balancing Sensitivity and False Alarm Rate 2017 ·IEEE Journal of Biomedical and Health Informatics ·Changhong Wang, Wei Lü, Stephen J. Redmond, Michael Stevens, Stephen R. Lord, Nigel H. Lovell	32
14	Characterisation and functional mapping of surface potentials in the rat dorsal column nuclei 2017 ·The Journal of Physiology ·(unknown), Ted Maddess, Stephen J. Redmond, John W. Morley, Greg J. Stuart, Jason R. Potas	8
15	Analyzing health insurance claims on different timescales to predict days in hospital 2016 ·Journal of Biomedical Informatics ·Yang Xie, G. Schreier, Michael Hoy, Ying Liu, (unknown), David C. Chang, Stephen J. Redmond, Nigel H. Lovell	16
16	What Does Big Data Mean for Wearable Sensor Systems? 2014 ·Yearbook of Medical Informatics ·Nigel H. Lovell, Guang Yang, Alexander Horsch, Paul Lukowicz, (unknown), Michael Marschollek, Stephen J. Redmond	36
17	Signal quality measures for unsupervised blood pressure measurement 2012 ·Physiological Measurement ·(unknown), Stephen J. Redmond, Gregory S. H. Chan, Nigel H. Lovell	14
18	Classification between non-multiple fallers and multiple fallers using a triaxial accelerometry-based system 2011 ·PubMed ·Ying Liu, Stephen J. Redmond, Michael R. Narayanan, Nigel H. Lovell	18
19	Multivariate classification of systemic vascular resistance using photoplethysmography 2011 ·Physiological Measurement ·(unknown), Gregory S. H. Chan, Stephen J. Redmond, Paul M Middleton, Elizabeth Steel, Philip Malouf, Christopher Critoph, (unknown), Emma O’Lone, Nigel H. Lovell	19
20	Cardiorespiratory-Based Sleep Staging in Subjects With Obstructive Sleep Apnea 2006 ·IEEE Transactions on Biomedical Engineering ·Stephen J. Redmond, Conor Heneghan	181

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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