Carmel Majidi
Biomedical Engineering · 2010–2021
A researcher in the Science corpus: 18 papers; trusts 31 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 283 citations into it; #1,102 of 10,734 by trust here, #799 by citations
- Mechanical Engineering — 123 citations into it; #7,204 of 8,300 by trust here, #1,638 by citations
- Electrical and Electronic Engineering — 64 citations into it; #6,355 of 16,539 by trust here, #4,677 by citations
- Polymers and Plastics — 60 citations into it
- Condensed Matter Physics — 50 citations into it; #370 of 1,948 by trust here, #335 by citations
- Materials Chemistry — 44 citations into it
- Cognitive Neuroscience — 34 citations into it; #8,810 of 10,852 by trust here, #6,180 by citations
- Control and Systems Engineering — 22 citations into it
Whom Carmel Majidi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen R. Quake
- T. Mammoto
- Axel Scherer
- Michael D. Dickey
- Donald E. Ingber
- Peter Corke
- George M. Whitesides
- Andrew D. Marchese
- Christoph Keplinger
- Robert J. Wood
Who trusts Carmel Majidi overall
- Panagiotis Polygerinos
- Michael D. Dickey
- Robert J. Wood
- Yong‐Lae Park
- Zheng Wang
- Stephen Coyle
- Johannes T. B. Overvelde
- M. A. H. Khondoker
- Daniela Rus
- Michael Thomas Tolley
Papers from Carmel Majidi's perspective
Ordered by how strongly the researchers Carmel Majidi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Hyperelastic pressure sensing with a liquid-embedded elastomer (2010) — 534 citations
- Soft Robotics: A Perspective—Current Trends and Prospects for the Future (2014) — 1,214 citations
- Tunable elastic stiffness with microconfined magnetorheological domains at low magnetic field (2010) — 153 citations
- Soft-matter composites with electrically tunable elastic rigidity (2013) — 221 citations
- Controllable and reversible tuning of material rigidity for robot applications (2018) — 216 citations
- Untethered soft robotics (2018) — 923 citations
- Rapid Prototyping for Soft‐Matter Electronics (2014) — 195 citations
- An autonomously electrically self-healing liquid metal–elastomer composite for robust soft-matter robotics and electronics (2018) — 899 citations
- ReSkin: versatile, replaceable, lasting tactile skins (2021) — 108 citations
- An electrically conductive silver–polyacrylamide–alginate hydrogel composite for soft electronics (2021) — 438 citations
- Liquid Metal Supercooling for Low‐Temperature Thermoelectric Wearables (2019) — 194 citations
- Highly Dynamic Shape Memory Alloy Actuator for Fast Moving Soft Robots (2019) — 187 citations
- Soft‐Matter Engineering for Soft Robotics (2018) — 289 citations
- EGaIn–Metal Interfacing for Liquid Metal Circuitry and Microelectronics Integration (2018) — 213 citations
- Bio-inspired soft robotics: Material selection, actuation, and design (2018) — 327 citations
- Methods to pattern liquid metals (2015) — 247 citations
- iSkin: Flexible, Stretchable and Visually Customizable On-Body Touch Sensors for Mobile Computing (2015) — 350 citations
- Masked Deposition of Gallium‐Indium Alloys for Liquid‐Embedded Elastomer Conductors (2013) — 268 citations