Most cited papers from Machine Science
What are the most cited papers from Machine Science?
The most cited paper from Machine Science is "Interactive Robots as Social Partners and Peer Tutors for Children: A Field Trial" (Takayuki Kanda, Takayuki Hirano, Daniel Eaton et al., 2004), with 704 citations. Next come "Ancestral graph Markov models" (578) and "Fracture mechanics of piezoelectric materials" (525).
Showing 50 of 60 papers. Every paper with more than 34 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Interactive Robots as Social Partners and Peer Tutors for Children: A Field Trial Takayuki Kanda, Takayuki Hirano, Daniel Eaton et al. · Human-Computer Interaction | 28 May 2004 | 704 |
| 2 | Ancestral graph Markov models Thomas S. Richardson, Peter Spirtes · The Annals of Statistics | Aug 2002 | 578 |
| 3 | Fracture mechanics of piezoelectric materials Vladimir Z. Parton · Acta Astronautica | Sep 1976 | 525 |
| 4 | Competence-based Curriculum Learning for Neural Machine Translation Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig et al. | 2019 | 321 |
| 5 | Latent Multi-Task Architecture Learning Sebastian Ruder, Joachim Bingel, Isabelle Augenstein et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) | 17 Jul 2019 | 304 |
| 6 | Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony et al. · Lecture notes in computer science | 2022 | 252 |
| 7 | Multimodal Language Analysis with Recurrent Multistage Fusion Paul Pu Liang, Liu Ziyin, AmirAli Bagher Zadeh et al. | 2018 | 219 |
| 8 | 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler, W. Boomsma, M. Geiger et al. · Data Archiving and Networked Services (DANS) | 2018 | 204 |
| 9 | A self-healing elastomer based on an intrinsic non-covalent cross-linking mechanism Jun Chen, Fanzhu Li, Yanlong Luo et al. · Journal of Materials Chemistry A | 2019 | 164 |
| 10 | DNA methylation–based immune response signature improves patient diagnosis in multiple cancers Jana Jeschke, Martin Bizet, Christine Desmedt et al. · Journal of Clinical Investigation | 16 Jul 2017 | 163 |
| 11 | Artificial intelligence models for diagnosing gingivitis and periodontal disease: A systematic review Marta Revilla‐León, Miguel Gómez‐Polo, Abdul Basir Barmak et al. · Journal of Prosthetic Dentistry | 14 Mar 2022 | 157 |
| 12 | Contextual Parameter Generation for Universal Neural Machine Translation Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig et al. | 2018 | 153 |
| 13 | Block-Coordinate Frank-Wolfe Optimization for Structural SVMs Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt et al. · arXiv (Cornell University) | 19 Jul 2012 | 152 |
| 14 | Deep Spoken Keyword Spotting:An Overview Iván López‐Espejo, Zheng‐Hua Tan, John H. L. Hansen et al. · VBN Forskningsportal (Aalborg Universitet) | 2022 | 136 |
| 15 | Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook Morten Goodwin, Kim Tallaksen Halvorsen, Jiao, Lei et al. · Research at the University of Copenhagen (University of Copenhagen) | 10 Mar 2022 | 135 |
| 16 | Nondemolition observation of a free quantum particle V. P. Belavkin, P. Staszewski · Physical Review A | Feb 1992 | 122 |
| 17 | Advances in Information Retrieval Nicola Ferro, Norbert Fuhr, Maria Maistro et al. · Lecture notes in computer science | 2019 | 108 |
| 18 | Facile synthesis of mesoporous carbon nanocomposites from natural biomass for efficient dye adsorption and selective heavy metal removal Long Chen, Tuo Ji, Liwen Mu et al. · RSC Advances | 22 Dec 2015 | 105 |
| 19 | BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning Asa Cooper Stickland, Iain Murray · Edinburgh Research Explorer (University of Edinburgh) | 3 Jul 2019 | 98 |
| 20 | Visually Grounded Reasoning across Languages and Cultures Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti et al. · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing | 2021 | 90 |
| 21 | Non-corrosive green lubricants: strengthened lignin–[choline][amino acid] ionic liquids interaction via reciprocal hydrogen bonding Liwen Mu, Yijun Shi, Xiao-Jing Guo et al. · RSC Advances | 2015 | 82 |
| 22 | Libratus: The Superhuman AI for No-Limit Poker Noam Brown, Tüomas Sandholm | 28 Jul 2017 | 79 |
| 23 | Stress-induced interaction of pairs of point defects in bcc solutions M. S. Blanter, A. G. Khachaturyan · Metallurgical Transactions A | Jun 1978 | 78 |
| 24 | Asymptotics of symmetric polynomials with applications to statistical mechanics and representation theory Vadim Evgen'evich Gorin, Greta Panova | Jul 2013 | 77 |
| 25 | Inverse kinematic algorithms for redundant systems H. Das, Jean-Jacques E. Slotine, T.B. Sheridan | 6 Jan 2003 | 75 |
| 26 | Contact area of rough surfaces I V KRAGELSKY, N. B. Demkin · Wear | May 1960 | 75 |
| 27 | The phenomenon of seizure and its investigation A. P. Semenov · Wear | 1961 | 74 |
| 28 | Symbolic Analysis of Chaotic Signals and Turbulent Fluctuations Maia Lehrman, Alexander B. Rechester, Roscoe B. White · Physical Review Letters | 6 Jan 1997 | 74 |
| 29 | A Disaster Response System based on Human-Agent Collectives Sarvapali D. Ramchurn, Trung Dong Huynh, Feng Wu et al. · Journal of Artificial Intelligence Research | 31 Dec 2016 | 73 |
| 30 | Decoding and Cortical Source Localization for Intended Movement Direction With MEG Wei Wang, Gustavo P. Sudre, Yang Xu et al. · Journal of Neurophysiology | 26 Aug 2010 | 72 |
| 31 | A Review on Sensor‐Integrating Machine Elements Eckhard Kirchner et al. · Advanced Sensor Research | 28 Jan 2024 | 70 |
| 32 | Learning what to share between loosely related tasks Sebastian Ruder, Joachim Bingel, Isabelle Augenstein et al. · Research at the University of Copenhagen (University of Copenhagen) | 23 May 2017 | 68 |
| 33 | An Optimal Algorithm for Stochastic and Adversarial Bandits Julian Zimmert, Yevgeny Seldin · Research at the University of Copenhagen (University of Copenhagen) | 19 Jul 2018 | 67 |
| 34 | Demonstration-based learning and control for automatic grasping Johan Tegin, Staffan Ekvall, Danica Kragić et al. · Intelligent Service Robotics | 27 Aug 2008 | 64 |
| 35 | Machine Learning Overview Taiwo Oladipupo · InTech eBooks | Feb 2010 | 64 |
| 36 | Wave concepts in the theory of heat V. A. Bubnov · International Journal of Heat and Mass Transfer | Feb 1976 | 58 |
| 37 | Encoding word order in complex embeddings Benyou Wang, Donghao Zhao, Christina Lioma et al. · arXiv (Cornell University) | 27 Dec 2019 | 56 |
| 38 | Reprogramming biological peptides to combat infectious diseases Marcelo D. T. Torres, César de la Fuente‐Núñez · Chemical Communications | 2019 | 55 |
| 39 | Misfit Dislocations in a Thin Two-Phase Heteroepitaxial Plate Mikhail Yu. Gutkin, А. Е. Романов · physica status solidi (a) | 16 Jan 1992 | 53 |
| 40 | Fatigue wear under elastic contact conditions I. V. Kraghelsky, E.F. Nepomnyashchi · Wear | Jul 1965 | 53 |
| 41 | On Position Embeddings in BERT Benyou Wang, Lifeng Shang, Christina Lioma et al. · Research at the University of Copenhagen (University of Copenhagen) | 2021 | 50 |
| 42 | PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis Vedant Vajre, Mitch Naylor, U Saritha Kamath et al. · 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) | 9 Dec 2021 | 47 |
| 43 | Integrating sequence, expression and interaction data to determine condition-specific miRNA regulation Hai-Son Le, Ziv Bar‐Joseph · Bioinformatics | 19 Jun 2013 | 47 |
| 44 | Video-Based Activity Recognition for Automated Motor Assessment of Parkinson's Disease Grzegorz Sarapata, Yuriy Dushin, Gareth Morinan et al. · IEEE Journal of Biomedical and Health Informatics | 25 Jul 2023 | 46 |
| 45 | On wave solutions of the heat-conduction equation A.V. Luikov, V. A. Bubnov, Igor A. Soloviev · International Journal of Heat and Mass Transfer | Mar 1976 | 46 |
| 46 | Lung Segmentation from Chest X-rays using Variational Data Imputation Raghavendra Selvan, Erik B. Dam, Detlefsen, Nicki S. et al. · arXiv (Cornell University) | 20 May 2020 | 45 |
| 47 | APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li et al. | Oct 2018 | 45 |
| 48 | A pin-on-disc investigation of novel nanoporous composite-based and conventional brake pad materials focussing on airborne wear particles Jens Wahlström, David I. Gventsadze, Lars Olander et al. · Tribology International | 2 Aug 2011 | 44 |
| 49 | [N-Methyl-2-pyrrolidone][C1–C4 carboxylic acid]: a novel solvent system with exceptional lignin solubility Liwen Mu, Yijun Shi, Long Chen et al. · Chemical Communications | 2015 | 44 |
| 50 | The role of deep learning in ensuring privacy integrity and security: Applications in AI-driven cybersecurity solutions Joseph Nnaemeka Chukwunweike, Moshood Yussuf, Oluwatobiloba Okusi et al. · World Journal of Advanced Research and Reviews | 25 Aug 2024 | 42 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.