Institution · Torch Technologies (United States)
Most cited papers from Torch Technologies (United States)
What are the most cited papers from Torch Technologies (United States)?
The most cited paper from Torch Technologies (United States) is "More than Words: Quantifying Language to Measure Firms' Fundamentals" (Paul C. Tetlock, Maytal Saar‐Tsechansky, Sofus A. Macskassy, 2006), with 558 citations. Next come "Discovering users' topics of interest on twitter" (327) and "Learning object identification rules for information integration" (315).
Showing 50 of 60 papers. Every paper with more than 6 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | More than Words: Quantifying Language to Measure Firms' Fundamentals Paul C. Tetlock, Maytal Saar‐Tsechansky, Sofus A. Macskassy · SSRN Electronic Journal | 2006 | 558 |
| 2 | Discovering users' topics of interest on twitter Matthew Michelson, Sofus A. Macskassy | 26 Oct 2010 | 327 |
| 3 | Learning object identification rules for information integration Sheila Tejada, Craig A. Knoblock, Steven Minton · Information Systems | Dec 2001 | 315 |
| 4 | Learning domain-independent string transformation weights for high accuracy object identification Sheila Tejada, Craig A. Knoblock, Steven Minton | 23 Jul 2002 | 256 |
| 5 | Active Learning with Multiple Views Ion Muslea, Steven Minton, Craig A. Knoblock · Journal of Artificial Intelligence Research | 30 Oct 2006 | 238 |
| 6 | Efficacy and Safety of Ibutilide Fumarate for the Conversion of Atrial Arrhythmias After Cardiac Surgery James T. VanderLugt, Thomas A. Mattioni, Stephen T. Denker et al. · Circulation | 27 Jul 1999 | 191 |
| 7 | Why do People Retweet? Anti-Homophily Wins the Day! Sofus A. Macskassy, Matthew Michelson · Proceedings of the International AAAI Conference on Web and Social Media | 3 Aug 2021 | 176 |
| 8 | Wrapper Maintenance: A Machine Learning Approach Kristina Lerman, Steven Minton, Craig A. Knoblock · Journal of Artificial Intelligence Research | Feb 2003 | 165 |
| 9 | Using the structure of Web sites for automatic segmentation of tables Kristina Lerman, Lise Getoor, Steven Minton et al. | 13 Jun 2004 | 152 |
| 10 | Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach Craig A. Knoblock, Kristina Lerman, Steven Minton et al. · Studies in fuzziness and soft computing | 2003 | 134 |
| 11 | Looking back and moving forward: can we accelerate progress on adolescent pregnancy in the Americas? Sonja Caffe, Marina Plesons, Alma Virginia Camacho et al. · Reproductive Health | 13 Jul 2017 | 100 |
| 12 | A never-before opportunity to strengthen investment and action on adolescent contraception, and what we must do to make full use of it Venkatraman Chandra‐Mouli, Pooja S. Parameshwar, Matti Parry et al. · Reproductive Health | 20 Jul 2017 | 97 |
| 13 | Active Learning with Strong and Weak Views: A Case Study on Wrapper Induction Ion Muslea, Steven Minton, Craig A. Knoblock | 2003 | 69 |
| 14 | Retrieving and semantically integrating heterogeneous data from the Web Martin Michalowski, José Luis Ambite, Snehal Thakkar et al. · IEEE Intelligent Systems | May 2004 | 66 |
| 15 | Getting from here to there: interactive planning and agent execution for optimizing travel José Luis Ambite, Greg Barish, Craig A. Knoblock et al. | 28 Jul 2002 | 60 |
| 16 | A Heterogeneous Field Matching Method for Record Linkage Steven Minton, Claude J Nanjo, Craig A. Knoblock et al. | 5 Jan 2006 | 54 |
| 17 | Using graph-based metrics with empirical risk minimization to speed up active learning on networked data Sofus A. Macskassy | 28 Jun 2009 | 49 |
| 18 | Improving learning in networked data by combining explicit and mined links Sofus A. Macskassy · National Conference on Artificial Intelligence | 22 Jul 2007 | 46 |
| 19 | Mixed-initiative, multi-source information assistants Craig A. Knoblock, Steven Minton, José Luis Ambite et al. | Apr 2001 | 45 |
| 20 | Analytical models for collaborative autonomous mobile robot solutions in fulfillment centers Zabih Ghelichi, Srikanth Kilaru · Applied Mathematical Modelling | 8 Oct 2020 | 43 |
| 21 | Exact Test of Independence Using Mutual Information Shawn D. Pethel, Daniel W. Hahs · Entropy | 23 May 2014 | 35 |
| 22 | Transfer Entropy for Coupled Autoregressive Processes Daniel W. Hahs, Shawn D. Pethel · Entropy | 25 Feb 2013 | 27 |
| 23 | Coronary Artery Calcification (CAC) and Post‐Trial Cardiovascular Events and Mortality Within the Women's Health Initiative (WHI) Estrogen‐Alone Trial Indu G. Poornima et al. · Journal of the American Heart Association | 28 Oct 2017 | 25 |
| 24 | Practice Challenges of Intensive Care Unit Telemedicine Herb Rogove, Kory Stetina · Critical Care Clinics | 21 Jan 2015 | 25 |
| 25 | Robotic Cleaning Through Dirt Rearrangement Planning with Learned Transition Models Sarah Elliott, Maya Çakmak | May 2018 | 24 |
| 26 | Dynamic light filtering over dermal opsin as a sensory feedback system in fish color change Lorian E. Schweikert, Laura E. Bagge, Lydia F. Naughton et al. · Nature Communications | 22 Aug 2023 | 23 |
| 27 | A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring Sofus A. Macskassy, Foster John Provost · Lecture notes in computer science | 11 Apr 2008 | 23 |
| 28 | Communication waveform properties of an exact folded-band chaotic oscillator Jonathan N. Blakely, Daniel W. Hahs, Ned J. Corron · Physica D Nonlinear Phenomena | 30 Aug 2013 | 23 |
| 29 | Vernier microcombs for high-frequency carrier envelope offset and repetition rate detection Kaiyi Wu, Nathan P. O’Malley, Saleha Fatema et al. · Optica | 25 Apr 2023 | 22 |
| 30 | Speculative plan execution for information gathering Greg Barish, Craig A. Knoblock · Artificial Intelligence | 2 Oct 2007 | 22 |
| 31 | Effects of Spark Discharge Energy Scheduling on Flame Kernel Formation under Quiescent and Flow Conditions Zhenyi Yang, Xiao Yu, Shui Yu et al. · SAE technical papers on CD-ROM/SAE technical paper series | 2 Apr 2019 | 19 |
| 32 | Quantum-noise-limited sensitivity enhancement of a passive optical cavity by a fast-light medium David D. Smith, H. A. Luckay, Hongrok Chang et al. · Physical Review A | 16 Aug 2016 | 18 |
| 33 | Design and simulation of a high frequency exact solvable chaotic oscillator Aubrey N. Beal, J. Phillip Bailey, Sidni Hale et al. | Oct 2012 | 18 |
| 34 | Contextual linking behavior of bloggers: leveraging text mining to enable topic-based analysis Sofus A. Macskassy · Social Network Analysis and Mining | 24 May 2011 | 18 |
| 35 | AutoFeed Bora Cenk Gazen, Steven Minton | 2 Oct 2005 | 16 |
| 36 | Modeling impact‐induced damage and debonding using level sets in a sharp interface Eulerian framework Alexia De Brauer, Nirmal Rai, Michael E. Nixon et al. · International Journal for Numerical Methods in Engineering | 10 May 2018 | 15 |
| 37 | Exact significance test for Markov order Shawn D. Pethel, Daniel W. Hahs · Physica D Nonlinear Phenomena | Dec 2013 | 15 |
| 38 | Interactive Data Integration through Smart Copy & Paste Zachary G. Ives, Craig A. Knoblock, Steven Minton et al. · arXiv (Cornell University) | 2009 | 15 |
| 39 | Effects of low-temperature neutron irradiation on the microstructure and tensile properties of duplex 2304 stainless steel and its electron-beam welds Chinthaka M. Silva, Keith J. Leonard, Lauren M. Garrison et al. · Materials Science and Engineering A | 21 Jul 2021 | 12 |
| 40 | Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach Yujian Ye, Dawei Qiu, Jonathan Ward et al. | Jul 2020 | 12 |
| 41 | Biomarker analysis of the phase 3 TORCH trial for first line erlotinib versus chemotherapy in advanced non-small cell lung cancer patients Lucia Kim, Mauro Ajaj Saieg, Massimo Di Maïo et al. · Oncotarget | 25 Feb 2017 | 11 |
| 42 | Conditional Constraint Networks for Interleaved Planning and Information Gathering José Luis Ambite, Craig A. Knoblock, Maria Muslea et al. · IEEE Intelligent Systems | Mar 2005 | 11 |
| 43 | Architecture for integrated RF photonic downconversion of electronic signals Nathan P. O’Malley, Keith A. McKinzie, Mohammed S. Alshaykh et al. · Optics Letters | 9 Nov 2022 | 10 |
| 44 | A microscopic and crystallographic study of proton irradiated alloy 718 Chinthaka Silva, Miao Song, Mi Wang et al. · Journal of Nuclear Materials | 25 Mar 2021 | 10 |
| 45 | Single-Pulse Mueller Matrix LiDAR Polarimeter: Modeling and Demonstration Christian K. Keyser, Richard Kipp Martin, P. Khanh Nguyen et al. · IEEE Transactions on Geoscience and Remote Sensing | 20 Dec 2018 | 10 |
| 46 | Robots As Cooperative Partners... We Hope... Cliff A.C. Lampe, Bob Bauer, Henry Ridgely Evans et al. | 27 Feb 2016 | 9 |
| 47 | Automatic Speech Recognition Based on Non-Uniform Error Criteria Qiang Fu, Yong Hui Zhao, Biing-Hwang Fred Juang · IEEE Transactions on Audio Speech and Language Processing | 25 Aug 2011 | 9 |
| 48 | The gendered nature of educational development in the United States Emily O. Gravett, Laurie L. McCarty, Lindsay Bernhagen · The International Journal for Academic Development | 14 Sep 2023 | 8 |
| 49 | An Expressive Language and Efficient Execution System for Software Agents Greg Barish, Craig A. Knoblock | 2005 | 8 |
| 50 | Leveraging Contextual Information to Explore Posting and Linking Behaviors of Bloggers Sofus A. Macskassy | Aug 2010 | 8 |
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.