Most cited papers from Planar Energy (United States)
What are the most cited papers from Planar Energy (United States)?
The most cited paper from Planar Energy (United States) is "Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System" (Roger Azevedo, Francois D. Bouchet, Melissa C. Duffy et al., 2022), with 218 citations. Next come "Urea formation from carbon dioxide and ammonia at atmospheric pressure" (71) and "Improving measurement and prediction in personnel selection through the application of machine learning" (56).
Showing 50 of 50 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System Roger Azevedo, Francois D. Bouchet, Melissa C. Duffy et al. · Frontiers in Psychology | 14 Jun 2022 | 218 |
| 2 | Urea formation from carbon dioxide and ammonia at atmospheric pressure Xiaofeng Xiang, Li Guo, Xing Yun Wu et al. · Environmental Chemistry Letters | 21 May 2012 | 71 |
| 3 | Improving measurement and prediction in personnel selection through the application of machine learning Nick Koenig et al. · Personnel Psychology | 14 Jul 2023 | 56 |
| 4 | Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience Cali Fidopiastis, Dylan Schmorrow · Lecture notes in computer science | 2016 | 50 |
| 5 | Behaviors that emerge from emotion and cognition Amy E. Henninger, Randolph M. Jones, Eric Chown | 14 Jul 2003 | 42 |
| 6 | Adhesive PEG-based binder for aqueous fabrication of thick Li4Ti5O12 electrode Binh Thang Tran, Isaiah O. Oladeji, Zedong Wang et al. · Electrochimica Acta | 2 Nov 2012 | 42 |
| 7 | Thick LiCoO2/Nickel Foam Cathode Prepared by an Adhesive and Water-Soluble PEG-Based Copolymer Binder Binh Thang Tran, Isaiah O. Oladeji, Zedong Wang et al. · Journal of The Electrochemical Society | 2012 | 25 |
| 8 | Compositional study of vacuum annealed Al doped ZnO thin films obtained by RF magnetron sputtering Bojanna P. Shantheyanda, Vinit O. Todi, Kalpathy B. Sundaram et al. · Journal of Vacuum Science & Technology A Vacuum Surfaces and Films | 18 Aug 2011 | 21 |
| 9 | Foundations of Augmented Cognition Dylan D. Schmorrow, Cali M. Fidopiastis · Lecture notes in computer science | 2015 | 19 |
| 10 | Discovery of High-Level Behavior From Observation of Human Performance in a Strategic Game Brian Stensrud, Avelino J. González · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) | 21 May 2008 | 16 |
| 11 | Adaptive Instructional Systems Robert A. Sottilare, Jessica Schwarz · Lecture notes in computer science | 2019 | 14 |
| 12 | A model combustor for studying a reacting jet in an oscillating crossflow Christopher A. Fugger, Rohan M. Gejji, J. Enrique Portillo et al. · Review of Scientific Instruments | Jun 2017 | 12 |
| 13 | Adaptation Vectors for Instructional Agents Benjamin Bell, Robert A. Sottilare · Lecture notes in computer science | 2019 | 10 |
| 14 | ITS + SBT: A Review of Operational Situated Tutors Sae Lynne Schatz, Cynthia Oakes, Jeremiah T. Folsom-Kovarik et al. · Military Psychology | Mar 2012 | 10 |
| 15 | Adhesive poly(PEGMA-co-MMA-co-IBVE) copolymer electrolyte Binh Thang Tran, Isaiah O. Oladeji, Jianhua Zou et al. · Solid State Ionics | 23 Dec 2012 | 9 |
| 16 | Adaptive Learning Technology for AR Training: Possibilities and Challenges Alyssa Tanaka, Jeffrey D. Craighead, Glenn Taylor et al. · Lecture notes in computer science | 2019 | 7 |
| 17 | First Successful Selective Tight Gas Reservoir Completion and Fracture Stimulation in Sarah Formation, Rub Al-Khali Empty Quarter of Saudi Arabia Raid Bukhamseen, Ayrat Khakimov, Leopoldo Sierra et al. · SPE Russian Oil and Gas Conference and Exhibition | 26 Oct 2010 | 6 |
| 18 | Examining the Role of Knowledge Management in Adaptive Military Training Systems Robert A. Sottilare · Lecture notes in computer science | 2024 | 5 |
| 19 | Exploring Methods to Promote Interoperability in Adaptive Instructional Systems Robert A. Sottilare · Lecture notes in computer science | 2019 | 5 |
| 20 | Ontologies for Semantically Interoperable Electronic Commerce Leo Obrst, Howard Liu, Robert E. Wray et al. · IFIP advances in information and communication technology | 2003 | 5 |
| 21 | HCI International 2023 – Late Breaking Papers Panayiotis Zaphiris, Andri Ioannou, Robert A. Sottilare et al. · Lecture notes in computer science | 2023 | 4 |
| 22 | Cultural Understanding Using In-context Learning and Masked Language Modeling Ming Qian, Charles R. Newton, Davis Qian · Lecture notes in computer science | 2021 | 4 |
| 23 | Representing Functional Relationships of Adaptive Instructional Systems in a Conceptual Model Robert A. Sottilare, Anne Kelly Knowles, Jim Goodell · Lecture notes in computer science | 2020 | 4 |
| 24 | Evaluating Training Efficacy and Return on Investment for Augmented Reality: A Theoretical Framework Amanda J. H. Bond, Kelly Neville, Joseph E. Mercado et al. · Advances in intelligent systems and computing | 27 Jun 2018 | 4 |
| 25 | Mocvd SrS:Ce for Applications in Electroluminescent Devices Denis Endisch, Karl W. Barth, Janice E. Lau et al. · MRS Proceedings | 1997 | 4 |
| 26 | HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games Gabriele Meiselwitz, Abbas Moallem, Panayiotis Zaphiris et al. · Lecture notes in computer science | 2022 | 3 |
| 27 | Agent-Based Methods in Support of Adaptive Instructional Decisions Robert A. Sottilare · Lecture notes in computer science | 2020 | 3 |
| 28 | Approaches to Enhancing Transfer of Training using Adaptive Instructional Systems Jeremiah T. Folsom-Kovarik, Behrooz Mostafavi, Robert A. Sottilare et al. | Sep 2019 | 3 |
| 29 | Recommendation Across Many Learning Systems to Optimize Teaching and Training Kelly Neville, Jeremiah T. Folsom-Kovarik · Advances in intelligent systems and computing | 23 Jun 2018 | 3 |
| 30 | Empirical comparison of predictive models for mobile agents Amy E. Henninger, Raj Madhavan · Robotics and Autonomous Systems | 15 Oct 2004 | 3 |
| 31 | Virtual Environments for Training: Human Factors Limitations, Challenges, and Opportunities Beth F. Wheeler Atkinson, James A. Pharmer, Benjamin Goldberg et al. · Proceedings of the Human Factors and Ergonomics Society Annual Meeting | Sep 2023 | 2 |
| 32 | Establishing an Effective Adaptive Instructional Systems Community of Practice Robert A. Sottilare · Lecture notes in computer science | 2023 | 2 |
| 33 | Productive Failure and Subgoal Scaffolding in Novel Domains Dar-Wei Chen, Richard Catrambone · Lecture notes in computer science | 2019 | 2 |
| 34 | Examining Elements of an Adaptive Instructional System (AIS) Conceptual Model Robert A. Sottilare, Brian Stensrud, Andrew J. Hampton · Lecture notes in computer science | 2019 | 2 |
| 35 | Evolving Training Scenarios with Measurable Variance in Learning Effects Brandt Dargue, Jeremiah T. Folsom-Kovarik, John W. Sanders · Lecture notes in computer science | 2019 | 2 |
| 36 | Prototyping Intelligent Software Solutions for Global Health Engagement Jonathan Sussman-Fort, Lauren Glenister, Damian Jankowski et al. · Military Medicine | 3 May 2025 | 1 |
| 37 | Human Digital Twins to Support Nurse Practitioners’ Clinical Decision-Making Using Multimodal Data: A Theoretical, Methodological, and Analytical Framework Roger Azevedo, Mary Jean Amon, Mindi Anderson et al. · Digital Twin | 2024 | 1 |
| 38 | Using Genetic Algorithms to Automate Scenario Generation and Enhance the Training Value of Serious Games for Adaptive Instruction Robert A. Sottilare, Christopher Ballinger Ballinger, Matthew Litvinas et al. · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference | 13 May 2024 | 1 |
| 39 | Mixed Reality Technology Capabilities for Combat-Casualty Handoff Training Ryan Schubert, Gerd Bruder, Alyssa Tanaka et al. · Lecture notes in computer science | 2021 | 1 |
| 40 | Development of Stages of the Implementation of the Environmental Monitoring Program NA Rahimova, V. J. Abdullayev, Vasila Soltanaga Abbasova · Global Journal of Ecology | 11 May 2020 | 1 |
| 41 | Determining the Effect of Object-Based Foveated Rendering on the Quality of Simulated Reality Varun Aggarwal, Denise M. Nicholson, Kathleen W. Bartlett · Advances in intelligent systems and computing | 26 Jun 2018 | 1 |
| 42 | Feasibility of Leveraging an Adaptive Presentation Layer for Cyber Security Visualizations Lauren Massey, Remzi Seker, Denise M. Nicholson · Advances in intelligent systems and computing | 14 Jun 2017 | 1 |
| 43 | Using physiological measures to assess and diagnose team performance: An interrogative approach Maha Khalid, Lila Berger, Eunyoung Kim et al. · Applied Ergonomics | 25 Aug 2026 | 0 |
| 44 | Applications of Natural Language Processing in Adaptive Training Morgan Ulinski, Victor C. Hung · Lecture notes in computer science | 2025 | 0 |
| 45 | Adapting Complex Event Detection to Perceptual Domain Shifts Brian Wang, Julian de Gortari Briseno, Liying Han et al. | 28 Oct 2024 | 0 |
| 46 | AIS Challenges in Evaluating the Selection of Learner Interventions Robert A. Sottilare · Lecture notes in computer science | 2022 | 0 |
| 47 | Scaling Adaptive Instructional System (AIS) Architectures in Low-Adaptive Training Ecosystems Robert A. Sottilare, Keith Brawner · Lecture notes in computer science | 2021 | 0 |
| 48 | Automating Team Competency Assessment in Support of Adaptive Dynamic Simulations Jeremiah T. Folsom-Kovarik, Anne M. Sinatra, Robert A. Sottilare · Lecture notes in computer science | 2021 | 0 |
| 49 | Measuring the Complexity of Learning Content to Enable Automated Comparison, Recommendation, and Generation Jeremiah T. Folsom-Kovarik, Dar-Wei Chen, Behrooz Mostafavi et al. · Lecture notes in computer science | 2019 | 0 |
| 50 | Predicting Agent Spatial Information: A Comparison Between Neural Networks and Dead Reckoning Algorithms Amy E. Henninger, Avelino J. González, Douglas A. Reece | 24 Apr 2019 | 0 |
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.