Institution
Oklahoma State University–Stillwater
Education•Stillwater, Oklahoma, United States•
About: Oklahoma State University–Stillwater is a education organization based out in Stillwater, Oklahoma, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 18267 authors who have published 36743 publications receiving 1107500 citations. The organization is also known as: Oklahoma State University & OKState.
Papers published on a yearly basis
Papers
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Arizona State University1, Pace University2, Texas State University3, DePaul University4, Universidad del Norte, Colombia5, University of Kentucky6, Washington State University7, Oklahoma State University–Stillwater8, Northern Illinois University9, Japan Advanced Institute of Science and Technology10, Rutgers University11
TL;DR: In this article, the authors present a research agenda for the emerging area of transformative service research, which lies at the intersection of service research and consumer research and focuses on well-being outcomes related to service and services.
672 citations
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TL;DR: The factor structure and correlates of the ICU scale in a sample of juvenile offenders between the ages of 12 and 20 are tested and confirmatory factor analyses are consistent with the presence of three independent factors that relate to a higher-order callous-unemotional dimension.
669 citations
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TL;DR: The Oklahoma mesonet as discussed by the authors is a joint project of Oklahoma State University and the University of Oklahoma, which is used to measure air temperature, humidity, barometric pressure, wind speed and direction, rainfall, solar radiation, and soil temperatures.
Abstract: The Oklahoma mesonet is a joint project of Oklahoma State University and the University of Oklahoma. It is an automated network of 108 stations covering the state of Oklahoma. Each station measures air temperature, humidity, barometric pressure, wind speed and direction, rainfall, solar radiation, and soil temperatures. Each station transmits a data message every 15 min via a radio link to the nearest terminal of the Oklahoma Law Enforcement Telecommunications System that relays it to a central site in Norman, Oklahoma. The data message comprises three 5-min averages of most data (and one 15-min average of soil temperatures). The central site ingests the data, runs some quality assurance tests, archives the data, and disseminates it in real time to a broad community of users, primarily through a computerized bulletin board system. This manuscript provides a technical description of the Oklahoma mesonet including a complete description of the instrumentation. Sensor inaccuracy, resolution, height ...
668 citations
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TL;DR: This work reviews the recent status of methodologies and techniques related to the construction of digital twins mostly from a modeling perspective to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.
Abstract: Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision making. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins mostly from a modeling perspective. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.
660 citations
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TL;DR: In this article, the authors used a simple experiment to show that fitting to a power law distribution by using graphical methods based on linear fit on the log-log scale is biased and inaccurate.
Abstract: This short communication uses a simple experiment to show that fitting to a power law distribution by using graphical methods based on linear fit on the log-log scale is biased and inaccurate. It shows that using maximum likelihood estimation (MLE) is far more robust. Finally, it presents a new table for performing the Kolmogorov-Smirnov test for goodness-of-fit tailored to power-law distributions in which the power-law exponent is estimated using MLE. The techniques presented here will advance the application of complex network theory by allowing reliable estimation of power-law models from data and further allowing quantitative assessment of goodness-of-fit of proposed power-law models to empirical data.
659 citations
Authors
Showing all 18403 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gerald I. Shulman | 164 | 579 | 109520 |
James M. Tiedje | 150 | 688 | 102287 |
Robert J. Sternberg | 149 | 1066 | 89193 |
Josh Moss | 139 | 1019 | 89255 |
Brad Abbott | 137 | 1566 | 98604 |
Itsuo Nakano | 135 | 1539 | 97905 |
Luis M. Liz-Marzán | 132 | 616 | 61684 |
Flera Rizatdinova | 130 | 1242 | 89525 |
Bernd Stelzer | 129 | 1209 | 81931 |
Alexander Khanov | 129 | 1219 | 87089 |
Dugan O'Neil | 128 | 1000 | 80700 |
Michel Vetterli | 128 | 901 | 76064 |
Josu Cantero | 126 | 846 | 73616 |
Nicholas A. Kotov | 123 | 574 | 55210 |
Wei Chen | 122 | 1946 | 89460 |