Topic · Energy Efficiency in Computing
Most cited papers in Energy Efficiency in Computing
What are the most cited papers in Energy Efficiency in Computing?
The most cited paper in Energy Efficiency in Computing is "Google Earth Engine: Planetary-scale geospatial analysis for everyone" (Noel Gorelick, M. Hancher, Mike Dixon et al., 2017), with 15,009 citations. Next come "Ontology based context modeling and reasoning using OWL" (1,097) and "Google Earth Engine Applications" (616).
Showing 50 of 100 papers. Every paper with more than 41 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Google Earth Engine: Planetary-scale geospatial analysis for everyone Noel Gorelick, M. Hancher, Mike Dixon et al. · Remote Sensing of Environment | 6 Jul 2017 | 15,009 |
| 2 | Ontology based context modeling and reasoning using OWL Xiao Hang Wang, Da Qing Zhang, Tao Gu et al. | 10 Jun 2004 | 1,097 |
| 3 | Google Earth Engine Applications Onisimo Mutanga, Lalit Kumar · Remote Sensing | 12 Mar 2019 | 616 |
| 4 | Criteria, Strategies and Research Issues of Context-Aware Ubiquitous Learning Gwo Jen Hwang, Chin‐Chung Tsai, Stephen J.H. Yang | Apr 2008 | 568 |
| 5 | Memory power management via dynamic voltage/frequency scaling Howard David, Chris Fallin, Eugene Gorbatov et al. | 14 Jun 2011 | 341 |
| 6 | Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning Ahmed Al-Hmouz, Jun Shen, Rami Al‐Hmouz et al. · IEEE Transactions on Learning Technologies | 13 Dec 2011 | 287 |
| 7 | Personalised context-aware ubiquitous learning system for supporting effective English vocabulary learning Chih‐Ming Chen, Yilun Li · Interactive Learning Environments | 16 Jan 2009 | 285 |
| 8 | Dynamic Voltage Scaling in Multitier Web Servers with End-to-End Delay Control Tibor Horváth, Tarek Abdelzaher, Kevin Skadron et al. · IEEE Transactions on Computers | 14 Mar 2007 | 275 |
| 9 | A Fuzzy Embedded Agent-Based Approach for Realizing Ambient Intelligence in Intelligent Inhabited Environments Faiyaz Doctor, Hani Hagras, Vic Callaghan · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans | 20 Dec 2004 | 273 |
| 10 | Energy-Efficient Server Clusters E. N. Mootaz Elnozahy, Michael Kistler, Ramakrishnan Rajamony · Lecture notes in computer science | 2003 | 246 |
| 11 | The Current Perspectives, Theories and Practices of Mobile Learning Nilgün Özdamar, David H. Metcalf · Journal of International Crisis and Risk Communication Research | Apr 2011 | 218 |
| 12 | A Model for Reducing Power Consumption in Peer-to-Peer Systems Tomoya Enokido, Ailixier Aikebaier, Makoto Takizawa · IEEE Systems Journal | 26 May 2010 | 217 |
| 13 | Sensor-Based Fast Thermal Evaluation Model For Energy Efficient High-Performance Datacenters Qinghui Tang, Tridib Mukherjee, Sandeep K. S. Gupta et al. | Dec 2006 | 207 |
| 14 | MUDs grow up: social virtual reality in the real world Pavel Curtis, David Andrew Nichols | 17 Dec 2002 | 199 |
| 15 | Mobile Learning (M-Learning) and Educational Environments Mohamed Sarrab · International Journal of Distributed and Parallel systems | 31 Jul 2012 | 177 |
| 16 | Energy-Efficient Real-Time Heterogeneous Server Clusters Cosmin Rusu, Alexandre Ferreira, Claudio Scordino et al. | 28 Apr 2006 | 160 |
| 17 | A mobile butterfly-watching learning system for supporting independent learning Yuh‐Shyan Chen, Tai-Chien Kao, Gwo‐Jong Yu et al. | 10 Jun 2004 | 158 |
| 18 | Context-aware adaptive and personalized mobile learning delivery supported by UoLmP Sergio Gómez, Panagiotis Zervas, Demetrios G. Sampson et al. · Journal of King Saud University - Computer and Information Sciences | 21 Oct 2013 | 156 |
| 19 | Energy-Efficient Resource Allocation and Provisioning Framework for Cloud Data Centers Mehiar Dabbagh, Bechir Hamdaoui, Mohsen Guizani et al. · IEEE Transactions on Network and Service Management | 21 May 2015 | 152 |
| 20 | A new approach and system for attentive mobile learning based on seamless migration Degan Zhang · Applied Intelligence | 29 Jul 2010 | 150 |
| 21 | An Extended Simple Power Consumption Model for Selecting a Server to Perform Computation Type Processes in Digital Ecosystems Tomoya Enokido, Ailixier Aikebaier, Makoto Takizawa · IEEE Transactions on Industrial Informatics | 30 Jan 2014 | 143 |
| 22 | An energy-efficient model for fog computing in the Internet of Things (IoT) Ryuji Oma, Shigenari Nakamura, Dilawaer Duolikun et al. · Internet of Things | Sep 2018 | 135 |
| 23 | Mobile Learning Framework for Lifelong Learning Norazah Mohd. Nordin, Mohamed Amin Embi, Melor Md Yunus · Procedia - Social and Behavioral Sciences | 2010 | 135 |
| 24 | An adaptive navigation support system for conducting context-aware ubiquitous learning in museums Chuang-Kai Chiou, Judy C. R. Tseng, Gwo‐Jen Hwang et al. · Computers & Education | 3 Apr 2010 | 133 |
| 25 | Real Time Efficient Scheduling Algorithm for Load Balancing in Fog Computing Environment Manisha Verma, Neelam Bhardwaj, Arun Kumar Yadav · International Journal of Information Technology and Computer Science | 5 Apr 2016 | 129 |
| 26 | SensorMap for Wide-Area Sensor Webs Suman Nath, Jie Liu, Feng Zhao · Computer | Jul 2007 | 127 |
| 27 | PERKAM: Personalized Knowledge Awareness Map for Computer Supported Ubiquitous Learning. Moushir M. El-Bishouty, Hiroaki Ogata, Yoneo Yano | Jul 2007 | 117 |
| 28 | Rescue information system for earthquake disasters based on MANET emergency communication platform Hung-Chin Jang, Yao‐Nan Lien, Tzu-Chieh Tsai | 21 Jun 2009 | 108 |
| 29 | The MObile-based interactive learning environment (MOBILE)and a case study for assisting elementary school English learning Tan‐Hsu Tan, Tsung-Yu Liu | 23 Dec 2004 | 107 |
| 30 | Identifying At-Risk Students for Early Interventions—A Time-Series Clustering Approach Jui-Long Hung, Morgan C. Wang, Shuyan Wang et al. · IEEE Transactions on Emerging Topics in Computing | 26 Nov 2015 | 105 |
| 31 | Towards pervasive mobile learning – the vision of 21st century P. V. Vinu, Vinu Sherimon, Reshmy Krishnan · Procedia - Social and Behavioral Sciences | 2011 | 102 |
| 32 | An Integrated Power Consumption Model for Distributed Systems Tomoya Enokido, Makoto Takizawa · IEEE Transactions on Industrial Electronics | 26 Jul 2012 | 101 |
| 33 | Comparative study of soft computing techniques for mobile robot navigation in an unknown environment Mohammed Algabri, Hassan I. Mathkour, Ramdane Hedjar et al. · Computers in Human Behavior | 10 Apr 2015 | 96 |
| 34 | System for assessing classroom attention Mirko Raca, Pierre Dillenbourg | 8 Apr 2013 | 93 |
| 35 | Trustworthiness in P2P: performance behaviour of two fuzzy-based systems for JXTA-overlay platform Evjola Spaho, Shinji Sakamoto, Leonard Barolli et al. · Soft Computing | 24 Dec 2013 | 86 |
| 36 | Scalable Processing of Context Information with COSMOS Denis Conan, Romain Rouvoy, Lionel Seinturier · Lecture notes in computer science | 2007 | 82 |
| 37 | A type-2 fuzzy embedded agent to realise ambient intelligence in ubiquitous computing environments Faiyaz Doctor, Hani Hagras, Vic Callaghan · Information Sciences | 10 Dec 2004 | 82 |
| 38 | State-of-the-art survey on P2P overlay networks in pervasive computing environments Apostolos Malatras · Journal of Network and Computer Applications | 9 May 2015 | 82 |
| 39 | Online activity recognition using evolving classifiers Fco. Javier Ordóñez, José Antonio Iglesias, Paula de Toledo et al. · Expert Systems with Applications | 6 Sep 2012 | 80 |
| 40 | GeospatialVR: A web-based virtual reality framework for collaborative environmental simulations Yusuf Sermet, İbrahim Demir · Computers & Geosciences | 22 Nov 2021 | 79 |
| 41 | Context-Aware Architecture for Intelligent Application Services in Ubiquitous Computing Jae-Woo Chang, Hyunjo Lee · International Conference on Semantic Computing (ICSC 2007) | Sep 2007 | 78 |
| 42 | Improvement of JXTA Protocols for Supporting Reliable Distributed Applications in P2P Systems Fatos Xhafa, Raul Castro Fernandez, Τhanasis Daradoumis et al. · Lecture notes in computer science | 23 Aug 2007 | 78 |
| 43 | Adaptive context-aware pervasive and ubiquitous learning Anastasios A. Economides · International Journal of Technology Enhanced Learning | 2009 | 77 |
| 44 | Rule-based solution for context-aware reasoning on mobile devices Grzegorz Jacek Nalepa, Szymon Bobek · Computer Science and Information Systems | 2014 | 77 |
| 45 | Traditional Chinese Medicine Database and Application on the Web Min He, Xinjian Yan, Jiaju Zhou et al. · Journal of Chemical Information and Computer Sciences | Mar 2001 | 75 |
| 46 | Efficient Power Management of Heterogeneous Soft Real-Time Clusters Leping Wang, Ying Lü | Nov 2008 | 72 |
| 47 | A survey of adaptive context-aware learning environments Aziz Hasanov, Teemu H. Laine, Tae‐Sun Chung · Journal of Ambient Intelligence and Smart Environments | 12 Sep 2019 | 71 |
| 48 | Proactive Fuzzy Control and Adaptation Methods for Smart Homes Antti-Matti Vainio, Miika Valtonen, Jukka J. Vanhala · IEEE Intelligent Systems | Mar 2008 | 71 |
| 49 | Modeling Context-Aware e-Learning Scenarios Michael Derntl, Karin Anna Hummel | Apr 2005 | 70 |
| 50 | Wireless Disaster Monitoring and Management System for Dams Anita Anita, Rajesh Singh, Sushabhan Choudhury et al. · Procedia Computer Science | 2015 | 69 |
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 a field when OpenAlex files it under one of the field's topics; 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.