What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His primary areas of study are Cloud computing, Data science, Mobile edge computing, Context and Big data.
He works in the field of Cloud computing, focusing on Cloudlet in particular.
Within one scientific family, Ejaz Ahmed focuses on topics pertaining to World Wide Web under Data science, and may sometimes address concerns connected to Scalability, Network architecture and Wireless.
His Mobile edge computing study deals with Edge computing intersecting with Utility computing.
His Big data research is multidisciplinary, relying on both Analytics and Smart city.
His Mobile device research incorporates elements of Distributed computing and Mobile computing.
His most cited work include:
- The role of big data in smart city (454 citations)
- A survey on mobile edge computing (349 citations)
- Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges (324 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cloud computing, Computer network, Data science, Distributed computing and Mobile cloud computing.
His research integrates issues of Computer security, Server, Mobile device and Mobile computing in his study of Cloud computing.
His research in Computer network intersects with topics in Wireless, Communication channel and Vehicular ad hoc network.
His Data science research includes elements of Taxonomy, Wireless sensor network, The Internet and Big data.
His study in Big data is interdisciplinary in nature, drawing from both Open research and World Wide Web.
His Distributed computing research integrates issues from Utility computing, Software deployment, Profiling and Usability.
He most often published in these fields:
- Cloud computing (45.00%)
- Computer network (28.75%)
- Data science (21.25%)
What were the highlights of his more recent work (between 2018-2020)?
- Cloud computing (45.00%)
- Data science (21.25%)
- Big data (18.75%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cloud computing, Data science, Big data, Anomaly detection and Edge computing.
Cloud computing and Distributed computing are frequently intertwined in his study.
His Data science research includes themes of Scalability, The Internet, Service and Taxonomy.
His Big data study combines topics in areas such as Bibliometrics, Library science and Scheduling.
Ejaz Ahmed interconnects Cyberwarfare, Analytics, Network security and Cluster analysis in the investigation of issues within Anomaly detection.
His Edge computing study integrates concerns from other disciplines, such as Cloudlet, Location awareness, Computation and Server.
Between 2018 and 2020, his most popular works were:
- Edge computing: A survey (129 citations)
- Real-time big data processing for anomaly detection: A Survey (95 citations)
- Social media big data analytics: A survey (84 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Computer network
- Operating system
The scientist’s investigation covers issues in Data science, Cloud computing, The Internet, Cloudlet and Augmented reality.
The study incorporates disciplines such as Cyberwarfare and Taxonomy in addition to Data science.
He works on Cloud computing which deals in particular with Virtualization.
The various areas that he examines in his The Internet study include Social media, Open research and Big data.
His Cloudlet study incorporates themes from Location awareness, Edge computing, End user and Mobile edge computing.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
