What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
His scientific interests lie mostly in Computer network, Wireless, Multimedia, Gateway and Wireless network.
He interconnects Broadband networks, Telecommunications, Wi-Fi array, Wireless WAN and Network Access Device in the investigation of issues within Computer network.
His work deals with themes such as Electrical engineering, Display device, Telecommunications network, Host and Global Positioning System, which intersect with Wireless.
Jeyhan Karaoguz combines subjects such as Electronic engineering, Embedded system and Fixed wireless with his study of Electrical engineering.
The various areas that Jeyhan Karaoguz examines in his Multimedia study include User interface, Exchange network and World Wide Web.
His Gateway study combines topics in areas such as Broadband and Multimedia information.
His most cited work include:
- Multi-mode controller (252 citations)
- Wireless power circuit board and assembly (241 citations)
- Using location information to control transmission signal levels of wireless devices (214 citations)
What are the main themes of his work throughout his whole career to date?
Jeyhan Karaoguz mostly deals with Computer network, Wireless, Multimedia, Gateway and Computer hardware.
His research in Computer network intersects with topics in Telecommunications and Wireless network, Wi-Fi array, Network Access Device.
While the research belongs to areas of Wireless, Jeyhan Karaoguz spends his time largely on the problem of Electronic engineering, intersecting his research to questions surrounding Transceiver.
Jeyhan Karaoguz focuses mostly in the field of Multimedia, narrowing it down to topics relating to Exchange network and, in certain cases, Telecommunications network.
His Gateway research incorporates elements of Access network and Broadband.
His research on Computer hardware frequently links to adjacent areas such as Signal.
He most often published in these fields:
- Computer network (44.12%)
- Wireless (21.58%)
- Multimedia (14.81%)
What were the highlights of his more recent work (between 2010-2019)?
- Computer network (44.12%)
- Computer vision (8.37%)
- Artificial intelligence (8.37%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Computer network, Computer vision, Artificial intelligence, Wireless and Computer graphics.
His studies deal with areas such as Bluetooth, Personal area network and Broadband as well as Computer network.
His work in Wireless covers topics such as Voltage which are related to areas like Energy harvesting.
Jeyhan Karaoguz has researched Computer graphics in several fields, including Video capture, Object, 3d image and Video camera.
His Video capture research includes elements of Video tracking and Video post-processing.
The Gateway study combines topics in areas such as Broadband networks and Access network.
Between 2010 and 2019, his most popular works were:
- Multi-mode wlan/pan mac (136 citations)
- Method of creating incentives for establishing hotspot locations (135 citations)
- Wireless power system (90 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Jeyhan Karaoguz mainly investigates Computer network, Wireless, Communication device, Electrical engineering and Multimedia.
His work on Gateway as part of his general Computer network study is frequently connected to Service provider, thereby bridging the divide between different branches of science.
Jeyhan Karaoguz works on Wireless which deals in particular with Wi-Fi array.
His Communication device study combines topics from a wide range of disciplines, such as Telecommunications network, Exchange network and Femtocell.
His Electrical engineering research is multidisciplinary, incorporating elements of Electronic engineering and Battery charger.
His Multimedia research integrates issues from Overlay, Selection, Television system and Encoding.
This overview was generated by a machine learning system which analysed the scientist’s
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