What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Computer network, Distributed computing, Wireless network, Quality of service and Computer security are his primary areas of study.
His study in Computer network is interdisciplinary in nature, drawing from both Wireless, Wireless ad hoc network, Communication channel and Energy consumption.
His Distributed computing research includes elements of Ethernet flow control, Link-state routing protocol, Routing protocol, Dynamic Source Routing and Intelligent Network.
His Wireless network study integrates concerns from other disciplines, such as Cryptography, Video quality and Packet loss.
His Quality of service study combines topics in areas such as Node, The Internet and Mobile QoS.
His Computer security research is multidisciplinary, incorporating elements of Mobile computing, Artificial intelligence and Mobile telephony.
His most cited work include:
- Visible Light Communication, Networking, and Sensing: A Survey, Potential and Challenges (738 citations)
- Power conservation and quality of surveillance in target tracking sensor networks (474 citations)
- FIREMAN: a toolkit for firewall modeling and analysis (364 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Distributed computing, Wireless, Computer security and Wireless network.
His studies deal with areas such as Wireless mesh network, The Internet and Communication channel as well as Computer network.
His work investigates the relationship between The Internet and topics such as Server that intersect with problems in Web server.
His research in Distributed computing intersects with topics in Network topology, Scheduling, Wireless ad hoc network and Routing protocol.
His studies in Wireless integrate themes in fields like Wireless sensor network, Real-time computing and Reliability.
Prasant Mohapatra focuses mostly in the field of Computer security, narrowing it down to topics relating to Android and, in certain cases, Mobile device.
He most often published in these fields:
- Computer network (51.05%)
- Distributed computing (18.70%)
- Wireless (16.39%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer security (14.08%)
- Wireless (16.39%)
- Computer network (51.05%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Computer security, Wireless, Computer network, Artificial intelligence and Wireless sensor network.
In the subject of general Computer security, his work in Intrusion detection system is often linked to Smart contract, thereby combining diverse domains of study.
His Wireless research incorporates themes from Home automation, Telecommunications link, Encryption and Broadcasting.
He combines subjects such as Communication channel and Integration architecture with his study of Computer network.
His biological study spans a wide range of topics, including Data mining, Real-time computing, Node, Signal and Sensor fusion.
His Real-time computing study combines topics from a wide range of disciplines, such as Radar and Efficient energy use.
Between 2017 and 2021, his most popular works were:
- Edge Cloud Offloading Algorithms: Issues, Methods, and Perspectives (40 citations)
- BF-IoT: Securing the IoT Networks via Fingerprinting-Based Device Authentication (21 citations)
- Anomaly Detection with Graph Convolutional Networks for Insider Threat and Fraud Detection (19 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His primary areas of investigation include Wireless sensor network, Computer security, Algorithm, Data mining and Wireless.
The Wireless sensor network study combines topics in areas such as User interface, Routing table, Hierarchical routing, Node and Path vector protocol.
Prasant Mohapatra has included themes like Communications protocol and Firmware in his Computer security study.
His work on Computation as part of general Algorithm study is frequently linked to Saddle point, therefore connecting diverse disciplines of science.
His Data mining research is multidisciplinary, incorporating perspectives in Artificial neural network, Particle swarm optimization, Data loss and Missing data.
His biological study spans a wide range of topics, including Event, Enforcement, Latency and Encryption.
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