What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Tatsuya Suda spends much of his time researching Distributed computing, Computer network, Molecular communication, Middleware and Scalability.
His Distributed computing research is multidisciplinary, incorporating elements of Lightweight protocol, Protocol, Key and Communications protocol.
His Computer network study frequently draws connections between related disciplines such as Real-time computing.
His research integrates issues of Unicast and Code rate in his study of Molecular communication.
His Middleware study integrates concerns from other disciplines, such as Middleware, Workflow, Service and Component.
His study in Scalability is interdisciplinary in nature, drawing from both Replication, Autonomous agent, Multi-agent system, Telecommunications service and Evolutionary computation.
His most cited work include:
- An adaptive bandwidth reservation scheme for high-speed multimedia wireless networks (414 citations)
- Survey of traffic control schemes and protocols in ATM networks (297 citations)
- Molecular communication for nanomachines using intercellular calcium signaling (201 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Distributed computing, Molecular communication, Real-time computing and Asynchronous Transfer Mode.
His research investigates the connection between Distributed computing and topics such as Service that intersect with issues in Data as a service.
His Molecular communication research integrates issues from Electronic engineering and Communications system.
His Real-time computing research includes elements of Queue, Wireless sensor network and Queueing theory.
His Asynchronous Transfer Mode study incorporates themes from Flow control, Connectionless communication and Integrated Services Digital Network.
His studies in Bandwidth integrate themes in fields like Wireless network and Handover.
He most often published in these fields:
- Computer network (43.54%)
- Distributed computing (27.75%)
- Molecular communication (24.40%)
What were the highlights of his more recent work (between 2007-2020)?
- Molecular communication (24.40%)
- Computer network (43.54%)
- Distributed computing (27.75%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Molecular communication, Computer network, Distributed computing, Biological system and Signal.
In his research, Tatsuya Suda undertakes multidisciplinary study on Molecular communication and Molecular biophysics.
His research in Computer network intersects with topics in The Internet and Mobile QoS.
His Distributed computing research incorporates elements of Overlay network, Key, Resource allocation and Wireless ad hoc network.
His study looks at the relationship between Biological system and fields such as Microtubule, as well as how they intersect with chemical problems.
His research in the fields of Transmitter overlaps with other disciplines such as Membrane, Stereochemistry and Interfacing.
Between 2007 and 2020, his most popular works were:
- Molecular Communication: Modeling Noise Effects on Information Rate (186 citations)
- Molecular communication among biological nanomachines: a layered architecture and research issues. (172 citations)
- Semantics-based context-aware dynamic service composition (108 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His primary areas of study are Molecular communication, Cell biology, Signal, Molecular motor and Microtubule.
He has researched Molecular communication in several fields, including Computer architecture, Layer, Encoding, Telecommunications network and Electronic engineering.
He focuses mostly in the field of Telecommunications network, narrowing it down to topics relating to Key and, in certain cases, Distributed computing.
His work on Middleware as part of general Distributed computing research is frequently linked to Core, bridging the gap between disciplines.
His Molecular motor study combines topics from a wide range of disciplines, such as Biological system, DNA–DNA hybridization, DNA and Motility.
Many of his studies on Computer network apply to Visual sensor network as well.
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