What is he best known for?
The fields of study he is best known for:
- Algorithm
- Artificial intelligence
- Computer network
His primary areas of study are Distributed computing, Set, Topology, Opacity and Distributed generation.
His Distributed computing study combines topics in areas such as Computer network, Network packet, Stability, Fault detection and isolation and Bounded function.
The concepts of his Set study are interwoven with issues in Algorithm and Theoretical computer science.
His studies examine the connections between Algorithm and genetics, as well as such issues in Event, with regards to State and Observer.
His Topology research is multidisciplinary, incorporating perspectives in Discrete mathematics, Strongly connected component, Directed graph, Network topology and Iterative method.
His Network topology study integrates concerns from other disciplines, such as Function, Node and Upper and lower bounds.
His most cited work include:
- Distributed Function Calculation via Linear Iterative Strategies in the Presence of Malicious Agents (370 citations)
- A Two-Stage Distributed Architecture for Voltage Control in Power Distribution Systems (185 citations)
- Finite-Time Distributed Consensus in Graphs with Time-Invariant Topologies (171 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Algorithm, Distributed algorithm, Theoretical computer science, Finite-state machine and Distributed computing.
His Algorithm research is multidisciplinary, incorporating elements of Event, Fault tolerance, Sequence and Set.
His Distributed algorithm research incorporates elements of Directed graph, Iterative method, Strongly connected component, Node and Topology.
His Topology research integrates issues from Network topology, Graph and Network packet.
His work carried out in the field of Finite-state machine brings together such families of science as Computational complexity theory and State.
In his study, which falls under the umbrella issue of Distributed computing, AC power is strongly linked to Distributed generation.
He most often published in these fields:
- Algorithm (32.08%)
- Distributed algorithm (17.61%)
- Theoretical computer science (16.67%)
What were the highlights of his more recent work (between 2016-2021)?
- Distributed algorithm (17.61%)
- Theoretical computer science (16.67%)
- Topology (11.32%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Distributed algorithm, Theoretical computer science, Topology, Algorithm and State.
The study incorporates disciplines such as Node, Network topology, Convergence and Iterative method in addition to Distributed algorithm.
The Theoretical computer science study combines topics in areas such as Event, Probabilistic logic, Petri net and Finite-state machine.
His Topology research incorporates themes from Network congestion, Network packet, Digraph, Integer and Strongly connected component.
His Algorithm research incorporates elements of Observer and Node.
His Observer research is multidisciplinary, incorporating elements of Sequence and Set.
Between 2016 and 2021, his most popular works were:
- On the history of diagnosability and opacity in discrete event systems (42 citations)
- Distributed Averaging and Balancing in Network Systems (22 citations)
- Distributed Finite-Time Average-Consensus With Limited Computational and Storage Capability (21 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Artificial intelligence
- Computer network
Christoforos N. Hadjicostis mainly focuses on Distributed algorithm, Theoretical computer science, Algorithm, Event and Distributed computing.
Christoforos N. Hadjicostis has researched Distributed algorithm in several fields, including Convergence, Network topology, Node, Strongly connected component and Topology.
His Theoretical computer science study incorporates themes from Property, Equivalence and Graph.
His primary area of study in Algorithm is in the field of Iterative method.
The Event study combines topics in areas such as Synchronization, Probabilistic logic, State and Automaton.
The study incorporates disciplines such as Control, Decentralised system, Upper and lower bounds and Mobile robot in addition to Distributed computing.
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