What is he best known for?
The fields of study he is best known for:
- Operating system
- Database
- Artificial intelligence
The scientist’s investigation covers issues in Distributed computing, Mobile computing, Computer network, World Wide Web and Data mining.
His study in Distributed computing is interdisciplinary in nature, drawing from both Consistency, Serializability, Scalability and Transaction processing.
The Mobile computing study combines topics in areas such as Computer security, Wireless network, Mobile search and Autonomic computing.
His work carried out in the field of Mobile search brings together such families of science as Mobile technology and Mobile database.
His work on Recommender system is typically connected to Diversification as part of general World Wide Web study, connecting several disciplines of science.
Evaggelia Pitoura interconnects Object, Information retrieval, Heuristics and Degree in the investigation of issues within Data mining.
His most cited work include:
- Locating objects in mobile computing (246 citations)
- Data management for mobile computing (236 citations)
- Business models and transactions in mobile electronic commerce: requirements and properties (175 citations)
What are the main themes of his work throughout his whole career to date?
Evaggelia Pitoura mainly investigates Distributed computing, Mobile computing, Computer network, World Wide Web and Theoretical computer science.
His work on Mobile agent as part of general Distributed computing study is frequently linked to Dissemination, bridging the gap between disciplines.
His Mobile computing research includes themes of Ubiquitous computing, Wireless network, Mobile search and Mobile database.
His study on Peer-to-peer and Cache is often connected to Mobile telephony as part of broader study in Computer network.
When carried out as part of a general World Wide Web research project, his work on Recommender system, The Internet and Metadata is frequently linked to work in Publication, therefore connecting diverse disciplines of study.
His Theoretical computer science research is multidisciplinary, relying on both Node, Graph database, Graph and Data mining.
He most often published in these fields:
- Distributed computing (24.09%)
- Mobile computing (18.18%)
- Computer network (15.45%)
What were the highlights of his more recent work (between 2014-2021)?
- Theoretical computer science (12.27%)
- Graph (5.91%)
- Data science (6.82%)
In recent papers he was focusing on the following fields of study:
Evaggelia Pitoura mainly focuses on Theoretical computer science, Graph, Data science, Artificial intelligence and Recommender system.
The various areas that Evaggelia Pitoura examines in his Theoretical computer science study include Node, Maximum flow problem, Graph and Social network.
His Recommender system research is within the category of World Wide Web.
His World Wide Web research is multidisciplinary, incorporating perspectives in Probabilistic logic and Baseline.
In his study, which falls under the umbrella issue of Greedy algorithm, Data mining is strongly linked to Centrality.
His work deals with themes such as Distributed algorithm, Distributed computing and In-Memory Processing, which intersect with Computation.
Between 2014 and 2021, his most popular works were:
- Diversity in Big Data: A Review. (63 citations)
- Fairness in Package-to-Group Recommendations (34 citations)
- On Measuring Bias in Online Information (30 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- Artificial intelligence
His scientific interests lie mostly in Theoretical computer science, Graph, Data science, Recommender system and Mathematical optimization.
In general Theoretical computer science study, his work on Reachability often relates to the realm of Spatial database, thereby connecting several areas of interest.
His Recommender system research integrates issues from Database, Focus and Synthetic data.
His Focus study incorporates themes from Probabilistic logic, Baseline, World Wide Web and Operations research.
The Mathematical optimization study which covers Shortest path problem that intersects with Heuristics and Data mining.
Evaggelia Pitoura has included themes like Distributed algorithm, Distributed computing, k-nearest neighbors algorithm, Cloud computing and In-Memory Processing in his Server study.
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