What is he best known for?
The fields of study he is best known for:
- Operating system
- Database
- The Internet
His scientific interests lie mostly in Database, Scalability, Distributed computing, Cloud computing and Data mining.
His studies deal with areas such as Software engineering, Information privacy, Information retrieval and Server as well as Database.
His Scalability study combines topics in areas such as The Internet, World Wide Web, Peer-to-peer and Data management.
His Distributed computing research includes themes of Tree and Protocol.
His Cloud computing research includes elements of Multitenancy, Load balancing, Database transaction and Data science.
As part of one scientific family, Amr El Abbadi deals mainly with the area of Data mining, narrowing it down to issues related to the k-nearest neighbors algorithm, and often Data structure, Class, Initialization, Data modeling and Theoretical computer science.
His most cited work include:
- Limiting the spread of misinformation in social networks (512 citations)
- Efficient computation of frequent and top-k elements in data streams (473 citations)
- Big data and cloud computing: current state and future opportunities (444 citations)
What are the main themes of his work throughout his whole career to date?
Amr El Abbadi mainly focuses on Distributed computing, Database, Scalability, Cloud computing and Data mining.
His Distributed computing study integrates concerns from other disciplines, such as Serializability, Database transaction, Concurrency control and Protocol.
Much of his study explores Database relationship to Load balancing.
His research investigates the connection between Scalability and topics such as The Internet that intersect with problems in Computer security.
His Cloud computing study combines topics from a wide range of disciplines, such as Data security, Data management, Multitenancy, Server and Data science.
The various areas that he examines in his Data mining study include Theoretical computer science and Information retrieval.
He most often published in these fields:
- Distributed computing (23.51%)
- Database (19.78%)
- Scalability (17.91%)
What were the highlights of his more recent work (between 2013-2021)?
- Distributed computing (23.51%)
- Cloud computing (16.42%)
- Scalability (17.91%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Distributed computing, Cloud computing, Scalability, Computer security and Data management.
In general Distributed computing study, his work on Replication often relates to the realm of Strong consistency, thereby connecting several areas of interest.
Amr El Abbadi has included themes like Range query, Database, Cache, Bottleneck and Server in his Cloud computing study.
His research in Database intersects with topics in Service provider and Overhead.
His biological study spans a wide range of topics, including Consistency, Online analytical processing, Set and Blockchain.
Amr El Abbadi combines subjects such as Complex event processing, Fault tolerance, Taxonomy, Software and Computer network with his study of Data management.
Between 2013 and 2021, his most popular works were:
- Preserving Location Privacy in Geosocial Applications (92 citations)
- TaoStore: Overcoming Asynchronicity in Oblivious Data Storage (46 citations)
- Pagrol: Parallel graph olap over large-scale attributed graphs (39 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- The Internet
Scalability, Distributed computing, Cloud computing, Database and Data management are his primary areas of study.
His Scalability research is multidisciplinary, relying on both Consistency, Database transaction and Blockchain.
His work in the fields of Replication overlaps with other areas such as Strong consistency.
His Cloud computing research is multidisciplinary, incorporating perspectives in Scheduling, Range query, Data mining and Computer data storage.
Amr El Abbadi studied Database and Software that intersect with Computer security.
His work deals with themes such as Leader election, Paxos, Replica management, Edge computing and State machine replication, which intersect with Data management.
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