What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Database
Narain H. Gehani mainly investigates World Wide Web, Database, Database theory, Database schema and View.
His study in the field of Session also crosses realms of Customer service and Work space.
Narain H. Gehani has researched Database in several fields, including Object and Subroutine.
His research in Database theory intersects with topics in Programming language, Active database and Database model.
Narain H. Gehani studies View, focusing on Database tuning in particular.
His Database tuning research is multidisciplinary, incorporating elements of Database testing and Object-relational mapping.
His most cited work include:
- Maintaining consistency of database replicas (394 citations)
- Technique for obtaining and exchanging information on world wide web (317 citations)
- Composite Event Specification in Active Databases: Model & Implementation (288 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Programming language, World Wide Web, Database, Ode and Concurrent computing.
His Programming language study integrates concerns from other disciplines, such as Theoretical computer science and Database schema.
As a part of the same scientific study, he usually deals with the Database schema, concentrating on Database theory and frequently concerns with Database model.
His Session study in the realm of World Wide Web interacts with subjects such as Customer service and Personal information manager.
His Concurrent computing study combines topics from a wide range of disciplines, such as Robot and Operating system, Concurrency.
In Active database, he works on issues like Event, which are connected to Finite-state machine.
He most often published in these fields:
- Programming language (37.50%)
- World Wide Web (14.42%)
- Database (14.42%)
What were the highlights of his more recent work (between 1997-2011)?
- World Wide Web (14.42%)
- Session (5.77%)
- Programming language (37.50%)
In recent papers he was focusing on the following fields of study:
Narain H. Gehani mainly focuses on World Wide Web, Session, Programming language, Database and Signature.
His World Wide Web research includes elements of Identifier, Lightweight Directory Access Protocol and Communications system.
His Session research includes themes of Telecommunications network, Interface and Mobile code.
He undertakes interdisciplinary study in the fields of Programming language and Ode through his works.
His work on Database application and Database server is typically connected to Relational database management system and Hum as part of general Database study, connecting several disciplines of science.
Narain H. Gehani has included themes like Computer security and Data access in his Signature study.
Between 1997 and 2011, his most popular works were:
- Technique for obtaining and exchanging information on world wide web (317 citations)
- Apparatus and method for sharing information in simultaneously viewed documents on a communication system (240 citations)
- Geo-enabled personal information manager (193 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Database
Narain H. Gehani mainly investigates World Wide Web, Insider attack, Business, Mitigation methods and Intrusion.
In general World Wide Web study, his work on Session often relates to the realm of Computer users and Work space, thereby connecting several areas of interest.
Narain H. Gehani combines subjects such as Joins, Server system, Multimedia and Mobile code with his study of Session.
His Computer users study spans across into areas like Web browser, Interface, Controller and Computer network.
Narain H. Gehani integrates many fields in his works, including Work space, If and only if, Customer service, Information asymmetry, Named entity and Access to information.
Along with Insider attack, other disciplines of study including Signature, Computer security, Data access, Asset protection and Anomaly are integrated into his research.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
