What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- The Internet
His primary areas of study are Advertising, Algorithm, Association, Computer network and Theoretical computer science.
Daniel H. Greene interconnects Telecommunications network, Networking hardware and Presentation in the investigation of issues within Advertising.
Daniel H. Greene has included themes like Line segment, Database maintenance and Compression in his Algorithm study.
His studies deal with areas such as Bidding, Information retrieval, Conjunction and Keyword advertising as well as Association.
His Computer network research incorporates elements of Argument, Vehicular ad hoc network and Transport engineering, Parking guidance and information.
His research investigates the connection with Theoretical computer science and areas like Data structure which intersect with concerns in Lossless compression and Error detection and correction.
His most cited work include:
- Epidemic algorithms for replicated database maintenance (1628 citations)
- Detecting and correcting malicious data in VANETs (481 citations)
- Optimal algorithms for approximate clustering (380 citations)
What are the main themes of his work throughout his whole career to date?
Daniel H. Greene spends much of his time researching Computer network, Algorithm, Parking guidance and information, Advertising and Smart parking.
His research in Computer network intersects with topics in Wireless ad hoc network and Set.
Algorithm is closely attributed to Theoretical computer science in his study.
His study looks at the relationship between Parking guidance and information and fields such as Occupancy, as well as how they intersect with chemical problems.
His study in Advertising is interdisciplinary in nature, drawing from both Keyword advertising, Marketing, Association and Presentation.
He usually deals with Occupancy sensor and limits it to topics linked to Embedded system and Real-time computing.
He most often published in these fields:
- Computer network (20.79%)
- Algorithm (12.36%)
- Parking guidance and information (11.80%)
What were the highlights of his more recent work (between 2008-2020)?
- Parking guidance and information (11.80%)
- Smart parking (9.55%)
- Occupancy (9.55%)
In recent papers he was focusing on the following fields of study:
Daniel H. Greene mainly focuses on Parking guidance and information, Smart parking, Occupancy, Occupancy sensor and Transport engineering.
His research on Parking guidance and information often connects related topics like Reservation.
In his works, Daniel H. Greene undertakes multidisciplinary study on Smart parking and Computer network.
As a part of the same scientific family, Daniel H. Greene mostly works in the field of Occupancy, focusing on Identity and, on occasion, Payment.
Daniel H. Greene has researched Occupancy sensor in several fields, including Computer security and Embedded system.
The various areas that Daniel H. Greene examines in his Transport engineering study include Charging station, Space and Operations research.
Between 2008 and 2020, his most popular works were:
- Computer-implemented system and method for managing motor vehicle parking reservations (196 citations)
- Computer-Implemented System And Method For Managing Interchangeable EV Charging-Capable Parking Spaces (143 citations)
- Receptive opportunity presentation of activity-based advertising (135 citations)
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