What is he best known for?
The fields of study he is best known for:
- The Internet
- Computer network
- Artificial intelligence
His main research concerns Mobile device, Computer program, Database transaction, Multimedia and Augmented reality.
His Mobile device research includes themes of Computer network, Security token, Computer graphics, Interface and Object.
His studies in Computer program integrate themes in fields like Cognitive neuroscience of visual object recognition, Personalization and Implementation.
The Database transaction study combines topics in areas such as Financial institution, Telecommunications and World Wide Web.
His Multimedia research incorporates elements of Card reader, Credit card and Gift card.
Matthew A. Calman focuses mostly in the field of Augmented reality, narrowing it down to matters related to Product and, in some cases, Plan and Association.
His most cited work include:
- Pre-payment authorization categorization (153 citations)
- Implementing security measures for authorized tokens used in mobile transactions (124 citations)
- Triggering offers based on detected location of a mobile point of sale device (120 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Database transaction, Computer program, Mobile device, Database and World Wide Web.
His Database transaction study combines topics from a wide range of disciplines, such as Financial institution, Payment, Commerce and Point.
His Payment research is multidisciplinary, incorporating perspectives in Computer security and Order.
Matthew A. Calman works mostly in the field of Computer program, limiting it down to concerns involving Multimedia and, occasionally, Customer service and Mobile computing.
In his work, Live video is strongly intertwined with Cognitive neuroscience of visual object recognition, which is a subfield of Mobile device.
The various areas that Matthew A. Calman examines in his World Wide Web study include User interface, User device and Finance.
He most often published in these fields:
- Database transaction (36.65%)
- Computer program (34.39%)
- Mobile device (27.60%)
What were the highlights of his more recent work (between 2012-2016)?
- Database transaction (36.65%)
- Computer program (34.39%)
- Mobile device (27.60%)
In recent papers he was focusing on the following fields of study:
Matthew A. Calman focuses on Database transaction, Computer program, Mobile device, Database and Computer security.
His Database transaction study incorporates themes from Commerce, Financial institution, Payment, Finance and Mobile banking.
His research in Financial institution intersects with topics in Marketing and ATM card.
Matthew A. Calman combines subjects such as Product, Executable and World Wide Web, Receipt with his study of Computer program.
His Product study integrates concerns from other disciplines, such as Merchant account, Computer network and Social network.
His Mobile device research focuses on subjects like Augmented reality, which are linked to Mobile phone.
Between 2012 and 2016, his most popular works were:
- Geolocation check-in system (50 citations)
- Use of e-receipts to determine total cost of ownership (42 citations)
- Pre-ordering based on location of a customer (28 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Computer network
- Software
Matthew A. Calman mainly investigates Database transaction, Mobile device, Finance, Computer security and Database.
His Database transaction research includes elements of Computer program, Valuation and Stock keeping unit.
His studies deal with areas such as Financial institution and Commerce as well as Computer program.
Mobile device is a subfield of World Wide Web that Matthew A. Calman studies.
His research investigates the connection with Computer security and areas like Payment which intersect with concerns in Image and Wireless computing.
His work carried out in the field of Database brings together such families of science as Object and Wish list.
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.
