Geoffrey M. Gelman spends much of his time researching Multimedia, Outcome, Advertising, Game of chance and Slot machine. In general Multimedia study, his work on Game play often relates to the realm of Group format and Group, thereby connecting several areas of interest. His Outcome research includes themes of Operations management and Video image.
His research on Advertising often connects related areas such as Web site. His work in Game of chance tackles topics such as Human–computer interaction which are related to areas like Theoretical computer science. His research investigates the connection between Simulation and topics such as Session that intersect with problems in Telecommunications.
His primary scientific interests are in Advertising, Outcome, Multimedia, Simulation and Game play. His Advertising study combines topics in areas such as Marketing and Commerce. As a member of one scientific family, Geoffrey M. Gelman mostly works in the field of Outcome, focusing on Operations management and, on occasion, Operations research.
His Multimedia research is multidisciplinary, incorporating perspectives in Session, The Internet and Human–computer interaction. In his work, Activity-based costing is strongly intertwined with Flat rate, which is a subfield of Simulation. Game play is closely attributed to Event in his study.
Geoffrey M. Gelman focuses on Advertising, Multimedia, Computer network, Session and Human–computer interaction. The Advertising study combines topics in areas such as Game of chance, Ticket, Marketing and Outcome. His study in the fields of Game play under the domain of Multimedia overlaps with other disciplines such as Group session.
Geoffrey M. Gelman has included themes like Controller, Signal and Order in his Computer network study. His research in Session intersects with topics in Flat rate, Activity-based costing and Simulation. His biological study spans a wide range of topics, including Social relation, Server and Electrical network.
His main research concerns Advertising, Multimedia, Actuarial science, Value and Balance. His research integrates issues of Outcome and Marketing, Purchasing in his study of Advertising. His research in the fields of Game play overlaps with other disciplines such as Sorting.
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.
Method and apparatus for linked play gaming
Jay S. Walker;James A. Jorasch;Daniel E. Tedesco;Stephen C. Tulley.
(2006)
Methods and systems for replaying a player's experience in a casino environment
Jay S. Walker;James A. Jorasch;Robert C. Tedesco;Daniel E. Tedesco.
(2006)
Method and apparatus for planning and customizing a gaming experience
Jay S. Walker;James A. Jorasch;Geoffrey M. Gelman;Norman C. Gilman.
(2010)
Gaming device for a flat rate play session and a method of operating same
Jay S. Walker;James A. Jorasch;Geoffrey M. Gelman;Magdalena M. Fincham.
(2004)
Game of chance systems and methods
Howard W. Lutnick;Lee Amaitis;Dean P. Alderucci;Geoffrey M. Gelman.
(2010)
Method and apparatus for advertising on a mobile gaming device
Howard W. Lutnick;Kevin Burman;Dean P. Alderucci;Geoffrey M. Gelman.
(2009)
Method and apparatus for directing a game in accordance with speed of play
Jay S. Walker;James A. Jorasch;Thomas M. Sparico;Geoffrey M. Gelman.
(2006)
Method and apparatus for linked play gaming with combined outcomes and shared indicia
Jay S. Walker;James A. Jorasch;Daniel E. Tedesco;Stephen C. Tulley.
(2007)
System and method for communicating game session information
Jay S. Walker;James A. Jorasch;Geoffrey M. Gelman;Magdalena M. Fincham.
(2006)
Game apparatus for displaying information about a game
Howard W. Lutnick;Dean P. Alderucci;Geoffrey M. Gelman;Stephen M. Merkel.
(2007)
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