D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 43 Citations 6,485 97 World Ranking 5086 National Ranking 2497

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • The Internet

Alfred Thomas spends much of his time researching Outcome, Slot machine, Input device, Stochastic game and Symbol. The Outcome study combines topics in areas such as Computer graphics and Human–computer interaction. A majority of his Slot machine research is a blend of other scientific areas, such as Feature, Strategy, Game client, Microeconomics and Operations management.

His Feature research is multidisciplinary, relying on both Engineering drawing and Arithmetic. His biological study spans a wide range of topics, including Multimedia and Simulation. His Artificial intelligence study integrates concerns from other disciplines, such as Computer network and Security token.

His most cited work include:

  • Bonus game for a gaming machine (863 citations)
  • Gaming machines with board game theme (569 citations)
  • Gaming device with variable bonus payout feature (399 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Outcome, Computer graphics, Multimedia, Input device and Human–computer interaction. The various areas that Alfred Thomas examines in his Outcome study include Game play, Reel and Operations management. Alfred Thomas has researched Computer graphics in several fields, including Object and Video image.

His work on Game client as part of general Multimedia research is often related to Game player and Game of chance, thus linking different fields of science. The study incorporates disciplines such as Controller and Simulation in addition to Input device. He has included themes like Mode and Theme in his Artificial intelligence study.

He most often published in these fields:

  • Outcome (26.92%)
  • Computer graphics (25.00%)
  • Multimedia (18.27%)

What were the highlights of his more recent work (between 2010-2020)?

  • Multimedia (18.27%)
  • Computer graphics (25.00%)
  • Outcome (26.92%)

In recent papers he was focusing on the following fields of study:

Alfred Thomas mainly focuses on Multimedia, Computer graphics, Outcome, Symbol and Input device. His primary area of study in Multimedia is in the field of Game client. His Computer graphics research incorporates a variety of disciplines, including Front, Stepper and Stepper motor.

His work deals with themes such as Computer hardware, Reel and Engineering drawing, which intersect with Outcome. His research integrates issues of Animation and Human–computer interaction in his study of Input device. His work investigates the relationship between Human–computer interaction and topics such as Mobile device that intersect with problems in Computer network, Mobile payment, Validator and Receipt.

Between 2010 and 2020, his most popular works were:

  • Methods Of Receiving Electronic Wagers In A Wagering Game Via A Handheld Electronic Wager Input Device (55 citations)
  • Integrating three-dimensional elements into gaming environments (47 citations)
  • Mobile payment and credit integration into a wagering game machine (33 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • The Internet
  • Artificial intelligence

His primary scientific interests are in Mobile device, Process management, Advertising, Human–computer interaction and Multimedia. His study in Mobile device is interdisciplinary in nature, drawing from both Computer security, Executable, Receipt and Validator. Human–computer interaction is often connected to Input device in his work.

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.

Best Publications

Bonus game for a gaming machine

Alfred Thomas;Benjamin T. Gomez;Robert J. Wilson;Roger A. Delott.
(1999)

1234 Citations

Slot machine with incremental pay-off multiplier

Benjamin T. Gomez;Alfred Thomas;Robert J. Wilson.
(1997)

940 Citations

Gaming device with variable bonus payout feature

Erica A. Frohm;Lawrence E. Demar;Robert J. Wilson;Alfred Thomas.
(1999)

788 Citations

Gaming machines with board game theme

Lawrence E. Demar;Joel R. Jaffe;Erica R. Frohm;Scott Slomiany.
(2002)

754 Citations

Multi-player, multi-touch table for use in wagering game systems

Vladimir I. Arezina;Gilbert J. Q. Burak;Mark B. Gagner;Benjamin T. Gomez.
(2007)

440 Citations

Wagering game with special-event eligibility feature based on passive game play

Alfred Thomas;Mark B. Gagner.
(2007)

276 Citations

Slot machine with collection-based award feature

Benjamin T. Gomez;Alfred Thomas.
(1999)

262 Citations

Gaming machine with video mode payoff multiplier

Roger A. Delott;Alfred Thomas.
(1999)

252 Citations

Gaming system having outcomes interactive with playing fields

Matthew Wilson;Benjamin T. Gomez;Joel R. Jaffe;Jeremie Moll.
(2008)

251 Citations

Gaming machine having a player time-selectable bonus award scheme and an intelligent button

Charles R. Bleich;Stephen A. Canterbury;John W. Skalon;Alfred Thomas.
(2007)

193 Citations

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