IEEE Transactions on Games

Aims & Scope

The IEEE Transactions on Games (T-G) publishes original high-quality articles covering scientific, technical, and engineering aspects of games.

The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE PSPB Operations Manual (sections 8.2.1.C & 8.2.2.A).

Each published article was reviewed by a minimum of two independent reviewers using a single-blind peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors.

Articles will be screened for plagiarism before acceptance.

Corresponding authors from low-income countries are eligible for waived or reduced open access APCs.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.8
2024	1.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.626

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	56

Journal Rank

Year	Value
2024	9234

Journal Citation Indicator

Year	Value
2024	588

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Procedural Content Generation via Machine Learning (PCGML)

  Citation: 252

  Authors: Adam, Sam, Matthew, Christoffer, Amy K., Aaron, Andy, Julian

• Deep Learning for Video Game Playing

  Citation: 149

  Authors: Niels, Philip, Julian, Sebastian

• General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms

  Citation: 88

  Authors: Diego, Jialin, Ahmed, Raluca D., Julian, Simon M.

• Learning to Navigate Through Complex Dynamic Environment With Modular Deep Reinforcement Learning

  Citation: 83

  Authors: Yuanda, Haibo, Changyin

• Learning of Behavior Trees for Autonomous Agents

  Citation: 72

  Authors: Michele, Ramviyas, Petter

• Win Prediction in Multiplayer Esports: Live Professional Match Prediction

  Citation: 65

  Authors: Victoria J., Sam, Nick, Florian, Peter I., Anders

• Automated Playtesting With Procedural Personas Through MCTS With Evolved Heuristics

  Citation: 64

  Authors: Christoffer, Michael Cerny, Antonios, Julian

• ViZDoom Competitions: Playing <i>Doom</i> From Pixels

  Citation: 61

  Authors: Marek, Michal, Wojciech

• Implementing Adaptive Game Difficulty Balancing in Serious Games

  Citation: 57

  Authors: Maurice, Tyrone, Sam, Victoria, Ian

• A Mobile Game for Automatic Emotion-Labeling of Images

  Citation: 52

  Authors: Haik, Khaled, Peter, Dennis P.

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