ACM Transactions on Multimedia Computing, Communications and Applications

Aims & Scope

The ACM Transactions on Multimedia Computing, Communications, and Applications is the flagship publication of the ACM Special Interest Group in Multimedia (SIGMM).

It is soliciting paper submissions on all aspects of multimedia.

Papers on single media (for instance, audio, video, animation) and their processing are also welcome.

TOMM is a peer-reviewed, archival journal, available in both print form and digital form.

The Journal is published quarterly; with roughly 7 23-page articles in each issue.

In addition, all Special Issues are published online-only to ensure a timely publication.

The transactions consists primarily of research papers.

This is an archival journal and it is intended that the papers will have lasting importance and value over time.

In general, papers whose primary focus is on particular multimedia products or the current state of the industry will not be included.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	6
2024	5.20

Journal Rank

Year	Value
2024	5833

Journal Citation Indicator

Year	Value
2024	4065

SJR (SCImago Journal Rank)

Year	Value
2024	0.885

Quartile

Year	Value
2024	Q1

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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, 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.

• Content-based multimedia information retrieval

  Citation: 1082

  Authors: Michael S., Nicu, Chabane, Ramesh

• Video abstraction

  Citation: 664

  Authors: Ba Tu, Svetha

• Unsupervised Person Re-identification

  Citation: 523

  Authors: Hehe, Liang, Chenggang, Yi

• A Discriminatively Learned CNN Embedding for Person Reidentification

  Citation: 498

  Authors: Zhedong, Liang, Yi

• Dual-path Convolutional Image-Text Embeddings with Instance Loss

  Citation: 421

  Authors: Zhedong, Liang, Michael, Yi, Mingliang, Yi-Dong

• Procedural content generation for games

  Citation: 337

  Authors: Mark, Sebastiaan, Joeri, Alexandru

• Understanding and Creating Art with AI: Review and Outlook

  Citation: 314

  Authors: Eva, James

• Applying Deep Learning for Epilepsy Seizure Detection and Brain Mapping Visualization

  Citation: 239

  Authors: M. Shamim, Syed Umar, Mansour, Ghulam

• CM-GANs

  Citation: 232

  Authors: Yuxin, Jinwei

• Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease

  Citation: 231

  Authors: M., B., R. U., A. H., P., M., C. T.

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