International Journal of Multimedia Information Retrieval

Aims & Scope

The International Journal of Multimedia Information Retrieval (IJMIR) is a scholarly archival journal publishing original, peer-reviewed research contributions.

Its editorial board strives to present the most important research results in areas within the field of multimedia information retrieval.

Core areas include exploration, search, and mining in general collections of multimedia consisting of information from the WWW to scientific imaging to personal archives.

Comprehensive review and survey papers that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.

Relevant topics include *Image and video retrieval - theory, algorithms, and systems *Social media interaction and retrieval - collaborative filtering, social voting and ranking *Music and audio retrieval - theory, algorithms, and systems *Scientific and Bio-imaging - MRI, X-ray, ultrasound imaging analysis and retrieval *Semantic learning - visual concept detection, object recognition, and tag learning *Exploration of media archives - browsing, experiential computing *Interfaces - multimedia exploration, visualization, query and retrieval *Multimedia mining - life logs, WWW media mining, pervasive media analysis *Interactive search - interactive learning and relevance feedback in multimedia retrieval *Distributed and high performance media search - efficient and very large scale search *Applications - preserving cultural heritage, 3D graphics models, etc.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.9
2024	3.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.882

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	33

Journal Rank

Year	Value
2024	5865

Journal Citation Indicator

Year	Value
2024	615

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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, Engineering and Social Sciences, 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.

• A review of semantic segmentation using deep neural networks

  Citation: 674

  Authors: Yanming, Yu, Theodoros, Michael S.

• A review on deep learning in medical image analysis

  Citation: 433

  Authors: S., V., K.

• A survey on instance segmentation: state of the art

  Citation: 422

  Authors: Abdul Mueed, Ghulam Mohiuddin

• Current challenges and visions in music recommender systems research

  Citation: 252

  Authors: Markus, Hamed, Ching-Wei, Yashar, Mehdi

• Optical music recognition: state-of-the-art and open issues

  Citation: 167

  Authors: Ana, Ichiro, Filipe, Andre R. S., Carlos, Jaime S.

• Detection and visualization of misleading content on Twitter

  Citation: 151

  Authors: Christina, Symeon, Markos, Lazaros, Olga, Yiannis

• Directional local extrema patterns: a new descriptor for content based image retrieval

  Citation: 144

  Authors: Subrahmanyam, R. P., R.

• A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision

  Citation: 133

  Authors: Theodoros, Yu, Wei, Michael

• High-level event recognition in unconstrained videos

  Citation: 115

  Authors: Yu-Gang, Subhabrata, Shih-Fu, Mubarak

• Anomaly detection using edge computing in video surveillance system: review

  Citation: 114

  Authors: Devashree R., Mayur Rajaram

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