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IEEE Transactions on Pattern Analysis and Machine Intelligence

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IEEE Transactions on Pattern Analysis and Machine Intelligence
TitleIEEE Transactions on Pattern Analysis and Machine Intelligence
DisciplineComputer science, artificial intelligence
EditorKevin W. Bowyer
PublisherIEEE Computer Society
CountryUnited States
History1979–present
FrequencyMonthly
Impact23.6
Impact-year2022
AbbreviationIEEE Trans. Pattern Anal. Mach. Intell.
Websitehttps://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=34
ISSN0162-8828
EISSN1939-3539
CODENITPIDJ
LCCN80644315
OCLC45091552

IEEE Transactions on Pattern Analysis and Machine Intelligence. It is a premier monthly academic journal published by the IEEE Computer Society, covering foundational and applied research in computer vision, pattern recognition, and machine learning. The journal is renowned for publishing high-impact theoretical and algorithmic advances that shape the fields of artificial intelligence and image processing. With one of the highest impact factors in its domain, it is a core publication for researchers at institutions like the Massachusetts Institute of Technology, Stanford University, and University of California, Berkeley.

History and scope

The journal was established in 1979, evolving from earlier interests within the IEEE Computer Society in signal processing and information theory. Its scope has broadened significantly from initial focuses on image analysis and statistical classification to encompass the explosive growth of neural networks and deep learning. Core areas now include object recognition, biometrics, medical image analysis, video surveillance, and natural language processing. The publication serves as a critical bridge between theoretical research in algorithm design and practical applications developed by organizations like Google AI, Facebook AI Research, and the Allen Institute for Artificial Intelligence.

Abstracting and indexing

The journal is abstracted and indexed in major scientific databases including Science Citation Index, Scopus, Compendex, and PubMed Central. It is also included in the DBLP computer science bibliography and the ACM Digital Library. According to the Journal Citation Reports, published by Clarivate, it consistently ranks among the top journals in the categories of Artificial Intelligence and Computer Vision & Pattern Recognition. Its high Eigenfactor score and h-index reflect its widespread citation across publications from Springer Science+Business Media and Elsevier.

Editorial board and review process

The editorial board is led by the editor-in-chief, a position historically held by distinguished figures such as Rama Chellappa and currently Kevin W. Bowyer. The board comprises leading researchers from global institutions like University of Oxford, Carnegie Mellon University, and the Max Planck Society. The review process employs a rigorous double-blind peer review system, often involving experts from premier conferences like the IEEE Conference on Computer Vision and Pattern Recognition and the International Conference on Machine Learning. Editorial policies are set in accordance with the publishing ethics guidelines of the Committee on Publication Ethics.

Impact and recognition

It is widely regarded as one of the most influential and selective journals in its field. Its high impact factor, often leading the Journal Citation Reports categories, underscores its role in disseminating landmark research. Articles published here frequently receive awards such as the IEEE Computer Society's IEEE Fellow recognition and the Longuet-Higgins Prize at the European Conference on Computer Vision. The journal's influence extends to guiding research directions at major corporate labs like Microsoft Research and NVIDIA, as well as funding agencies like the National Science Foundation and the Defense Advanced Research Projects Agency.

Notable articles and special issues

The journal has published numerous seminal papers that have become foundational citations. Notable examples include early work on the SIFT descriptor by David G. Lowe, advances in face recognition by Takeo Kanade, and pioneering papers on convolutional neural networks preceding their dominance in deep learning. It regularly publishes special issues on emerging topics, such as those co-organized with the Association for the Advancement of Artificial Intelligence on reinforcement learning or with the International Journal of Computer Vision on 3D reconstruction. These issues often feature expanded versions of award-winning papers from the British Machine Vision Conference.

It is part of a family of prestigious journals published by the IEEE Computer Society, including IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Knowledge and Data Engineering. Researchers often also submit related work to journals like the International Journal of Computer Vision (published by Springer Science+Business Media), Pattern Recognition (published by Elsevier), and conferences like the Neural Information Processing Systems foundation meeting. Its sister magazine, IEEE Computer, often features overviews of transformative research first published in the transactions.

Category:Computer science journals Category:Artificial intelligence journals Category:IEEE Computer Society publications Category:Publications established in 1979 Category:English-language journals Category:Monthly journals