JOURNAL METRICS

CiteScore 2023: ℹCiteScore:

CiteScore is the number of citations received by a journal in one year to documents published in the three previous years, divided by the number of documents indexed in Scopus published in those same three years.

SCImago Journal Rank (SJR) 2023: ℹSCImago Journal Rank (SJR):

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Source Normalized Impact per Paper (SNIP) 2023: ℹSource Normalized Impact per Paper(SNIP):

SNIP measures a source’s contextual citation impact by weighting citations based on the total number of citations in a subject field. It helps you make a direct comparison of sources in different subject fields. SNIP takes into account characteristics of the source's subject field, which is the set of documents citing that source.

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Most Read and Cited

Novel Approach of Non-linearity Analyses of Resistive Temperature Sensors

Tariq M. Younes

https://doi.org/10.18280/ria.330212

Page 159-164

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Avoiding Interoperability and Delay in Healthcare Monitoring System Using Block Chain Technology

Vejendla Lakshman Narayana, Arepalli Peda Gopi, Kosaraju Chaitanya

https://doi.org/10.18280/ria.330108

Page 45-48

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Constructivist learning based on multiagent systems. An application to the complex problem of cooperative traffic regulation

Maxime Guériau, Frédéric Armetta, Salima Hassas, Romain Billot, Nour-Eddin El Faouzi

https://doi.org/10.3166/RIA.32.249-277

Page 249-277

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https://ria.revuesonline.com/accueil.jsp

Object Detection in Convolution Neural Networks Using Iterative Refinements

Vijay Vasanth Aroulanandam, Thamarai Pugazhendhi Latchoumi, Battula Bhavya, Shaik Sajida Sultana

https://doi.org/10.18280/ria.330506

Page 367-372

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Benefit from domain ontologies and rule mining to improve truth discovery

Valentina Beretta, Sylvie Ranwez, Sébastien Harispe, Isabelle Mougenot

https://doi.org/10.3166/RIA.32.373-405

Page 373-405

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SMILK, linking natural language and data from the web

Cédric Lopez, Molka Tounsi Dhouib, Elena Cabrio, Catherine Faron Zucker, Fabien Gandon, Frédérique Segond

https://doi.org/10.3166/RIA.32.287-312

Page 287-312

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Classification of White Blood Cells by Deep Learning Methods for Diagnosing Disease

Muhammed Yildirim, Ahmet Çinar

https://doi.org/10.18280/ria.330502

Page 335-340

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