Sustainable Computing: Informatics and Systems

Aims & Scope

Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines.

The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource.

Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts.

SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers.

SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	5.7

SJR (SCImago Journal Rank)

Year	Value
2024	1.018

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	55

Journal Rank

Year	Value
2024	4687

Journal Citation Indicator

Year	Value
2024	2366

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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.

• Urbanization, economic growth and environmental pollution: Evidence from China

  Citation: 182

  Authors: Wei, Ming

• Development of Efficient CNN model for Tomato crop disease identification

  Citation: 153

  Authors: Mohit, Suneet Kr., K.K.

• The GREENSOFT Model: A reference model for green and sustainable software and its engineering

  Citation: 139

  Authors: Stefan, Markus, Eva, Timo

• Security, privacy & efficiency of sustainable Cloud Computing for Big Data & IoT

  Citation: 136

  Authors: Christos, Kostas E., Brij B., Yutaka

• Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning

  Citation: 97

  Authors: Radosvet, Fernando, José

• Plant leaf disease identification using exponential spider monkey optimization

  Citation: 96

  Authors: Sandeep, Basudev, Vivek Kumar, Harish, Jagdish Chand

• A review of thermal management and innovative cooling strategies for data center

  Citation: 95

  Authors: Chayan, Hasna, Stéphane

• Urban traffic flow prediction techniques: A review

  Citation: 87

  Authors: Boris, Eddy, Pilar, Javier E.

• A certificateless aggregate signature scheme for healthcare wireless sensor network

  Citation: 85

  Authors: Pankaj, Saru, Vishnu, Arun Kumar, Jianghong, Xiong

• Identification of tea leaf diseases by using an improved deep convolutional neural network

  Citation: 84

  Authors: Gensheng, Xiaowei, Yan, Mingzhu

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