ACM

ACM Transactions on Embedded Computing Systems Template

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About the ACM Transactions on Embedded Computing Systems format

ACM Transactions on Embedded Computing Systems is a peer-reviewed journal published by ACM, covering Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques, Real-Time Systems Scheduling. Over its lifetime it has published 2,194 papers, which have received 40,595 citations.

PublisherACM
Reference styleNumbered (ACM)
Numbered — [1], [2] in the text
[1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM Transactions on Embedded Computing Systems 12, 3, Article 45 (2023).

Formats any DOI in ACM Transactions on Embedded Computing Systems style. No sign-up.

Publishes research inParallel Computing and Optimization Techniques Embedded Systems Design Techniques Real-Time Systems Scheduling Interconnection Networks and Systems Formal Methods in Verification
ISSN1539-9087
Citation impact (2-yr)1.73
h-index79
i10-index890
Top institutions publishing hereUniversity of California, Irvine
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Papers published in ACM Transactions on Embedded Computing Systems per year

120
2014
93
2015
125
2016
196
2017
66
2018
138
2019
61
2020
109
2021
150
2022
164
2023
89
2024
173
2025

Citation impact of ACM Transactions on Embedded Computing Systems by publication year

2.1K
2014
1.2K
2015
1.8K
2016
3.5K
2017
795
2018
2.2K
2019
607
2020
1.5K
2021
2.2K
2022
1.6K
2023
305
2024
203
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in ACM Transactions on Embedded Computing Systems

The worst-case execution-time problem—overview of methods and survey of tools

Reinhard Wilhelm, Jakob Engblom, Andreas Ermedahl et al. · 1 Apr 2008

The determination of upper bounds on execution times, commonly called worst-case execution times (WCETs), is a necessary step in the development and validation process for hard real-time systems. This problem is hard if the underlying processor architecture has components, such as caches, pipelines, branch prediction, and other speculative components. This article describes different approaches to…

1,849 citations Cite SaveGo to paper →
Power management in energy harvesting sensor networks

Aman Kansal, Jason C. Hsu, Sadaf Zahedi et al. · 1 Sep 2007

Power management is an important concern in sensor networks, because a tethered energy infrastructure is usually not available and an obvious concern is to use the available battery energy efficiently. However, in some of the sensor networking applications, an additional facility is available to ameliorate the energy problem: harvesting energy from the environment. Certain considerations…

1,541 citations Cite SaveGo to paper →
A log buffer-based flash translation layer using fully-associative sector translation

Sang-Won Lee, Dong-Joo Park, Tae‐Sun Chung et al. · 1 Jul 2007

Flash memory is being rapidly deployed as data storage for mobile devices such as PDAs, MP3 players, mobile phones, and digital cameras, mainly because of its low electronic power, nonvolatile storage, high performance, physical stability, and portability. One disadvantage of flash memory is that prewritten data cannot be dynamically overwritten. Before overwriting prewritten data, a…

Survey of Stochastic Computing

Armin Alaghi, John P. Hayes · 1 May 2013

Stochastic computing (SC) was proposed in the 1960s as a low-cost alternative to conventional binary computing. It is unique in that it represents and processes information in the form of digitized probabilities. SC employs very low-complexity arithmetic units which was a primary design concern in the past. Despite this advantage and also its inherent error…

Sensor deployment and target localization in distributed sensor networks

Yi Zou, Krishnendu Chakrabarty · 1 Feb 2004

The effectiveness of cluster-based distributed sensor networks depends to a large extent on the coverage provided by the sensor deployment. We propose a virtual force algorithm (VFA) as a sensor deployment strategy to enhance the coverage after an initial random placement of sensors. For a given number of sensors, the VFA algorithm attempts to maximize…

ACM Transactions on Embedded Computing Systems template — frequently asked questions

How do I write a paper in the ACM Transactions on Embedded Computing Systems format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the ACM Transactions on Embedded Computing Systems template. When you export, DocuGuru compiles the paper into the official ACM format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does ACM Transactions on Embedded Computing Systems use?
ACM Transactions on Embedded Computing Systems uses Numbered (ACM) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM Transactions on Embedded Computing Systems 12, 3, Article 45 (2023).
Do I need to know LaTeX to submit to ACM Transactions on Embedded Computing Systems?
No. DocuGuru generates the acmart LaTeX class and compiles the PDF for you in the background, so you get a ACM-ready ACM Transactions on Embedded Computing Systems document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the ACM Transactions on Embedded Computing Systems template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the ACM Transactions on Embedded Computing Systems format with correct headings, figures, tables, and numbered citations.
What is ACM Transactions on Embedded Computing Systems?
ACM journal. It is a engineering and computer science journal, published by ACM.
Can I export a submission-ready ACM Transactions on Embedded Computing Systems PDF?
Yes — DocuGuru produces a PDF built with the official ACM Transactions on Embedded Computing Systems template (the acmart class) that is ready to submit to ACM, together with the matching LaTeX source files.
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