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ACM Computing Surveys Template

Write in a clean editor, then format for ACM Computing Surveys in one click — DocuGuru applies the official ACM template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

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About the ACM Computing Surveys format

ACM Computing Surveys is a peer-reviewed journal published by ACM, covering Advanced Malware Detection Techniques, Distributed systems and fault tolerance, IoT and Edge/Fog Computing. Over its lifetime it has published 3,787 papers, which have received 498,148 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 Computing Surveys 12, 3, Article 45 (2023).

Formats any DOI in ACM Computing Surveys style. No sign-up.

Publishes research inAdvanced Malware Detection Techniques Distributed systems and fault tolerance IoT and Edge/Fog Computing Parallel Computing and Optimization Techniques Advanced Database Systems and Queries
ISSN0360-0300
Citation impact (2-yr)20.85
h-index327
i10-index2,643
Top institutions publishing hereCarnegie Mellon University
Journal websitecsur.acm.org
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in ACM Computing Surveys per year

64
2014
83
2015
100
2016
107
2017
120
2018
163
2019
139
2020
224
2021
285
2022
242
2023
292
2024
399
2025

Citation impact of ACM Computing Surveys by publication year

15.3K
2014
13.1K
2015
11.5K
2016
17K
2017
20K
2018
20.6K
2019
16.2K
2020
30K
2021
39.4K
2022
18.1K
2023
11.5K
2024
5K
2025

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

Most-cited papers in ACM Computing Surveys

Data clustering

Anil K. Jain, M. Narasimha Murty, Patrick J. Flynn · 1 Sep 1999

Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and…

13,217 citations Cite SaveGo to paper →
Anomaly detection

Varun Chandola, Arindam Banerjee, Vipin Kumar · 1 Jul 2009

Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are more generic. This survey tries to provide a structured and comprehensive overview of the research on anomaly detection. We have grouped existing techniques…

11,244 citations Cite SaveGo to paper →
Machine learning in automated text categorization

Fabrizio Sebastiani · 1 Mar 2002

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on machine learning techniques: a general…

7,918 citations Cite SaveGo to paper →
Face recognition

Wenyi Zhao, Rama Chellappa, P. Jonathon Phillips et al. · 1 Dec 2003

As one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past several years. At least two reasons account for this trend: the first is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies after…

6,174 citations Cite SaveGo to paper →

ACM Computing Surveys template — frequently asked questions

How do I write a paper in the ACM Computing Surveys format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the ACM Computing Surveys 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 Computing Surveys use?
ACM Computing Surveys 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 Computing Surveys 12, 3, Article 45 (2023).
Do I need to know LaTeX to submit to ACM Computing Surveys?
No. DocuGuru generates the acmart LaTeX class and compiles the PDF for you in the background, so you get a ACM-ready ACM Computing Surveys 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 Computing Surveys template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the ACM Computing Surveys format with correct headings, figures, tables, and numbered citations.
What is ACM Computing Surveys?
ACM Computing Surveys (CSUR). It is a engineering and computer science journal, published by ACM.
Can I export a submission-ready ACM Computing Surveys PDF?
Yes — DocuGuru produces a PDF built with the official ACM Computing Surveys template (the acmart class) that is ready to submit to ACM, together with the matching LaTeX source files.
How much does the ACM Computing Surveys template cost?
You can start writing in the ACM Computing Surveys template for free. Exporting the final submission-ready ACM Computing Surveys PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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