World's Best Scientists 2026 revealed!
Queue
H-index 8

Queue

1542-7730

Published by: ACM

https://queue.acm.org/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 660 29 31 8

Additional Metrics

Number of Best Scientists*: 31
Documents by Best Scientists*: 32
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 51
SCIMAGO SJR: 0.859
Impact Factor: N/A

Overview

Top Research Topics at ACM Queue?

ACM Queue tackles a plethora of topics, such as Computer security, Software, World Wide Web, Software engineering and Operating system. The work on Computer security tackled in it brings together disciplines like The Internet and Internet privacy. Most of the Software engineering studies addressed also intersect with Software development.

  • Computer security (18.80%)
  • Software (15.75%)
  • World Wide Web (12.62%)

What are the most cited papers published in the journal?

  • Scalable Parallel Programming with CUDA: Is CUDA the parallel programming model that application developers have been waiting for? (1054 citations)
  • Software and the Concurrency Revolution: Leveraging the full power of multicore processors demands new tools and new thinking from the software industry. (441 citations)
  • The Mythos of Model Interpretability: In machine learning, the concept of interpretability is both important and slippery. (326 citations)

Research areas of the most cited articles at ACM Queue:

The journal articles mostly deal with topics like Software, Computer security, Operating system, Embedded system and World Wide Web. Management system, Field (computer science), Human–computer interaction, Parallelism (grammar) and Container (abstract data type) are some topics wherein Software research discussed in the most cited articles has an impact. The journal articles explore Computer security concepts, specifically Radio-frequency identification but expand to research in Security testing.

What topics the last edition of the journal is best known for?

  • Law
  • Operating system
  • The Internet

The previous edition focused in particular on these issues:

The foci of the journal are Software, Software engineering, Programming language, Code (cryptography) and Human–computer interaction. The journal served as a forum through which researchers explored different topics like Software and Metric (mathematics). Software engineering research featured in ACM Queue incorporates concerns from various other topics such as Computer Aided Design, Static analysis and Point (typography).

Programming language research presented in it encompasses a variety of subjects, including Dependency (UML) and Unicode. The studies on Code (cryptography) discussed can also contribute to research in the domains of Agile software development, Schrödinger's cat, Undefined behavior and PATH (variable). Topics in Human–computer interaction explored in ACM Queue were investigated in conjunction with research in Structure (mathematical logic), Program behavior and Programmer.

The most cited articles from the last journal are:

  • The SPACE of Developer Productivity: There's more to it than you think. (4 citations)
  • Toward Confidential Cloud Computing: Extending hardware-enforced cryptographic protection to data while in use (2 citations)
  • A New Era for Mechanical CAD: Time to move forward from decades-old design (1 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in ACM Queue (based on the number of publications) are:

  • George V. Neville-Neil (128 papers) published 4 papers at the last edition, 2 less than at the previous edition,
  • Charlene O'Hanlon (44 papers) absent at the last edition,
  • Stan Kelly-Bootle (33 papers) absent at the last edition,
  • Edward Grossman (30 papers) absent at the last edition,
  • John Stanik (24 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in ACM Queue (based on the number of publications) are:

  • Google (45 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Microsoft (40 papers) published 2 papers at the last edition,
  • IBM (21 papers) absent at the last edition,
  • Salesforce.com (19 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Sun Microsystems (18 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 55.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 58.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 16.67% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Perspectives of ACM Queue Authors

Another important aspect of ACM Queue journal is to understand the career trajectories of its authors. In particular, considering how many authors leverage their publication experiences in ACM Queue towards academic careers or roles in the education industry can be incredibly informative. For example, some authors might choose to transition to teaching roles, where they can influence new generations of computer science and software engineers. If you're an ACM Queue author considering this route, navigating the steps needed to transition into education can feel overwhelming. For those interested in the U.S market, it's helpful to understand the specific requirements of the particular state you're interested in. For instance, if you're looking into job opportunities in the state of Kentucky, it's essential to comprehend what it takes to become a certified educator there. You may be wondering just how can you make this transition? Fret not, we have a detailed guide on our website that outlines these steps. To provide a concrete example, check out this guide on how to become a teacher in Kentucky with a master's degree. This could be a valuable roadmap for you if you aim to nurture the next generation with the knowledge and experiences you've gained from your research endeavors.

Top Publications

  • Interpretable Machine Learning

    Unknown

    (2021)
    519 Citations
  • Dark Patterns: Past, Present, and Future: The evolution of tricky user interfaces

    Arvind Narayanan;Arunesh Mathur;Marshini Chetty;Mihir Kshirsagar

    (2020)
    157 Citations
  • The SPACE of Developer Productivity: There's more to it than you think.

    Nicole Forsgren;Margaret-Anne Storey;Chandra Maddila;Thomas Zimmermann

    (2021)
    80 Citations
  • Taking Flight with Copilot

    (2022)
    76 Citations
  • Federated Learning and Privacy

    (2021)
    73 Citations
  • Toward Confidential Cloud Computing: Extending hardware-enforced cryptographic protection to data while in use

    Mark Russinovich;Manuel Costa;Cédric Fournet;David Chisnall

    (2021)
    14 Citations
  • The History, Status, and Future of FPGAs: Hitting a nerve with field-programmable gate arrays

    Oskar Mencer;Dennis Allison;Elad Blatt;Mark Cummings

    (2020)
    11 Citations
  • Why Should I Trust Your Code?

    (2023)
    10 Citations
  • Enclaves in the Clouds: Legal considerations and broader implications

    Jatinder Singh;Jennifer Cobbe;Do Le Quoc;Zahra Tarkhani

    (2020)
    8 Citations
  • Declarative Machine Learning Systems: The future of machine learning will depend on it being in the hands of the rest of us.

    Piero Molino;Christopher Ré

    (2021)
    7 Citations

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