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ACM Transactions on Modeling and Computer Simulation
H-index 6

ACM Transactions on Modeling and Computer Simulation

1049-3301

Published by: ACM

https://dl.acm.org/journal/tomacs

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 752 26 30 6

Additional Metrics

Number of Best Scientists*: 32
Documents by Best Scientists*: 35
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 58
SCIMAGO SJR: 0.345
Impact Factor: 1.9

Overview

Top Research Topics at ACM Transactions on Modeling and Computer Simulation?

The journal explores disciplines such as Mathematical optimization, Algorithm, Distributed computing, Estimator and Discrete event simulation. While Mathematical optimization is the focus of ACM Transactions on Modeling and Computer Simulation, it also provided insights into the studies of Variance reduction, Monte Carlo method, Importance sampling, Applied mathematics and Stochastic simulation. The concepts on Distributed computing presented in it can also apply to other research fields, including Scalability, Real-time computing and Computation.

The presentations focused mostly on Estimator in an attempt to further explore topics in Statistics. Discrete event simulation and Parallel computing are closely related fields of research discussed in it. The works on Parallel computing deal in particular with Speedup.

  • Mathematical optimization (20.83%)
  • Algorithm (16.06%)
  • Distributed computing (15.74%)

What are the most cited papers published in the journal?

  • Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator (4655 citations)
  • Experiences creating three implementations of the repast agent modeling toolkit (605 citations)
  • Fast simulation of rare events in queueing and reliability models (491 citations)

Research areas of the most cited articles at ACM Transactions on Modeling and Computer Simulation:

The most cited papers are mainly concerned with subjects like Mathematical optimization, Algorithm, Distributed computing, Discrete mathematics and Parallel computing. The works on Mathematical optimization tackled in the most cited articles bring together disciplines like Convergence (routing), Estimator and Importance sampling. The journal papers with studies in Discrete mathematics featured incorporate elements of Computational complexity theory, Halton sequence, Pseudorandom number generator and Combinatorics.

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

  • Statistics
  • Operating system
  • Artificial intelligence

The previous edition focused in particular on these issues:

ACM Transactions on Modeling and Computer Simulation investigates areas of study like Focus (computing), Distributed computing, Selection (genetic algorithm), Electronic engineering and System-level simulation. While ACM Transactions on Modeling and Computer Simulation focused on Electronic engineering, it was also able to explore topics like Open source, Networks on chip and Power performance.

The most cited articles from the last journal are:

  • Ratatoskr: An Open-Source Framework for In-Depth Power, Performance, and Area Analysis and Optimization in 3D NoCs (1 citations)
  • Reflective Nested Simulations Supporting Optimizations within Sequential Railway Traffic Simulators (0 citations)
  • Uncertainty on Discrete-Event System Simulation (0 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 Transactions on Modeling and Computer Simulation (based on the number of publications) are:

  • Peter W. Glynn (16 papers) absent at the last edition,
  • Barry L. Nelson (15 papers) absent at the last edition,
  • Pierre L'Ecuyer (12 papers) absent at the last edition,
  • Wentong Cai (12 papers) absent at the last edition,
  • Shane G. Henderson (11 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 Transactions on Modeling and Computer Simulation (based on the number of publications) are:

  • Georgia Institute of Technology (35 papers) absent at the last edition,
  • IBM (25 papers) absent at the last edition,
  • Stanford University (22 papers) absent at the last edition,
  • Northwestern University (18 papers) absent at the last edition,
  • Cornell University (16 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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 33.33% of all publications and 66.67% 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 Opportunities in Fields of ACM Transactions on Modeling and Computer Simulation

For those intrigued by the topics discussed in the ACM Transactions on Modeling and Computer Simulation journal, it could lead to a fulfilling career in these specialized fields. Various roles in companies and academic institutions open up for professionals well-versed in this broad spectrum of subjects. For instance, Mathematical Optimization, Algorithms, or Distributed Computing skills can lead to positions such as Data Analyst, Data Scientist, Network Administrator, or even a Computational Scientist in research-focused companies. A deep interest and understanding of such topics often come from a passion for learning and knowledge enhancement, indicating possible success in academia, which includes a career as a lecturer or a researcher. While it's always advisable to continue advancing your career through continuous learning, individuals might be concerned about the associated costs. However, for those interested in an academic career, there are affordable paths to earning teaching credentials. One such path is earning a teaching certificate in Nebraska, presenting a cost-effective solution. It’s also crucial to imbibe the qualities of a dedicated educator, including being patient, knowledgeable, engaging, and having a passion for making a difference in students' lives. Keep up to date with new articles in the ACM Transactions on Modeling and Computer Simulation journal to stay ahead in this fast-paced, ever-evolving field. The journal provides invaluable insights and research on various subjects that could be extremely beneficial for those interested in a career in these exciting areas.

Top Publications

  • Data-driven Crowd Modeling Techniques: A Survey

    (2022)
    24 Citations
  • Doping Tests for Cyber-physical Systems

    Sebastian Biewer;Pedro R. D’argenio;Holger Hermanns

    (2021)
    16 Citations
  • Bayesian Optimisation vs. Input Uncertainty Reduction

    (2022)
    10 Citations
  • A Modest Approach to Markov Automata

    Yuliya Butkova;Arnd Hartmanns;Holger Hermanns

    (2021)
    7 Citations
  • Transfer Reinforcement Learning for Autonomous Driving: From W ise M ove to W ise S im

    Aravind Balakrishnan;Jaeyoung Lee;Ashish Gaurav;Krzysztof Czarnecki

    (2021)
    7 Citations
  • Fidelity and Performance of State Fast-forwarding in Microscopic Traffic Simulations

    Philipp Andelfinger;Yadong Xu;David Eckhoff;Wentong Cai

    (2020)
    6 Citations
  • Hierarchical Gaussian Process Models for Improved Metamodeling

    Nicolas Knudde;Vincent Dutordoir;Joachim Van Der Herten;Ivo Couckuyt

    (2020)
    6 Citations
  • A Hierarchical Decision-Making Framework in Social Networks for Efficient Disaster Management

    (2022)
    5 Citations
  • Uncertainty-aware Simulation of Adaptive Systems

    (2023)
    5 Citations
  • Fixed-Confidence, Fixed-Tolerance Guarantees for Ranking-and-Selection Procedures

    David J. Eckman;Shane G. Henderson

    (2021)
    5 Citations

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Best Scientists Contributing to This Journal

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