World's Best Scientists 2026 revealed!
Engineering with Computers
H-index 70

Engineering with Computers

0177-0667

Published by: Springer

https://www.springer.com/journal/366

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 33 99 226 40
Engineering and Technology 43 104 272 60

Additional Metrics

Number of Best Scientists*: 318
Documents by Best Scientists*: 600
Top 100 Ranked Scientists*: 13
SCIMAGO H-index: 93
SCIMAGO SJR: 1.11
Impact Factor: 4.9

Overview

Top Research Topics at Engineering With Computers?

The journal investigates studies in Algorithm, Mathematical optimization, Finite element method, Applied mathematics and Polygon mesh. The concepts on Algorithm presented in the journal can also apply to other research fields, including Mean squared error and Artificial neural network. The research on Mean squared error discussed in the journal draws on the closely related field of Coefficient of determination.

Engineering With Computers focused on Mathematical optimization research but expanded to cover Benchmark (computing). It encompasses Finite element method studies in the context of Structural engineering as a whole. Applied mathematics research presented in the journal encompasses a variety of subjects, including Discretization, Numerical analysis and Nonlinear system.

Some problems in Polygon mesh that were presented in the journal overlapped with concepts under Mesh generation, Volume mesh, Hexahedron and Computational science. The work on Mesh generation addressed in the journal expands to the thematically related Boundary (topology).

  • Algorithm (18.84%)
  • Mathematical optimization (14.07%)
  • Finite element method (13.77%)

What are the most cited papers published in the journal?

  • Metamodels for Computer-Based Engineering Design: Survey and Recommendations (1463 citations)
  • Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (1110 citations)
  • libMesh: a C++ library for parallel adaptive mesh refinement/coarsening simulations (540 citations)

Research areas of the most cited articles at Engineering With Computers:

The most cited articles investigate areas of study like Algorithm, Artificial neural network, Mathematical optimization, Mean squared error and Finite element method. The published papers explore research in Algorithm alongside concepts in Mesh generation and other areas of study in Hexahedron, Geometry and Tetrahedron. The journal papers address concerns in Finite element method which are intertwined with other disciplines, such as Polygon mesh, Data structure, Engineering drawing and Computational science.

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

  • Artificial intelligence
  • Algorithm
  • Operating system

The previous edition focused in particular on these issues:

The journal primarily focuses on research topics in Algorithm, Applied mathematics, Nonlinear system, Mathematical optimization and Boundary value problem. The research on Algorithm featured in Engineering With Computers combines topics in other fields like Artificial neural network and Genetic algorithm. Engineering With Computers deals with Artificial neural network in conjunction with Mean squared error and similar fields in Support vector machine.

While Nonlinear system is the key highlight in the journal, it also covered some subjects on Mechanics and Viscoelasticity and Material properties. The presented Mathematical optimization research focuses mostly on Benchmark (computing) and, on occasion, topics in Local optimum and Engineering design process. The tackled Boundary value problem research is interrelated with Vibration which concerns subjects like Structural engineering.

The most cited articles from the last journal are:

  • Boosted binary Harris hawks optimizer and feature selection (109 citations)
  • ESA: a hybrid bio-inspired metaheuristic optimization approach for engineering problems (64 citations)
  • Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns (64 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 Engineering With Computers (based on the number of publications) are:

  • Danial Jahed Armaghani (47 papers) published 16 papers at the last edition, 5 more than at the previous edition,
  • Mahdi Hasanipanah (37 papers) published 12 papers at the last edition, 4 more than at the previous edition,
  • Mark S. Shephard (34 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Hossein Moayedi (31 papers) published 19 papers at the last edition, 9 more than at the previous edition,
  • Mehdi Dehghan (30 papers) published 11 papers at the last edition, 4 more than at the previous 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 Engineering With Computers (based on the number of publications) are:

  • Duy Tan University (118 papers) published 65 papers at the last edition, 16 more than at the previous edition,
  • Ton Duc Thang University (90 papers) published 53 papers at the last edition, 19 more than at the previous edition,
  • Islamic Azad University (80 papers) published 21 papers at the last edition, 8 more than at the previous edition,
  • Amirkabir University of Technology (63 papers) published 19 papers at the last edition, 3 more than at the previous edition,
  • Universiti Teknologi Malaysia (59 papers) published 16 papers at the last edition, 1 less than at the previous 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, 2.48% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.70% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.63% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.83% of all publications and 43.84% 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.

Top Publications

  • Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

    Yingui Qiu;Jian Zhou;Manoj Khandelwal;Haitao Yang

    (2021)
    448 Citations
  • A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

    Mahdi Shariati;Mohammad Saeed Mafipour;Behzad Ghahremani;Fazel Azarhomayun

    (2020)
    352 Citations
  • A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

    Jin Duan;Panagiotis G. Asteris;Hoang Nguyen;Xuan-Nam Bui

    (2021)
    323 Citations
  • Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

    Payam Sarir;Jun Chen;Panagiotis G. Asteris;Danial Jahed Armaghani

    (2021)
    267 Citations
  • Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures

    Javad Katebi;Mona Shoaei-parchin;Mahdi Shariati;Nguyen Thoi Trung

    (2020)
    226 Citations
  • A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques

    Mahdi Shariati;Mohammad Saeed Mafipour;Peyman Mehrabi;Ali Shariati

    (2021)
    201 Citations
  • Free vibration and buckling analyses of CNT reinforced laminated non-rectangular plates by discrete singular convolution method

    Ömer Civalek;Mehmet Avcar

    (2020)
    196 Citations

Related Online Degrees & Career Pathways

For those interested in advancing their studies in Computer Science, online education offers flexible and accessible options. Many students seek the what is the easiest masters degree to balance workloads while gaining valuable skills. Online programs in this field often provide practical training without overwhelming academic pressure.

Those aiming for the highest level of education can explore the cheapest doctorate degree options online. These programs provide an affordable pathway to deep expertise, opening doors to research and leadership roles in tech industries.

Financial aid opportunities can make online learning more accessible. Many institutions offer online college courses with financial aid, helping students reduce costs while earning reputable degrees or certificates.

For professionals seeking specialized skills or career changes, online courses with certificates provide recognized credentials that often lead to higher-paying jobs. These certifications cover a broad range of tech-related topics and are frequently updated to match industry demands.

Best Scientists Contributing to This Journal