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Ain Shams Engineering Journal
H-index 51

Ain Shams Engineering Journal

2090-4479

Published by: Ain Shams University

https://www.journals.elsevier.com/ain-shams-engineering-journal

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 149 82 146 37

Additional Metrics

Number of Best Scientists*: 248
Documents by Best Scientists*: 388
Top 100 Ranked Scientists*: 15
SCIMAGO H-index: 86
SCIMAGO SJR: 1.076
Impact Factor: 5.9

Overview

Top Research Topics at Ain Shams Engineering Journal?

Ain Shams Engineering Journal facilitates discussions on Mechanics, Control theory, Mathematical analysis, Nonlinear system and Geotechnical engineering. In addition to Mechanics research, the journal aims to explore topics under Classical mechanics and Thermodynamics. The concepts on Control theory presented in the journal can also apply to other research fields, including Power (physics), Electric power system and Voltage.

The Heat transfer study tackling the subject of Nanofluid is the focus of the journal.

  • Mechanics (13.88%)
  • Control theory (11.48%)
  • Mathematical analysis (8.45%)

What are the most cited papers published in the journal?

  • Sentiment analysis algorithms and applications: A survey (1166 citations)
  • Enhancing the performance of photovoltaic panels by water cooling (252 citations)
  • Design and analysis of differential evolution algorithm based automatic generation control for interconnected power system (196 citations)

Research areas of the most cited articles at Ain Shams Engineering Journal:

The journal articles mainly tackle studies in Mechanics, Control theory, Thermodynamics, Boundary layer and Heat transfer. The journal publications facilitate discussions on Mechanics that incorporate concepts from other fields like Partial differential equation, Classical mechanics and Ordinary differential equation. While Control theory is the focus of the most cited publications, it also provides insights into the studies of Control engineering, Electric power system and Voltage.

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

  • Artificial intelligence
  • Composite material
  • Mechanical engineering

The previous edition focused in particular on these issues:

Ain Shams Engineering Journal mainly deals with areas of study such as Mechanics, Control theory, Composite material, Power (physics) and Nanofluid. Heat transfer, Nusselt number, Flow (mathematics), Flow (psychology) and Boundary layer are among the areas of Mechanics tackled. While work presented in it provided substantial information on Control theory, it also covered topics in Photovoltaic system, Electric power system and Voltage.

It facilitated presentations on Composite material research, particularly Compressive strength and Ultimate tensile strength.

The most cited articles from the last journal are:

  • Recent studies on applications of aquatic weed plants in phytoremediation of wastewater: A review article (26 citations)
  • Properties of slag based geopolymer reactive powder concrete (18 citations)
  • A novel hybrid GWO-PSO optimization technique for optimal reactive power dispatch problem solution (18 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 Ain Shams Engineering Journal (based on the number of publications) are:

  • Hany M. Hasanien (16 papers) published 12 papers at the last edition, 11 more than at the previous edition,
  • Salem Alkhalaf (11 papers) published 5 papers at the last edition the same number as at the previous edition,
  • Laila M. Khodeir (10 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Mohamed Kohail (9 papers) published 9 papers at the last edition,
  • Ahmed El-Shafie (9 papers) published 9 papers 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 Ain Shams Engineering Journal (based on the number of publications) are:

  • Ain Shams University (176 papers) published 71 papers at the last edition, 58 more than at the previous edition,
  • VIT University (63 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Islamic Azad University (53 papers) published 12 papers at the last edition, 5 more than at the previous edition,
  • Cairo University (47 papers) published 13 papers at the last edition, 6 more than at the previous edition,
  • Mansoura University (37 papers) published 9 papers at the last edition, 5 more 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, 7.04% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.96% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.36% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.49% of all publications and 35.19% 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

  • Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

    Ahmedbahaaaldin Ibrahem Ahmed Osman;Ali Najah Ahmed;Ming Fai Chow;Yuk Feng Huang

    (2021)
    483 Citations
  • Additive manufacturing in the aerospace and automotive industries: Recent trends and role in achieving sustainable development goals

    Unknown

    (2023)
    279 Citations
  • A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations

    Unknown

    (2022)
    273 Citations
  • Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia

    Wanie M. Ridwan;Michelle Sapitang;Awatif Aziz;Khairul Faizal Kushiar

    (2021)
    235 Citations
  • A review on alkali-activated slag concrete

    Ismail Amer;Mohamed Kohail;M.S. El-Feky;Ahmed Rashad

    (2021)
    205 Citations
  • Optimal design of automatic voltage regulation controller using hybrid simulated annealing – Manta ray foraging optimization algorithm

    Mihailo Micev;Martin Ćalasan;Ziad M. Ali;Ziad M. Ali;Hany M. Hasanien

    (2021)
    137 Citations
  • Investigating the engineering properties of asphalt binder modified with waste plastic polymer

    Nuha S. Mashaan;Amin Chegenizadeh;Hamid Nikraz;Alireza Rezagholilou

    (2021)
    110 Citations
  • Exploring the potential of coconut shell biomass for charcoal production

    Rabi Kabir Ahmad;Rabi Kabir Ahmad;Shaharin Anwar Sulaiman;Suzana Yusup;Sharul Sham Dol

    (2021)
    101 Citations
  • Marangoni convective flow of hybrid nanofluid (MnZnFe2O4-NiZnFe2O4-H2O) with Darcy Forchheimer medium

    M. Ijaz Khan;Sumaira Qayyum;Faisal Shah;R. Naveen Kumar

    (2021)
    85 Citations
  • Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models

    (2022)
    82 Citations

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