World's Best Scientists 2026 revealed!
Applied Intelligence
H-index 49

Applied Intelligence

0924-669X

Published by: Springer

https://www.springer.com/journal/10489

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 79 521 805 47

Additional Metrics

Number of Best Scientists*: 722
Documents by Best Scientists*: 1008
Top 100 Ranked Scientists*: 24
SCIMAGO H-index: 108
SCIMAGO SJR: 0.932
Impact Factor: 3.5

Overview

Top Research Topics at Applied Intelligence?

The topics of Artificial intelligence, Pattern recognition, Machine learning, Data mining and Algorithm are the focal point of discussions in the journal. The journal explores research in Artificial intelligence and the adjacent study of Computer vision. The presentations discussing Pattern recognition offer insights in topics such as Support vector machine, Feature selection, Feature extraction and Classifier (UML).

The studies in Data mining featured incorporate elements of Fuzzy logic and Cluster analysis. The journal holds forums on Algorithm that merges themes from other disciplines such as Set (abstract data type) and Benchmark (computing).

  • Artificial intelligence (47.15%)
  • Pattern recognition (17.19%)
  • Machine learning (16.36%)

What are the most cited papers published in the journal?

  • Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF (527 citations)
  • Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows (374 citations)
  • How effective is the Grey Wolf optimizer in training multi-layer perceptrons (347 citations)

Research areas of the most cited articles at Applied Intelligence:

The published papers investigate studies in Artificial intelligence, Data mining, Machine learning, Pattern recognition and Algorithm. The published articles dive deep in exploring the relationship between the study of Artificial intelligence and Genetic algorithm. The journal papers deal with Data mining in conjunction with Set (abstract data type) and similar fields in Benchmark (computing).

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

  • Artificial intelligence
  • Machine learning
  • Operating system

The previous edition focused in particular on these issues:

The scientific interests tackled in the journal are Artificial intelligence, Pattern recognition, Algorithm, Machine learning and Deep learning. The study on Artificial intelligence presented in the journal intersects with subjects under the field of Computer vision. It links adjacent topics like Pattern recognition with Image (mathematics).

Most of the works presented in it deals with Convolutional neural network but it intersects with the subject of Convolution. The Benchmark (computing) study featured in it draws connections with the study of Optimization problem.

The most cited articles from the last journal are:

  • Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network (207 citations)
  • COVID-19 open source data sets: a comprehensive survey (65 citations)
  • Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices (63 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 Applied Intelligence (based on the number of publications) are:

  • Philippe Fournier-Viger (20 papers) published 9 papers at the last edition,
  • Mohammad Reza Meybodi (17 papers) published 1 paper at the last edition,
  • Tzung-Pei Hong (17 papers) published 2 papers at the last edition,
  • Yong Deng (16 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Jerry Chun-Wei Lin (16 papers) published 7 papers at the last edition, 3 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 Applied Intelligence (based on the number of publications) are:

  • Islamic Azad University (42 papers) published 13 papers at the last edition, 11 more than at the previous edition,
  • Shandong Normal University (40 papers) published 11 papers at the last edition, 3 more than at the previous edition,
  • Sichuan University (38 papers) published 19 papers at the last edition, 15 more than at the previous edition,
  • Harbin Institute of Technology (37 papers) published 22 papers at the last edition, 18 more than at the previous edition,
  • Chinese Academy of Sciences (33 papers) published 20 papers at the last edition, 12 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, 7.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.51% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.66% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.01% of all publications and 59.81% 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 Applied Intelligence

While research and journal forums can be interesting and informative, they can also pave the way to several exciting career opportunities in the field of Applied Intelligence. For those who are captivated by topics such as Artificial Intelligence, Machine Learning, Pattern Recognition, and others discussed in the journal, there are a range of options waiting in the professional world. These could be roles in academia, continuing the upward trajectory in research and contributing to the valuable insights we discussed in this journal. Alternatively, positions in the burgeoning tech industry, with corporations and startups alike seeking knowledgeable individuals to contribute to real-world applications of these theoretical concepts. For those who are starting their journey in Applied Intelligence, it can be helpful to have a solid foundation and credentials. One potential pathway is to obtain a teaching credential, which can offer experience in the field while facilitating valuable skills for the future. The state of Wyoming, for example, offers cost-effective routes to a teaching credential. You can learn more about these cost effective options for getting a teaching credential programs in Wyoming. Always remember, the application of knowledge studied in journals, such as Applied Intelligence, can lead to a rewarding career with lasting impact.

Top Publications

  • Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network.

    Asmaa Abbas;Mohammed M. Abdelsamea;Mohammed M. Abdelsamea;Mohamed Medhat Gaber

    (2021)
    1034 Citations
  • Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems

    Fatma A. Hashim;Kashif Hussain;Essam H. Houssein;Mai S. Mabrouk

    (2021)
    1026 Citations
  • Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

    Sakshi Ahuja;Bijaya Ketan Panigrahi;Nilanjan Dey;Venkatesan Rajinikanth

    (2021)
    333 Citations
  • Deep learning in multi-object detection and tracking: state of the art

    Sankar K. Pal;Anima Pramanik;Jhareswar Maiti;Pabitra Mitra

    (2021)
    271 Citations
  • Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays

    Himadri Mukherjee;Subhankar Ghosh;Ankita Dhar;Sk Md Obaidullah

    (2021)
    180 Citations
  • Image super-resolution reconstruction based on feature map attention mechanism

    (2021)
    180 Citations
  • OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19

    (2020)
    158 Citations
  • Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature review

    (2022)
    156 Citations
  • The geometry of three-way decision

    Yiyu Yao

    (2021)
    150 Citations
  • A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

    Iván Palomares;Iván Palomares;Eugenio Martínez-Cámara;Rosana Montes;Pablo García-Moral

    (2021)
    141 Citations

Related Online Degrees & Career Pathways

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Choosing the right institution is crucial. Many students opt for best online schools to ensure their education is reputable and recognized by employers. Accreditation impacts financial aid opportunities and the transferability of credits, making it a critical consideration.

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