World's Best Scientists 2026 revealed!
Intelligent Data Analysis
H-index 8

Intelligent Data Analysis

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 649 52 56 8

Additional Metrics

Number of Best Scientists*: 76
Documents by Best Scientists*: 82
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 55
SCIMAGO SJR: 0.286
Impact Factor: N/A

Overview

Top Research Topics at Intelligent Data Analysis?

The journal mainly deals with areas of study such as Computer graphics (images) and Volume (compression).

  • Computer graphics (images) (100.00%)
  • Volume (compression) (100.00%)

Papers citation over time

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The top authors publishing in Intelligent Data Analysis (based on the number of publications) are:

  • Fazel Famili (1 papers) published 1 paper 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

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Publication chance based on affiliation

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Returning Authors Index

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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).

Career Opportunities in Data Analysis

Beyond the academic discussion on Intelligent Data Analysis and its trending topics, it's crucial to understand the concrete career opportunities that this field can offer. One of the roles that has been on the rise in recent years is that of a preschool teacher assistant. This role could involve the utilization of data analysis skills to help improve educational methods and processes in early childhood education.

For instance, preschool teacher assistants could use data analysis to assess the efficiency of certain teaching methods or to identify patterns in children's behavior and learning capabilities. This valuable information can then be used to make strategic decisions in classrooms or at an institutional level to enhance the quality of education being provided.

However, landing roles such as a preschool teacher assistant requires more than just an understanding and interest in data analysis. Most roles have specific set of requirements that aspirants must meet. If you're interested in learning more about how to become a preschool teacher assistant in Tennessee, you can check out the preschool teacher assistant requirements in Tennessee here. This will give you a good understanding of the qualifications you'd need to prepare for a career in this interesting intersection of education and data analysis.

Top Publications

  • An efficient and robust bat algorithm with fusion of opposition-based learning and whale optimization algorithm

    (2020)
    53 Citations
  • An improved opposition based learning firefly algorithm with dragonfly algorithm for solving continuous optimization problems

    Mehdi Abedi;Farhad Soleimanian Gharehchopogh

    (2020)
    44 Citations
  • RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding

    (2020)
    15 Citations
  • Hybrid recommendation model based on deep learning and Stacking integration strategy

    (2020)
    13 Citations
  • Multi-fuzzy-constrained graph pattern matching with big graph data.

    Guliu Liu;Lei Li;Xindong Wu

    (2020)
    11 Citations
  • DNN models based on dimensionality reduction for stock trading

    Dongdong Lv;Dong Wang;Meizi Li;Yang Xiang

    (2020)
    10 Citations
  • Multi-task prediction model based on ConvLSTM and encoder-decoder

    (2021)
    10 Citations
  • Boosting meta-learning with simulated data complexity measures

    Luís P.F. Garcia;Adriano Rivolli;Edesio Alcoba;Ana C. Lorena

    (2020)
    8 Citations
  • A study on rare fraud predictions with big Medicare claims fraud data

    Richard A. Bauder;Taghi M. Khoshgoftaar

    (2020)
    8 Citations
  • Estimating a one-class naive Bayes text classifier

    Yihong Zhang;Adam Jatowt

    (2020)
    8 Citations

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Best Scientists Contributing to This Journal