World's Best Scientists 2026 revealed!
Information Technology and Control
H-index 8

Information Technology and Control

1392-124X

Published by: Kaunas University of Technology

http://itc.ktu.lt/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 727 13 14 7

Additional Metrics

Number of Best Scientists*: 21
Documents by Best Scientists*: 23
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 24
SCIMAGO SJR: 0.486
Impact Factor: 1.9

Overview

Top Research Topics at Information Technology and Control?

The primary areas of discussion in Information Technology and Control are Artificial intelligence, Algorithm, Control theory, Mathematical optimization and Data mining. The work on Artificial intelligence tackled in Information Technology and Control brings together disciplines like Natural language processing, Machine learning, Computer vision and Pattern recognition. Control theory studies presented include Control theory, Nonlinear system and Control system.

Information Technology and Control facilitated presentations on Mathematical optimization research, particularly Quadratic assignment problem and Tabu search.

  • Artificial intelligence (16.57%)
  • Algorithm (12.85%)
  • Control theory (10.43%)

What are the most cited papers published in the journal?

  • A SURVEY OF GENETIC ALGORITHMS APPLICATIONS FOR IMAGE ENHANCEMENT AND SEGMENTATION (146 citations)
  • TRANSFORMING ONTOLOGY REPRESENTATION FROM OWL TO RELATIONAL DATABASE (86 citations)
  • MULTICRITERIA EVALUATION OF INNER CLIMATE BY USING MOORA METHOD (76 citations)

Research areas of the most cited articles at Information Technology and Control:

The journal papers investigate studies in Artificial intelligence, Mathematical optimization, Mathematical analysis, Ontology (information science) and Pattern recognition. The study on Artificial intelligence presented in the journal publications is investigated in conjunction with research in Computer vision. The most cited papers address concerns in Mathematical optimization which are intertwined with other disciplines, such as Rate-monotonic scheduling, Genetic programming and Benchmark data.

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

  • Artificial intelligence
  • Programming language
  • Statistics

The previous edition focused in particular on these issues:

The objective of the journal is to combine knowledge in the areas of Artificial intelligence, Pattern recognition, Data mining, Algorithm and Key (cryptography). The study on Artificial intelligence presented in the journal intersects with the topics under Machine learning. It focuses on Pattern recognition but the discussions also offer insight into other areas such as Image (mathematics), Robustness (computer science) and Compressed sensing.

The studies in Data mining featured incorporate elements of Analytic hierarchy process, Empirical research, Requirement prioritization, Software product line and Data set. The study of Algorithm encompasses disciplines such as Artificial neural network, as well as fields such as Process (computing), Generative adversarial network, Multivariate random variable and Signal generator, all of which overlap with one another. The research on Key (cryptography) featured in it combines topics in other fields like Eavesdropping, Cryptanalysis, Cryptography, Time complexity and Cloud computing security.

The most cited articles from the last journal are:

  • Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices (4 citations)
  • EECCRN: Energy Enhancement with CSS Approach Using Q-Learning and Coalition Game Modelling in CRN (3 citations)
  • An Efficient Technique for Disease Prediction by Using Enhanced Machine Learning Algorithms for Categorical Medical Dataset (3 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 Information Technology and Control (based on the number of publications) are:

  • Vacius Jusas (19 papers) absent at the last edition,
  • Eduardas Bareiša (18 papers) absent at the last edition,
  • Kęstutis Motiejūnas (16 papers) absent at the last edition,
  • Alfonsas Misevičius (15 papers) absent at the last edition,
  • Rimantas Šeinauskas (14 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 Information Technology and Control (based on the number of publications) are:

  • Kaunas University of Technology (123 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Vilnius Gediminas Technical University (23 papers) absent at the last edition,
  • Vytautas Magnus University (16 papers) absent at the last edition,
  • Vilnius University (12 papers) absent at the last edition,
  • University of Niš (9 papers) published 1 paper at the last edition the same number as 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, 25.64% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.79% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.34% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.69% of all publications and 55.17% 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 Prospects in Information Technology: Becoming an Art Teacher

At first glance, art and information technology may seem like entirely different disciplines. However, these fields can overlap in surprising and exciting ways. For instance, those with a background in both art and technology may find a rewarding career as an art teacher specializing in digital art or graphical design. Texas, in particular, offers various opportunities to pursue such careers. To become an art teacher in Texas, one needs to meet specific requirements, including a university degree in Art or a related field, along with specific training and certifications in Information Technology. An art teacher with a background in Information Technology can inspire students to bridge the gap between science and art, introducing them to a vast new world of possibilities in the creative industry. Texas has a growing digital art scene and a pressing need for educators who can teach the next generation of artists to use powerful IT tools to create their masterpieces. For those with a passion for both art and technology, becoming an art teacher in Texas is an excellent pathway to combine their skills and passions in a rewarding career. For more specific information on how to pursue this career path, you can find the detailed art teacher requirements in Texas on our website. The link provides an overview of the qualifications, certifications, and other requirements needed to guide aspiring art teachers in Texas on their professional journey. This career path showcases how knowledge and skills in Information Technology can open doors to various career possibilities. This intersection of disciplines fosters innovation and creativity, reinforcing the multitude of opportunities available within the field of Information Technology.

Top Publications

  • Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices

    Venkatesan Rajinikanth;Seifedine Nimer Kadry;Yunyoung Nam

    (2021)
    81 Citations
  • A Fuzzy Logic Path Planning Algorithm Based on Geometric Landmarks and Kinetic Constraints

    (2022)
    26 Citations
  • Deep Learning based Semantic Similarity Detection using Text Data

    Muhammad Mansoor;Zahoor ur Rehman;Muhammad Shaheen;Muhammad Attique Khan

    (2020)
    20 Citations
  • Automatic Text Summarization Using Deep Reinforcement Learning and Beyond

    (2021)
    14 Citations
  • Dynamic Scheduling Algorithm for Delay-Sensitive Vehicular Safety Applications in Cellular Network

    Qiong Wu;Xiumei Fan;Wei Wei;Marcin Wozniak

    (2020)
    11 Citations
  • Recognition of Human Inner Emotion Based on Two-Stage FCA-ReliefF Feature Optimization

    (2022)
    11 Citations
  • Reliable Multipath Flow for Link Failure Recovery in 5G Networks Using SDN Paradigm

    (2022)
    7 Citations
  • Text Document Clustering Approach by Improved Sine Cosine Algorithm

    (2023)
    5 Citations
  • Analysis of Cryptography Algorithms Implemented in Android Mobile Application

    (2021)
    4 Citations
  • Texture Image Analysis for Larger Lattice Structure using Orthogonal Polynomial framework

    (2022)
    4 Citations

Related Online Degrees & Career Pathways

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Ultimately, pursuing one of the best degree in the world in fields like Computer Science can lead to high-paying and in-demand careers, making these online education routes both practical and rewarding for aspiring technology professionals.

Best Scientists Contributing to This Journal