World's Best Scientists 2026 revealed!
Computing and Informatics
H-index 7

Computing and Informatics

1335-9150

Published by: Slovak Academy of Sciences

http://www.cai.sk/ojs/index.php/cai/index

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 756 24 23 6

Additional Metrics

Number of Best Scientists*: 32
Documents by Best Scientists*: 30
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 33
SCIMAGO SJR: 0.33
Impact Factor: 1.7

Overview

Top Research Topics at Computing and Informatics / Computers and Artificial Intelligence?

The journal investigates areas of study like Artificial intelligence, Algorithm, Distributed computing, Theoretical computer science and Programming language. The main emphasis of the journal is the research on Artificial intelligence, emphasizing the topic of Artificial neural network.

  • Artificial intelligence (22.99%)
  • Algorithm (12.95%)
  • Distributed computing (9.39%)

What are the most cited papers published in the journal?

  • Artificial social systems (175 citations)
  • G-QOSM: Grid Service Discovery Using QoS Properties (162 citations)
  • Belief structures, possibility theory and decomposable confidence measures on finite sets (155 citations)

Research areas of the most cited articles at Computing and Informatics / Computers and Artificial Intelligence:

Artificial intelligence, Algorithm, Mathematical optimization, Programming language and Data mining are the main subjects of interest in the journal articles. While Artificial intelligence is the key highlight in the journal publications, thet also covered some subjects on Natural language processing and Meaning (linguistics). The published articles explore research in Mathematical optimization and the adjacent study of Benchmark (computing).

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

  • Artificial intelligence
  • Operating system
  • Programming language

The previous edition focused in particular on these issues:

Computing and Informatics / Computers and Artificial Intelligence explores disciplines such as Artificial intelligence, Theoretical computer science, Petri net, State (computer science) and Context (language use). It focuses on Artificial intelligence but the discussions also offer insight into other areas such as Point (geometry), Computer vision and Pattern recognition. The research on Theoretical computer science featured in it combines topics in other fields like Net (mathematics), Colored petri, Modeling language and State space.

State (computer science) research presented in it encompasses a variety of subjects, including Humanoid robot, Estimation theory, Human–computer interaction and Word error rate. The tackled Context (language use) research is interrelated with Biometrics which concerns subjects like Mobile device. The journal tackles studies in Enterprise information system and the interrelated subject of Data mining to gain insights into Event (computing).

The most cited articles from the last journal are:

  • Multi-Platform Intelligent System for Multimodal Human-Computer Interaction (1 citations)
  • Optimal Allocation of Charging Stations for Electric Vehicles Using Probabilistic Route Selection (0 citations)
  • Non-Redundant Implicational Base of Many-Valued Context Using SAT (0 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 Computing and Informatics / Computers and Artificial Intelligence (based on the number of publications) are:

  • Ladislav Hluchý (17 papers) absent at the last edition,
  • Jacek Kitowski (12 papers) absent at the last edition,
  • Ahmed M. Khedr (9 papers) absent at the last edition,
  • Mária Bieliková (9 papers) absent at the last edition,
  • Ephraim Nissan (8 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 Computing and Informatics / Computers and Artificial Intelligence (based on the number of publications) are:

  • AGH University of Science and Technology (32 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Slovak Academy of Sciences (29 papers) absent at the last edition,
  • Technical University of Košice (20 papers) absent at the last edition,
  • Slovak University of Technology in Bratislava (18 papers) absent at the last edition,
  • Comenius University in Bratislava (12 papers) absent at the last 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, 21.05% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 53.33% 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 Computing and Informatics / Computers and Artificial Intelligence

With the significant growth in the field of computing and informatics, a variety of career opportunities have opened up for those interested in working within this industry. Jobs in this field are not only limited to research and academia, but also extend to a range of sectors like technology, finance, healthcare, and telecommunications among others. Whether you’re interested in programming, data science, artificial intelligence, or network administration, you are bound to find a role that matches your skills and interests. For those with a passion for both art and technology, a career as an art teacher might be a rewarding choice. While you may not immediately think of art when considering a job in the tech sector, art and technology often intertwine, with digital media and graphic design forming key components of contemporary art education. Kentucky, for example, offers promising avenues for those interested in building a career at the intersection of these fields. Find out more about how to make a successful transition into this role by reading our guide on how to become an elementary art teacher in Kentucky. Similarly, those who are more mathematically inclined might find themselves drawn towards jobs like system analyst, applications developer or database administrator. This is a testament to the versatility and vast career prospects within the field of computing and informatics. The field is continuously growing and evolving. Hence, it’s advisable for aspiring professionals to keep themselves updated with current research in areas like artificial intelligence, algorithms, distributed computing, and theoretical computer sciences, among others, which are highlighted in our journal regularly. Through these studies, one could find leadings trends and subjects of focus, making it a valuable resource in targeting future career paths.

Top Publications

  • Increasing Text Filtering Accuracy with Improved LSTM

    Unknown

    (2023)
    129 Citations
  • Micro-Directional Propagation Method Based on User Clustering

    Unknown

    (2023)
    125 Citations
  • Breast Histopathology with High-Performance Computing and Deep Learning

    Mara Graziani;Ivan Eggel;François Deligand;Martin Bobák

    (2020)
    8 Citations
  • Big Data Analytics for Energy Consumption Prediction in Smart Grid Using Genetic Algorithm and Long Short Term Memory

    Sanju Kumari;Neeraj Kumar;Prashant Singh Rana

    (2021)
    7 Citations
  • Deep Convolution and Correlated Manifold Embedded Distribution Alignment for Forest Fire Smoke Prediction

    Yaoli Wang;Xiaohui Liu;Maozhen Li;Wenxia Di

    (2020)
    7 Citations
  • Unsupervised Adaptation for High-Dimensional with Limited-Sample Data Classification Using Variational Autoencoder

    Mohammad Sultan Mahmud;Joshua Zhexue Huang;Xianghua Fu;Rukhsana Ruby

    (2021)
    7 Citations
  • PROCESS Data Infrastructure and Data Services

    Reginald Cushing;Onno Valkering;Adam Belloum;Souley Madougou

    (2020)
    6 Citations
  • SingTRACeX: Navigation System to Address Wandering Behavior for Elders and Their Caregivers

    (2022)
    3 Citations
  • Logistic Regression Based on Statistical Learning Model with Linearized Kernel for Classification

    (2021)
    2 Citations
  • Synthesis of Liveness-Enforcing Petri Net Supervisors Based on a Think-Globally-Act-\Łocally Approach and a Structurally Minimal Method for Flexible Manufacturing Systems

    (2022)
    2 Citations

Related Online Degrees & Career Pathways

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Choosing the right institution matters. Prospective students should consider enrollment options at top 10 online universities known for quality and national accreditation. These schools combine reputation with flexibility, offering comprehensive curricula tailored to the evolving demands of the technology sector.

Best Scientists Contributing to This Journal