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Informatica
H-index 20

Informatica

0868-4952

Published by: IOS Press

http://www.iospress.nl/journal/informatica/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 624 18 21 9

Additional Metrics

Number of Best Scientists*: 42
Documents by Best Scientists*: 67
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 49
SCIMAGO SJR: 0.61
Impact Factor: 2.8

Overview

Top Research Topics at Informatica (lithuanian Academy of Sciences)?

The journal generally zeroes in on subjects such as Artificial intelligence, Algorithm, Mathematical optimization, Pattern recognition and Theoretical computer science. The Artificial intelligence works featured in it incorporate elements from Machine learning, Data mining, Computer vision and Natural language processing.

  • Artificial intelligence (23.52%)
  • Algorithm (11.25%)
  • Mathematical optimization (9.37%)

What are the most cited papers published in the journal?

  • Supervised Machine Learning: A Review of Classification Techniques (2480 citations)
  • Issues in multiagent resource allocation (446 citations)
  • Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS) (334 citations)

Research areas of the most cited articles at Informatica (lithuanian Academy of Sciences):

The journal articles are organized to address concerns in the fields of Artificial intelligence, Mathematical optimization, Data mining, Machine learning and Pattern recognition. The published papers facilitate discussions on Artificial intelligence that incorporate concepts from other fields like Computer vision and Extension (predicate logic). The works on Mathematical optimization tackled in the published papers bring together disciplines like Algorithm and Group decision-making.

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

  • Artificial intelligence
  • Statistics
  • Programming language

The previous edition focused in particular on these issues:

The concepts of Artificial intelligence, Machine learning, Pattern recognition, Algorithm and Field (computer science) are tackled in the journal. In it, Task (project management) and Natural language processing are investigated in conjunction with one another to address concerns in Artificial intelligence research. The work on Natural language processing addressed in Informatica (lithuanian Academy of Sciences) expands to the thematically related Ontology (information science).

The featured works in Feature selection, Naive Bayes classifier, AdaBoost and Econometric model, which all belong in the domain if Machine learning, also overlaps with concepts under Stock market. The study on Algorithm presented in the journal intersects with subjects under the field of Artificial neural network. It connects research in Field (computer science) with the related topic of Support vector machine.

The most cited articles from the last journal are:

  • Developing of a Novel Integrated MCDM MULTIMOOSRAL Approach for Supplier Selection (6 citations)
  • An Extended Intuitionistic Fuzzy Multi-Attributive Border Approximation Area Comparison Approach for Smartphone Selection Using Discrimination Measures (4 citations)
  • Risk Prioritization in Failure Mode and Effects Analysis with Extended SWARA and MOORA Methods Based on Z-Numbers Theory (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 Informatica (lithuanian Academy of Sciences) (based on the number of publications) are:

  • Gintautas Dzemyda (27 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Raimondas Čiegis (20 papers) absent at the last edition,
  • Edmundas Kazimieras Zavadskas (20 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Rimantas Pupeikis (19 papers) absent at the last edition,
  • Kazys Kazlauskas (19 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 Informatica (lithuanian Academy of Sciences) (based on the number of publications) are:

  • Vilnius University (69 papers) absent at the last edition,
  • Kaunas University of Technology (47 papers) absent at the last edition,
  • Vilnius Gediminas Technical University (41 papers) absent at the last edition,
  • University of Maribor (28 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Vytautas Magnus University (24 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, 59.34% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.51% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.22% of all publications and 62.16% 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.

How to Contribute to the Journal

If you are an aspiring or seasoned researcher interested in publishing your work in the journal, it is worthwhile to consider the focus areas and standards of the Lithuanian Academy of Sciences. Keeping abreast of the widely-discussed topics in the recent issues of the journal and the most cited papers can provide insights into the trends and methodologies preferred by the journal. However, if your research lies in the field of education, particularly in teaching elementary school, it might be worth considering other specialized journals for submission. For instance, if your focus is on strategies and best practices on how to become a successful elementary school teacher in a specific geographical area, like Montana, submitting to a journal with an emphasis on educational research might yield more fruitful results. For those interested, you can take a look at the specifics of how to become an elementary school teacher in Montana. This path may not only provide more exposure to like-minded peers in your specialized field but also enhance collaboration and citation possibilities with researchers who are deeply invested in your area of study. By strategically publishing your research findings, you can greatly influence your professional growth and contributions to the field of education.

Top Publications

  • A Fermatean Fuzzy ELECTRE Method for Multi-Criteria Group Decision-Making

    (2022)
    58 Citations
  • An Entropy-Based Method for Probabilistic Linguistic Group Decision Making and its Application of Selecting Car Sharing Platforms

    (2020)
    27 Citations
  • A Cosine Similarity Measure Based on the Choquet Integral for Intuitionistic Fuzzy Sets and Its Applications to Pattern Recognition

    Murat Olgun;Ezgi Türkarslan;Mehmet Ünver;Jun Ye

    (2021)
    26 Citations
  • New Approach for Quality Function Deployment Using Linguistic Z-Numbers and EDAS Method

    Ling-Xiang Mao;Ran Liu;Xun Mou;Hu-Chen Liu

    (2021)
    23 Citations
  • An Extended Intuitionistic Fuzzy Multi-Attributive Border Approximation Area Comparison Approach for Smartphone Selection Using Discrimination Measures

    Arunodaya Raj Mishra;Abhishek Kumar Garg;Honey Purwar;Pushpendra Rana

    (2021)
    22 Citations
  • A New Decision Making Method Using Interval-Valued Intuitionistic Fuzzy Cosine Similarity Measure Based on the Weighted Reduced Intuitionistic Fuzzy Sets

    Rajkumar Verma;José M. Merigó

    (2020)
    20 Citations
  • A Novel T-Spherical Fuzzy REGIME Method for Managing Multiple-Criteria Choice Analysis Under Uncertain Circumstances

    (2022)
    13 Citations
  • Intelligent and Efficient IoT Through the Cooperation of TinyML and Edge Computing

    (2023)
    12 Citations
  • Palm Vein Recognition Based on Convolutional Neural Network

    Yong-Yi Fanjiang;Cheng-Chi Lee;Yan-Ta Du;Shi-Jinn Horng

    (2021)
    11 Citations
  • Transportation Mode Selection for Organ Transplant Networks by a New Multi-Criteria Group Decision Model Under Interval-Valued Intuitionistic Fuzzy Uncertainty

    (2023)
    8 Citations

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Best Scientists Contributing to This Journal