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Applied Computer Science

Polish Association for Knowledge Promotion, Poland

Applied Computer Science is an academic journal published by Polish Association for Knowledge Promotion (Poland). Identifiers: ISSN 1895-3735, eISSN 2353-6977. Indexed in SCOPUS. Metrics: CiteScore 2.1, SJR 0.259, SNIP 0.53. tlooto lists 719 papers from this journal.

CiteScore

2.10

Scopus citation metric

SJR

0.259

SCImago rank

SNIP

0.53

Source normalized impact

Percentage rank

-

JIF percentile rank

Journal profile

ISSN
1895-3735
eISSN
2353-6977
Abbreviation
-
Publisher
Polish Association for Knowledge Promotion
Country
Poland

Web of Science categories

No Web of Science category data available.

Scopus ASJC categories

1702170617102001 Economics2204 Biomedical Engineering2207 Control and Systems Engineering2209 Industrial and Manufacturing Engineering2210 Mechanical Engineering

Papers in this journal

Recent papers

  1. Models for calculating the integral quality indicator of the offset printing process for the IIOT-system

    2026

  2. A comprehensive review of metaheuristic algorithms for mobile robot path planning

    2026

  3. A real-time adaptive traffic light control algorithm at urban intersections for smart cities

    2026

  4. A scalable and cost-effective forest fire detection approach using deep transfer learning on a Raspberry Pi cluster

    2026

  5. Development of non-destructive vibration method for classification of bone fracture severity

    2026

Most cited papers

  1. Choice of best possible metaheuristic algorithm for the travelling salesman problem with limited computational time: quality, uncertainty and speed

    2013 · 60 citations

  2. Is the conventional interval arithmetic correct

    2012 · 60 citations

  3. KNEE JOINT OSTEOARTHRITIS DIAGNOSIS BASED ON SELECTED ACOUSTIC SIGNAL DISCRIMINANTS USING MACHINE LEARNING

    2022 · 59 citations

  4. The mean error estimation of TOPSIS method using a fuzzy reference models

    2013 · 58 citations

  5. Comparative study of shape, intensity and texture features and support vector machine for white blood cell classification

    2013 · 46 citations