
Academic Journal
Q2International Journal of Computer Science in Sport
About International Journal of Computer Science in Sport
International Journal of Computer Science in Sport is a scholarly journal published by Sciendo. SCImago 2025 lists it in Q2, with an SJR of 0.397 and H-index of 18.
Coverage: 2012-2025. Research categories: Computer Science (miscellaneous) (Q2); Biomedical Engineering (Q3).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2026-07-24. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
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Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Sports Performance and Training; Sports Analytics and Performance; Sports Dynamics and Biomechanics; Sports injuries and prevention; Educational Games and Gamification; Sport Psychology and Performance.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Estimating Probability Distributions of FIFA-Defined Phases of Play Based on Inter-Analyst Diversity
K. Kuroda, K. Fujii, Y. Kameda
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Alexandre Cardoso Feitosa, Isaac Jesus da Silva, Danilo Hernani Perico
2026-02-01 · DOI: 10.2478/ijcss-2026-0002A Game of Runs: Extracting Initiation Rules for Basketball Scoring Runs through Focused Sequence Mining
Ioannis Sevrisarianos, Ioannis Katakis
2026-02-01 · DOI: 10.2478/ijcss-2026-0006Linear Programming Solutions to the Linear Ordering Problem in Major American Sports
B.J. Coleman
2026-02-01 · DOI: 10.2478/ijcss-2026-0001The Anticipated Acceptance of Virtual Reality for Physical Activity with Special Consideration of a Self-Built Low-Cost Setup
Michael Weißensteiner, Juliana Exel
2026-02-01 · DOI: 10.2478/ijcss-2026-0003Observational Analysis of Mistakes in Chess Initiation, Using Decision Trees
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Steffen Lang, Thomas Wimmer, Alexander Erben, Daniel Link et al.
2025-06-01 · DOI: 10.2478/ijcss-2025-0011Deep Learning Sequence Network for Identifying and Analyzing Archery Shooting Patterns
Jihoon Park, Hyongjun Choi
2025-06-01 · DOI: 10.2478/ijcss-2025-0016Transferring between sports: the case of Icelandic youth sport
Peter O’Donoghue, Markus Mani Maute, Kristján Valur Jóhannsson, Sveinn Þorgeirsson et al.
2025-06-01 · DOI: 10.2478/ijcss-2025-0010Evaluating the Influence of Sensor Configuration and Hyperparameter Optimization on Wearable-Based Knee Moment Estimation During Running
L. Höschler, C. Halmich, C. Schranz, A.D. Koelewijn et al.
2025-06-01 · DOI: 10.2478/ijcss-2025-0014A Semi-Supervised Machine Learning Approach to Define Pressing Roles in Football
Andrew Peters, Nimai Parmar, Michael Davies, Nic James et al.
2025-06-01 · DOI: 10.2478/ijcss-2025-0013A Visual Analytics Approach to Basketball Game Understanding Using Image-Based Tracking and Event Detection
Stephen Karungaru, Hiroki Tanioka
2025-06-01 · DOI: 10.2478/ijcss-2025-0015Advancing Sport Biomechanics with Depth Cameras: Systematic Review of Current Applications and Future Directions
Konrad Maciejewski, Francisco Martins, Diogo Martinho, Maciej Śliż et al.
2025-02-01 · DOI: 10.2478/ijcss-2025-0009Estimating the Relevance of First Offensive Shot Tactics in Table Tennis via Simulation Based on a Finite Markov Chain Model
F. Rothe, R. Liu, M. Lames
2025-02-01 · DOI: 10.2478/ijcss-2025-0001NBA Results Forecast: From League Dynamics Analysis to Predictive Model Implementation
F Rodrigues, F Pires
2025-02-01 · DOI: 10.2478/ijcss-2025-0006Players’ Performance Prediction for Fantasy Premier League, Using Transformer-based Sentiment Analysis on News and Statistical Data
M. Tamimi, T. Tran
2025-02-01 · DOI: 10.2478/ijcss-2025-0008A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results
Messaoud Bendiaf, Hakima Khelifi, Djamila Mohdeb, Mouhoub Belazzoug et al.
2025-02-01 · DOI: 10.2478/ijcss-2025-0004Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
Kazuhiro Yamada, Keisuke Fujii
2025-02-01 · DOI: 10.2478/ijcss-2025-0003Can machine learning distinguish between elite and non-elite rowers?
Kristine Fjellkårstad Orten, Sander Elias Magnussen Helgesen, Bihui Chen, Adel Baselizadeh et al.
2025-02-01 · DOI: 10.2478/ijcss-2025-0007Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis
Y. Xie, V. Mariano
2025-02-01 · DOI: 10.2478/ijcss-2025-0002Reviews
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Version History
October 4, 2026 at 9:24 pm
October 2, 2026