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Allied Health, Exercise and Sports Sciences
Charles Sturt University
Science and Health
Email
[email protected]
Website
https://science-health.csu.edu.au/schools/health-exercise-sports
Overview
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Network
Researchers
(72)
Research Outputs
(2774)
Datasets
(2)
Prizes
(95)
Activities
(343)
Press/Media
(121)
Impacts
(5)
Research output
Research output per year
1988
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
46948
Citations
92
h-index
1567
Article
319
Abstract
191
Conference paper
138
Presentation only
559
More
93
Review article
83
Chapter (peer-reviewed)
79
Poster
63
Chapter
58
Doctoral Thesis
25
Chapter in textbook/reference book
20
Commissioned report (public)
19
Meeting Abstract
14
Editorial
13
Comment/debate
12
Book
12
Edited book
12
Letter
11
Commissioned report (non-public)
6
Web publication/site
5
Resource
4
Other report
3
Other
3
Featured article
3
Digital content
3
Special issue
2
Textbook/Reference book
2
Other chapter contribution
2
Professional blog or online forum
2
Masters Thesis
2
Discussion paper
2
Preprint
1
Submissions to inquiries and consultations
1
Entry for encyclopedia/dictionary
1
Literature review
1
Creative Works Original - Textual
1
Honours Thesis
1
Working paper
Research output per year
Research output per year
2 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Filter
Preprint
Search results
2023
Training Interventions for Improved Deceleration Ability in Adult Team-Based Field Sports Athletes: A SYSTEMATIC REVIEW and META-ANALYSIS of the Literature
Marvin, L., Read, P., McLean, B., Palmer, S. &
Fransen, J.
,
2023
.
Research output
:
Resource/document
›
Preprint
Training Intervention
100%
Metaanalysis
100%
Team-based
100%
Field Sports
100%
Sports Athletes
100%
2021
Modelling age-related changes in executive functions of soccer players
Chin, V., Beavan, A.,
Fransen, J.
, Mayer, J., Kohn, R., Ryan, L. M. & Sisson, S. A.,
04 May 2021
,
p. 1-29
,
29 p.
Research output
:
Resource/document
›
Preprint
Age-related Changes
100%
Soccer Players
100%
Executive Function
100%
Talent Identification
33%
Latent Variable Models
16%