Thank you for your continuous support. We regret to inform you that the deadline for announcing the winner of the 2023 Best Paper Award has been postponed to 30 April 2025.
The editorial office would like to apologize for any inconvenience caused. If you have any questions, please do not hesitate to contact us.
We are pleased to announce the “Sports 2023 Best Paper Award” for research and review articles published in Sports from 1st January 2023 to 31st December 2023. One review and one research article will receive an award each. The papers will be selected after a thorough evaluation by the journal Award Committee.
The Prize:
– One review award: CHF 500 and a chance to publish a free paper in Sports in 2024 after peer review;
– One research article award: CHF 500 CHF and a chance to publish a free paper in Sports in 2025 after peer review.
– Each winner will also receive a certificate.
The winners will be announced on the journal website in March 2025.
Kind regards,
Sports Editorial Office
Eligibility for the Award
– Papers published in Sports from 1st January 2023 to 31st December 2023;
– Open to all career levels;
– Both regular and Special Issue submissions will be considered.
Selection Criteria
The papers will be selected by the journal Award Committee according to the following criteria:
– Scientific merit and broad impact;
– Originality of the research objectives and/or the ideas presented;
– Creativity of the study design or uniqueness of the approaches and concepts;
– Clarity of presentation;
– Citations and downloads.
The purpose of the present study was to assess pre-post practice changes in countermovement vertical jump (CVJ) force-time metrics and to determine the relationship between internal and external load variables within a cohort of professional male vol...
Recently, electronic sports (eSports) became one of the growing forms of new media due to the wide diffusion of games and online technologies. Even if there is still a debate about the definition and characterization of eSports, eAthletes train heavi...
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