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Analysis of institutional authors

Wang XAuthorGasperi LAuthorRuano MágAuthor

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Rest or rust? Complex influence of schedule congestion on the home advantage in the National Basketball Association

Publicated to:Chaos Solitons & Fractals. 174 113698- - 2023-09-01 174(), DOI: 10.1016/j.chaos.2023.113698

Authors: Wang, X; Zhang, SL; Gasperi, L; Robertson, S; Ruano, MAG

Affiliations

Tsinghua Univ, Inst Interdisciplinary Informat Sci, Beijing, Peoples R China - Author
Tsinghua University - Author
Univ Politecn Madrid, Fac Phys Act & Sports Sci, Madrid, Spain - Author
Universidad Politécnica de Madrid - Author
Victoria Univ, Inst Sport Exercise & Act Living, Coll Sport & Exercise Sci, Melbourne, Australia - Author
Victoria University - Author
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Abstract

The aim of this study was to examine the short-term and long-term effects of schedule congestion on the home advantage (HA) in the National Basketball Association (NBA). A total of 1214 games were considered from teams participating in NBA 2021–22 regular season. A bivariate Poisson regression model were used to estimate the effects of the schedule congestion on the HA. The results revealed that the relationships between the HA and the rest time of home and away team were non-linear in the schedule congestion cycle. Too much rest time might be detrimental to the team performance, especially for the away team. In addition, the accumulation of fatigue and incomplete physical recovery due to schedule congestion could have a season-long impact on the HA. The findings offered a new insight about the effect of schedule congestion on the HA and teams’ performance in NBA and might be useful for load management to reduce the disadvantage from schedule congestion, as well as the risk of athletes’ injury.

Keywords

basketballdecisionsperformancerecoveryschedule congestionsporttravelBasketballCrowd noiseHome advantageRecoverySchedule congestion

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Chaos Solitons & Fractals due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2023, it was in position 2/60, thus managing to position itself as a Q1 (Primer Cuartil), in the category Physics, Mathematical. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 2.43, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-14, the following number of citations:

  • WoS: 4
  • Scopus: 5
  • OpenCitations: 4

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-14:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 22.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 22 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.
  • The number of mentions on the social network X (formerly Twitter): 3 (Altmetric).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Australia; China.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (WANG, XING) and Last Author (GOMEZ RUANO, MIGUEL ANGEL).