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Analysis of institutional authors

Mujica GCorresponding AuthorPortilla JAuthor

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April 14, 2022
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Internet of Things in Sport Training: Application of a Rowing Propulsion Monitoring System

Publicated to: IEEE Internet of Things Journal. 9 (19): 18880-18897 - 2022-10-01 9(19), DOI: 10.1109/JIOT.2022.3163181

Authors:

Castro, R; Mujica, G; Portilla, J
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Affiliations

Univ Politecn Madrid, Ctr Elect Ind, Madrid 28006, Spain - Author

Abstract

The application of electronics, communication and telemetry technologies in the field of sport training is a major trend today, specially with the explosion of the Internet of Things paradigm. In particular, the rowing sport is one of the disciplines that could benefit from efficient, easy to integrate and low cost IoT technologies to help analysing and optimizing the performance of the rowers. However, traditionally monitoring tools in rowing are expensive and very limited. In this work a rowing propulsion monitoring system for on-board analysis of rower’s key parameters is proposed, based on the development of a low-cost IoT device that combines sensing, global positioning, wireless communication and data fusion for runtime information processing and monitoring on the boat. A power calculation model during the stroke is also proposed in order to estimate the energetic efficiency of the strokes in relation with the boat velocity. An acceleration sensor on the oar is used to decompose the movement; a torsion sensor to calculate the rower’s strength and energetic values; and navigation data for speed and distance values of the boat. A comprehensive comparative experimentation in a real rowing training scenario is performed, applying the proposed system and considering various rowers. Results show that the device provides a good vision in time of the movement and also very valuable technical information that can be used by rowers and trainers to define specific optimization profiles and improvement targets.
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Keywords

boatsedge nodesinternet of thingsinternet of things (iot)monitoringpower measurementpropulsionrowingsport trainingstroketrainingwireless sensor networksBoatsEdge nodes.Internet of thingsMonitoringPerformancePower measurementPropulsionRowingSport trainingSportsTrainingWireless sensor networks

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE Internet of Things Journal 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, 2022, it was in position 4/158, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Information Systems. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.04. This 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: ESI Nov 13, 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-27, the following number of citations:

  • WoS: 9
  • Scopus: 10
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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 2026-04-27:

  • 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: 23 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/85888/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 150
  • Downloads: 68
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Leadership analysis of institutional authors

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 (Castro R) and Last Author (PORTILLA BERRUECO, JORGE).

the author responsible for correspondence tasks has been MUJICA ROJAS, GABRIEL NOE.

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