Sian Slawson

458 total citations
19 papers, 284 citations indexed

About

Sian Slawson is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Sian Slawson has authored 19 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Orthopedics and Sports Medicine, 11 papers in Biomedical Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Sian Slawson's work include Sports Performance and Training (12 papers), Muscle activation and electromyography studies (5 papers) and Sports Dynamics and Biomechanics (4 papers). Sian Slawson is often cited by papers focused on Sports Performance and Training (12 papers), Muscle activation and electromyography studies (5 papers) and Sports Dynamics and Biomechanics (4 papers). Sian Slawson collaborates with scholars based in United Kingdom and Canada. Sian Slawson's co-authors include Paul Conway, Andrew West, Laura Justham, J. Cossor, Andrew A. West, Katie P. Wadden, Lara A. Boyd, Nicholas J. Snow and David J. Monk and has published in prestigious journals such as Journal of Sports Sciences, Frontiers in Integrative Neuroscience and IEEE Transactions on Human-Machine Systems.

In The Last Decade

Sian Slawson

18 papers receiving 269 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sian Slawson United Kingdom 10 187 124 49 38 28 19 284
Gavin J. Corley Ireland 9 151 0.8× 136 1.1× 52 1.1× 30 0.8× 19 0.7× 14 357
Jonathan Shepherd Australia 11 167 0.9× 120 1.0× 36 0.7× 51 1.3× 38 1.4× 21 298
Fabrício Anício Magalhães Brazil 9 198 1.1× 187 1.5× 19 0.4× 25 0.7× 23 0.8× 29 336
Andrew Callaway United Kingdom 11 133 0.7× 112 0.9× 41 0.8× 28 0.7× 24 0.9× 28 297
Ryan Chambers Switzerland 6 278 1.5× 125 1.0× 57 1.2× 50 1.3× 25 0.9× 8 374
Adam Beard Switzerland 9 284 1.5× 145 1.2× 56 1.1× 66 1.7× 23 0.8× 13 438
Matthew Worsey Australia 9 147 0.8× 120 1.0× 16 0.3× 44 1.2× 33 1.2× 22 249
Amanda Piaia Silvatti Brazil 12 91 0.5× 164 1.3× 15 0.3× 89 2.3× 68 2.4× 40 411
Rebecca Mellifont Australia 9 194 1.0× 135 1.1× 41 0.8× 42 1.1× 20 0.7× 14 368
Marcus Schmidt Germany 11 136 0.7× 135 1.1× 14 0.3× 31 0.8× 11 0.4× 37 281

Countries citing papers authored by Sian Slawson

Since Specialization
Citations

This map shows the geographic impact of Sian Slawson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sian Slawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sian Slawson more than expected).

Fields of papers citing papers by Sian Slawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sian Slawson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sian Slawson. The network helps show where Sian Slawson may publish in the future.

Co-authorship network of co-authors of Sian Slawson

This figure shows the co-authorship network connecting the top 25 collaborators of Sian Slawson. A scholar is included among the top collaborators of Sian Slawson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sian Slawson. Sian Slawson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wadden, Katie P., et al.. (2018). Yoga Practitioners Uniquely Activate the Superior Parietal Lobule and Supramarginal Gyrus During Emotion Regulation. Frontiers in Integrative Neuroscience. 12. 60–60. 25 indexed citations
2.
Slawson, Sian, et al.. (2013). Design and Implementation of an Integrated Performance Monitoring Tool for Swimming to Extract Stroke Information at Real Time. IEEE Transactions on Human-Machine Systems. 43(2). 199–213. 34 indexed citations
3.
Conway, Paul, et al.. (2013). A wireless sensor system for monitoring the performance of a swimmer’s tumble turn. Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology. 227(3). 161–171. 6 indexed citations
4.
Conway, Paul, et al.. (2013). A Novel Instrumented Cycle Ergometer with Automated In-Situ Capabilities. 35. 1599–1604. 3 indexed citations
5.
Slawson, Sian, et al.. (2012). The Effect of Knee Angle on Force Production, in Swimming Starts, using the OSB11 Block. Procedia Engineering. 34. 801–806. 17 indexed citations
6.
Slawson, Sian, et al.. (2012). Image processing algorithms to extract swimming tumble turn signatures in real-time. 19. 352–355. 1 indexed citations
7.
8.
Slawson, Sian, et al.. (2012). Swimming Turn Technique Optimisation by Real-Time Measurement of Foot Pressure and Position. Procedia Engineering. 34. 586–591. 7 indexed citations
9.
Conway, Paul, et al.. (2012). Development of a wireless sensor network for use as an automated system for monitoring swimming starts. Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology. 227(3). 184–195. 5 indexed citations
10.
Cossor, J., et al.. (2011). ARE LAND TESTS A GOOD PREDICTOR OF SWIM START PERFORMANCE. ISBS - Conference Proceedings Archive. 1(1). 8 indexed citations
11.
Slawson, Sian, et al.. (2011). Characterizing the swimming tumble turn using acceleration data. Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology. 226(1). 3–15. 14 indexed citations
12.
Slawson, Sian, et al.. (2011). The effect of start block configuration and swimmer kinematics on starting performance in elite swimmers using the Omega OSB11 block. Procedia Engineering. 13. 141–147. 12 indexed citations
13.
14.
Conway, Paul, et al.. (2011). Embedded programming and real-time signal processing of swimming strokes. Sports Engineering. 14(1). 1–14. 52 indexed citations
15.
Conway, Paul, et al.. (2010). Kalman filter design for application to an INS analysing swimmer performance. European Signal Processing Conference. 1723–1727. 5 indexed citations
16.
Conway, Paul, et al.. (2010). Development of a real time system for monitoring of swimming performance. Procedia Engineering. 2(2). 2707–2712. 23 indexed citations
17.
Slawson, Sian, et al.. (2010). The development of an inexpensive passive marker system for the analysis of starts and turns in swimming. Procedia Engineering. 2(2). 2727–2733. 11 indexed citations
18.
Slawson, Sian, et al.. (2010). Dynamic signature for tumble turn performance in swimming. Procedia Engineering. 2(2). 3391–3396. 15 indexed citations
19.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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