Floris Goes

560 total citations
8 papers, 283 citations indexed

About

Floris Goes is a scholar working on Economics and Econometrics, Orthopedics and Sports Medicine and Developmental and Educational Psychology. According to data from OpenAlex, Floris Goes has authored 8 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 8 papers in Orthopedics and Sports Medicine and 2 papers in Developmental and Educational Psychology. Recurrent topics in Floris Goes's work include Sports Performance and Training (8 papers), Sports Analytics and Performance (8 papers) and Sports Dynamics and Biomechanics (2 papers). Floris Goes is often cited by papers focused on Sports Performance and Training (8 papers), Sports Analytics and Performance (8 papers) and Sports Dynamics and Biomechanics (2 papers). Floris Goes collaborates with scholars based in Netherlands, Germany and Brazil. Floris Goes's co-authors include Koen Lemmink, Matthias Kempe, Laurentius A. Meerhoff, Michel S. Brink, Marije T. Elferink‐Gemser, Tim Meyer, Stephan Nopp, Chris Thompson, Pascal Bauer and Felipe Arruda Moura and has published in prestigious journals such as Journal of Sports Sciences, European Journal of Sport Science and International Journal of Sports Science & Coaching.

In The Last Decade

Floris Goes

8 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Floris Goes Netherlands	7	214	207	72	46	29	8	283
Dominik Raabe Germany	9	273 1.3×	224 1.1×	122 1.7×	73 1.6×	35 1.2×	20	368
Vangelis Sarlis Greece	8	145 0.7×	136 0.7×	28 0.4×	27 0.6×	19 0.7×	16	244
Ricardo de Oliveira Anido Brazil	8	408 1.9×	135 0.7×	116 1.6×	112 2.4×	42 1.4×	12	508
Javier Fernández-Navarro Spain	7	302 1.4×	232 1.1×	126 1.8×	45 1.0×	12 0.4×	13	335
François Rioult France	4	51 0.2×	68 0.3×	16 0.2×	30 0.7×	13 0.4×	13	124
Tom Decroos Belgium	5	39 0.2×	75 0.4×	10 0.1×	5 0.1×	47 1.6×	8	103
Chris Jordan United States	7	39 0.2×	3 0.0×	15 0.2×	6 0.1×	10 0.3×	26	218
Dragan Doder Serbia	7	55 0.3×	5 0.0×	12 0.2×	25 0.5×		42	152
Tica Lin United States	7	6 0.0×	9 0.0×	19 0.3×	2 0.0×	77 2.7×	13	119
Sebastian Stabinger Austria	6	15 0.1×	11 0.1×	1 0.0×	6 0.1×	34 1.2×	13	114

Countries citing papers authored by Floris Goes

Since Specialization

Citations

This map shows the geographic impact of Floris Goes'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 Floris Goes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Floris Goes more than expected).

Fields of papers citing papers by Floris Goes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Floris Goes. 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 Floris Goes. The network helps show where Floris Goes may publish in the future.

Co-authorship network of co-authors of Floris Goes

This figure shows the co-authorship network connecting the top 25 collaborators of Floris Goes. A scholar is included among the top collaborators of Floris Goes 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 Floris Goes. Floris Goes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Hecksteden, Anne, et al.. (2022). Off-ball behavior in association football: A data-driven model to measure changes in individual defensive pressure. Journal of Sports Sciences. 40(12). 1412–1425. 10 indexed citations

Goes, Floris, et al.. (2021). A risk-reward assessment of passing decisions: comparison between positional roles using tracking data from professional men’s soccer. Science and Medicine in Football. 6(3). 372–380. 9 indexed citations

Goes, Floris, et al.. (2021). Modelling team performance in soccer using tactical features derived from position tracking data. IMA Journal of Management Mathematics. 32(4). 519–533. 22 indexed citations

Goes, Floris, Michel S. Brink, Marije T. Elferink‐Gemser, Matthias Kempe, & Koen Lemmink. (2020). The tactics of successful attacks in professional association football: large-scale spatiotemporal analysis of dynamic subgroups using position tracking data. Journal of Sports Sciences. 39(5). 523–532. 32 indexed citations

Goes, Floris, Laurentius A. Meerhoff, Felipe Arruda Moura, et al.. (2020). Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review. European Journal of Sport Science. 21(4). 481–496. 92 indexed citations

Goes, Floris, et al.. (2019). Machine learning in men’s professional football: Current applications and future directions for improving attacking play. International Journal of Sports Science & Coaching. 14(6). 798–817. 60 indexed citations

Goes, Floris, Matthias Kempe, Laurentius A. Meerhoff, & Koen Lemmink. (2018). Not Every Pass Can Be an Assist: A Data-Driven Model to Measure Pass Effectiveness in Professional Soccer Matches. Big Data. 7(1). 57–70. 53 indexed citations

Kempe, Matthias, Floris Goes, & Koen Lemmink. (2018). Smart Data Scouting in Professional Soccer: Evaluating Passing Performance Based on Position Tracking Data. University of Groningen research database (University of Groningen / Centre for Information Technology). 409–410. 5 indexed citations

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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