Tom Decroos

487 total citations
8 papers, 103 citations indexed

About

Tom Decroos is a scholar working on Economics and Econometrics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tom Decroos has authored 8 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Economics and Econometrics, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Tom Decroos's work include Sports Analytics and Performance (6 papers), Video Analysis and Summarization (3 papers) and Time Series Analysis and Forecasting (3 papers). Tom Decroos is often cited by papers focused on Sports Analytics and Performance (6 papers), Video Analysis and Summarization (3 papers) and Time Series Analysis and Forecasting (3 papers). Tom Decroos collaborates with scholars based in Belgium. Tom Decroos's co-authors include Jan Van Haaren, Jesse Davis, Bart Demoen and Patrick De Causmaecker and has published in prestigious journals such as Lirias (KU Leuven) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Tom Decroos

7 papers receiving 97 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Decroos Belgium	5	75	47	39	35	24	8	103
Floris Goes Netherlands	7	207 2.8×	29 0.6×	214 5.5×	17 0.5×	25 1.0×	8	283
Sebastian Stabinger Austria	6	11 0.1×	34 0.7×	15 0.4×	10 0.3×	61 2.5×	13	114
Kris Cao United Kingdom	5	7 0.1×	14 0.3×	4 0.1×	8 0.2×	61 2.5×	7	71
Miodrag Lovrić Serbia	4	8 0.1×	6 0.1×		16 0.5×	15 0.6×	7	56
Harsh Jhamtani United States	7	7 0.1×	22 0.5×		6 0.2×	81 3.4×	14	102
Adrien Couëtoux United Kingdom	3	13 0.2×	29 0.6×		3 0.1×	120 5.0×	4	129
Guillaume Gravier France	7	4 0.1×	84 1.8×		77 2.2×	73 3.0×	16	154
B. Ravi Kiran India	4	9 0.1×	23 0.5×		10 0.3×	2 0.1×	5	28
Dragan Doder Serbia	7	5 0.1×		55 1.4×	7 0.2×	80 3.3×	42	152
David Madras Canada	4	8 0.1×	21 0.4×		3 0.1×	88 3.7×	9	133

Countries citing papers authored by Tom Decroos

Since Specialization

Citations

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

Fields of papers citing papers by Tom Decroos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Decroos

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Davis, Jesse, et al.. (2020). How does context affect player performance in football. Lirias (KU Leuven). 58–77. 1 indexed citations

2.

Decroos, Tom. (2020). Soccer Analytics Meets Artificial Intelligence: Learning Value and Style from Soccer Event Stream Data. 6 indexed citations

3.

Decroos, Tom, et al.. (2020). VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). Lirias (KU Leuven). 4696–4700. 14 indexed citations

4.

Decroos, Tom, Jan Van Haaren, & Jesse Davis. (2018). Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data. Lirias (KU Leuven). 223–232. 46 indexed citations

5.

Decroos, Tom, et al.. (2017). STARSS: A Spatio-Temporal Action Rating System for Soccer.. Lirias (KU Leuven). 1971. 11–20. 5 indexed citations

6.

Decroos, Tom, et al.. (2017). Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 26 indexed citations

7.

Decroos, Tom, et al.. (2017). Predicting the Potential of Professional Soccer Players.. Lirias (KU Leuven). 1–10. 4 indexed citations

8.

Decroos, Tom, Patrick De Causmaecker, & Bart Demoen. (2015). Solving Euclidean Steiner Tree Problems with Multi Swarm Optimization. Lirias (KU Leuven). 1379–1380. 1 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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