Stef van den Elzen

814 total citations
16 papers, 550 citations indexed

About

Stef van den Elzen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Stef van den Elzen has authored 16 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Stef van den Elzen's work include Data Visualization and Analytics (14 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Time Series Analysis and Forecasting (4 papers). Stef van den Elzen is often cited by papers focused on Data Visualization and Analytics (14 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Time Series Analysis and Forecasting (4 papers). Stef van den Elzen collaborates with scholars based in Netherlands, Germany and Belgium. Stef van den Elzen's co-authors include Jarke J. van Wijk, Danny Holten, Jorik Blaas, Anna Vilanova, Nicola Pezzotti, Jaakko Peltonen, Rafael M. Martins, Sebastiaan Overeem, Ruud J. G. van Sloun and Gennady Andrienko and has published in prestigious journals such as SLEEP, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Stef van den Elzen

14 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stef van den Elzen Netherlands	9	441	209	156	113	35	16	550
Chris Muelder United States	16	462 1.0×	96 0.5×	160 1.0×	142 1.3×	43 1.2×	23	600
Bruno Pinaud France	8	250 0.6×	90 0.4×	103 0.7×	57 0.5×	48 1.4×	28	358
Sebastian Mittelstädt Germany	12	296 0.7×	158 0.8×	27 0.2×	98 0.9×	12 0.3×	22	482
Arnaud Sallaberry France	12	147 0.3×	106 0.5×	140 0.9×	57 0.5×	42 1.2×	37	350
Kazuo Misue Japan	8	512 1.2×	127 0.6×	125 0.8×	157 1.4×	52 1.5×	60	703
Paolo Federico Austria	9	265 0.6×	96 0.5×	47 0.3×	45 0.4×	9 0.3×	18	371
Romain Bourqui France	11	194 0.4×	86 0.4×	94 0.6×	58 0.5×	43 1.2×	27	341
Ozan Ersoy Netherlands	8	358 0.8×	55 0.3×	87 0.6×	134 1.2×	65 1.9×	12	420
Tarik Crnovrsanin United States	9	218 0.5×	50 0.2×	108 0.7×	68 0.6×	21 0.6×	24	314
Michael Balzer Germany	10	412 0.9×	80 0.4×	51 0.3×	106 0.9×	43 1.2×	16	558

Countries citing papers authored by Stef van den Elzen

Since Specialization

Citations

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

Fields of papers citing papers by Stef van den Elzen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stef van den Elzen. 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 Stef van den Elzen. The network helps show where Stef van den Elzen may publish in the future.

Co-authorship network of co-authors of Stef van den Elzen

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

All Works

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16 of 16 papers shown

Elzen, Stef van den, Mieke Jans, Niels Martin, et al.. (2025). Towards Multi-Faceted Visual Process Analytics. Information Systems. 133. 102560–102560.

Landesberger, Tatiana von, et al.. (2025). Cluster-Based Random Forest Visualization and Interpretation. IEEE Transactions on Visualization and Computer Graphics. 32(1). 626–636.

Meulen, Fokke van, et al.. (2023). Studying sleep: towards the identification of hypnogram features that drive expert interpretation. SLEEP. 47(3). 2 indexed citations

Gilst, Merel M. van, et al.. (2023). FlexEvent: going beyond Case‐Centric Exploration and Analysis of Multivariate Event Sequences. Computer Graphics Forum. 42(3). 161–172. 2 indexed citations

Elzen, Stef van den, Gennady Andrienko, Natalia Andrienko, et al.. (2023). The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. IEEE Computer Graphics and Applications. 43(2). 78–88. 8 indexed citations

Elzen, Stef van den, et al.. (2023). Class-constrained t-SNE: Combining Data Features and Class Probabilities. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 14 indexed citations

Elzen, Stef van den, et al.. (2023). A survey of visualization techniques for comparing event sequences. Computers & Graphics. 115. 522–542. 3 indexed citations

Sloun, Ruud J. G. van, et al.. (2022). The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification. IEEE Transactions on Visualization and Computer Graphics. 30(2). 1502–1515. 4 indexed citations

Elzen, Stef van den, et al.. (2022). ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection. Computer Graphics Forum. 41(3). 97–108. 10 indexed citations

10.

Elzen, Stef van den, et al.. (2019). ChronoCorrelator: Enriching Events with Time Series. Computer Graphics Forum. 38(3). 387–399. 5 indexed citations

11.

Elzen, Stef van den, Danny Holten, Jorik Blaas, & Jarke J. van Wijk. (2015). Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration. IEEE Transactions on Visualization and Computer Graphics. 22(1). 1–10. 114 indexed citations

12.

Elzen, Stef van den, Danny Holten, Jorik Blaas, & Jarke J. van Wijk. (2014). Dynamic Network Visualization withExtended Massive Sequence Views. IEEE Transactions on Visualization and Computer Graphics. 20(8). 1087–1099. 65 indexed citations

13.

Elzen, Stef van den & Jarke J. van Wijk. (2014). Multivariate Network Exploration and Presentation: From Detail to Overview via Selections and Aggregations. IEEE Transactions on Visualization and Computer Graphics. 20(12). 2310–2319. 93 indexed citations

14.

Elzen, Stef van den, Danny Holten, Jorik Blaas, & Jarke J. van Wijk. (2013). Reordering Massive Sequence Views: Enabling temporal and structural analysis of dynamic networks. TU/e Research Portal. 33–40. 29 indexed citations

15.

Elzen, Stef van den & Jarke J. van Wijk. (2013). Small Multiples, Large Singles: A New Approach for Visual Data Exploration. Computer Graphics Forum. 32(3pt2). 191–200. 78 indexed citations

16.

Elzen, Stef van den & Jarke J. van Wijk. (2011). BaobabView: Interactive construction and analysis of decision trees. TU/e Research Portal. 151–160. 123 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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