Sander Koelstra

5.5k total citations · 1 hit paper
7 papers, 3.7k citations indexed

About

Sander Koelstra is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sander Koelstra has authored 7 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Experimental and Cognitive Psychology, 3 papers in Social Psychology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sander Koelstra's work include Emotion and Mood Recognition (4 papers), Color perception and design (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Sander Koelstra is often cited by papers focused on Emotion and Mood Recognition (4 papers), Color perception and design (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Sander Koelstra collaborates with scholars based in United Kingdom, Switzerland and Netherlands. Sander Koelstra's co-authors include Ioannis Patras, Thierry Pun, Mohammad Soleymani, Christian Mühl, Touradj Ebrahimi, Amirmehdi Yazdani, Jong‐Seok Lee, Anton Nijholt and Maja Pantić and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and IEEE Transactions on Affective Computing.

In The Last Decade

Sander Koelstra

7 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DEAP: A Database for Emotion Analysis ;Using Physiological Signals

2011 3.2k citations Sander Koelstra, Christian Mühl et al. IEEE Transactions on Affective Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sander Koelstra United Kingdom	7	2.7k	2.7k	659	521	511	7	3.7k
Christian Mühl United States	12	2.6k 0.9×	2.9k 1.1×	439 0.7×	530 1.0×	550 1.1×	20	3.9k
Yuan Zong China	29	2.5k 0.9×	1.7k 0.6×	1.2k 1.9×	215 0.4×	522 1.0×	108	3.6k
Guillaume Chanel Switzerland	24	1.1k 0.4×	1.2k 0.5×	270 0.4×	264 0.5×	299 0.6×	53	2.3k
Jiayi Zhu China	16	1.3k 0.5×	1.6k 0.6×	408 0.6×	254 0.5×	325 0.6×	57	2.2k
Jonghwa Kim Germany	13	998 0.4×	891 0.3×	256 0.4×	264 0.5×	281 0.5×	22	1.6k
Tengfei Song China	9	1.4k 0.5×	1.5k 0.6×	302 0.5×	218 0.4×	340 0.7×	12	1.9k
Jeroen Lichtenauer Netherlands	8	820 0.3×	740 0.3×	301 0.5×	269 0.5×	271 0.5×	17	1.4k
Yuan‐Pin Lin Taiwan	21	879 0.3×	1.6k 0.6×	128 0.2×	180 0.3×	259 0.5×	42	1.9k
Michel Valstar United Kingdom	35	4.4k 1.6×	1.0k 0.4×	3.7k 5.6×	88 0.2×	505 1.0×	116	6.5k
Jeffrey M. Girard United States	21	1.3k 0.5×	536 0.2×	890 1.4×	98 0.2×	153 0.3×	56	2.2k

Countries citing papers authored by Sander Koelstra

Since Specialization

Citations

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

Fields of papers citing papers by Sander Koelstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sander Koelstra

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

All Works

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7 of 7 papers shown

1.

Koelstra, Sander & Ioannis Patras. (2012). Fusion of facial expressions and EEG for implicit affective tagging. Image and Vision Computing. 31(2). 164–174. 160 indexed citations

2.

Koelstra, Sander, Christian Mühl, Mohammad Soleymani, et al.. (2011). DEAP: A Database for Emotion Analysis ;Using Physiological Signals. IEEE Transactions on Affective Computing. 3(1). 18–31. 3233 indexed citations breakdown →

3.

Soleymani, Mohammad, Sander Koelstra, Ioannis Patras, & Thierry Pun. (2011). Continuous emotion detection in response to music videos. 803–808. 57 indexed citations

4.

Koelstra, Sander, Maja Pantić, & Ioannis Patras. (2010). A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(11). 1940–1954. 178 indexed citations

5.

Koelstra, Sander & Ioannis Patras. (2009). The fast-3D spatio-temporal interest region detector. 242–245. 10 indexed citations

6.

Koelstra, Sander, Christian Mühl, & Ioannis Patras. (2009). EEG analysis for implicit tagging of video data. University of Twente Research Information. 1–6. 37 indexed citations

7.

Koelstra, Sander & Maja Pantić. (2008). Non-rigid registration using free-form deformations for recognition of facial actions and their temporal dynamics. University of Twente Research Information. 1–8. 41 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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