Ignace T. C. Hooge

6.5k total citations
148 papers, 4.4k citations indexed

About

Ignace T. C. Hooge is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ignace T. C. Hooge has authored 148 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Cognitive Neuroscience, 57 papers in Human-Computer Interaction and 36 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ignace T. C. Hooge's work include Visual perception and processing mechanisms (60 papers), Gaze Tracking and Assistive Technology (57 papers) and Visual Attention and Saliency Detection (30 papers). Ignace T. C. Hooge is often cited by papers focused on Visual perception and processing mechanisms (60 papers), Gaze Tracking and Assistive Technology (57 papers) and Visual Attention and Saliency Detection (30 papers). Ignace T. C. Hooge collaborates with scholars based in Netherlands, Sweden and Germany. Ignace T. C. Hooge's co-authors include Roy S. Hessels, Casper J. Erkelens, Chantal Kemner, Marcus Nyström, Diederick C. Niehorster, Richard Andersson, Gijs A. Holleman, Tim Cornelissen, Kenneth Holmqvist and Eelco A. B. Over and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Ignace T. C. Hooge

143 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignace T. C. Hooge Netherlands 38 2.5k 1.6k 831 700 548 148 4.4k
Marcus Nyström Sweden 30 1.9k 0.7× 2.7k 1.7× 1.1k 1.4× 965 1.4× 699 1.3× 119 5.8k
Iain D. Gilchrist United Kingdom 40 4.1k 1.6× 886 0.6× 1.5k 1.8× 794 1.1× 548 1.0× 176 5.7k
Stephen L. Macknik United States 41 4.7k 1.8× 846 0.5× 520 0.6× 553 0.8× 689 1.3× 140 6.7k
Stefan Van der Stigchel Netherlands 41 4.5k 1.8× 654 0.4× 472 0.6× 1.2k 1.8× 740 1.4× 260 5.8k
Susana Martínez‐Conde United States 39 3.9k 1.5× 748 0.5× 426 0.5× 485 0.7× 692 1.3× 128 6.1k
John M. Findlay United Kingdom 40 5.8k 2.3× 1.0k 0.7× 1.2k 1.4× 1.3k 1.8× 624 1.1× 128 7.1k
Tom Foulsham United Kingdom 32 2.6k 1.0× 902 0.6× 1.3k 1.6× 1.0k 1.4× 1.0k 1.9× 105 4.6k
Roy S. Hessels Netherlands 27 1.0k 0.4× 1.0k 0.6× 322 0.4× 339 0.5× 338 0.6× 77 2.2k
Sebastiaan Mathôt Netherlands 26 3.1k 1.2× 574 0.4× 359 0.4× 1.2k 1.7× 828 1.5× 75 4.5k
Benjamin W. Tatler United Kingdom 31 3.0k 1.2× 1.2k 0.8× 2.3k 2.7× 467 0.7× 637 1.2× 68 4.5k

Countries citing papers authored by Ignace T. C. Hooge

Since Specialization
Citations

This map shows the geographic impact of Ignace T. C. Hooge'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 Ignace T. C. Hooge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignace T. C. Hooge more than expected).

Fields of papers citing papers by Ignace T. C. Hooge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ignace T. C. Hooge. 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 Ignace T. C. Hooge. The network helps show where Ignace T. C. Hooge may publish in the future.

Co-authorship network of co-authors of Ignace T. C. Hooge

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

All Works

20 of 20 papers shown
1.
Niehorster, Diederick C., et al.. (2025). The best fixation target revisited: New insights from retinal eye tracking. Behavior Research Methods. 58(1). 2–2.
2.
Niehorster, Diederick C., Marcus Nyström, Roy S. Hessels, et al.. (2025). The fundamentals of eye tracking part 4: Tools for conducting an eye tracking study. Behavior Research Methods. 57(1). 46–46. 8 indexed citations
3.
Hooge, Ignace T. C., Roy S. Hessels, Diederick C. Niehorster, et al.. (2024). Eye tracker calibration: How well can humans refixate a target?. Behavior Research Methods. 57(1). 23–23. 10 indexed citations
4.
Hessels, Roy S., Diederick C. Niehorster, Pär Nyström, et al.. (2023). A field test of computer-vision-based gaze estimation in psychology. Behavior Research Methods. 56(3). 1900–1915. 9 indexed citations
5.
6.
Niehorster, Diederick C., Thiago Santini, Roy S. Hessels, et al.. (2019). When glasses slip : Data quality of mobile eye trackers during natural behavior. Lund University Publications (Lund University). 1 indexed citations
7.
Geest, Jos N. van der, et al.. (2019). Developmental changes in visual search are determined by changing visuospatial abilities and task repetition: A longitudinal study in adolescents. Applied Neuropsychology Child. 10(2). 133–143. 5 indexed citations
8.
Nyström, Marcus, Diederick C. Niehorster, Richard Andersson, & Ignace T. C. Hooge. (2018). Is the Tobii Pro Spectrum a useful tool for microsaccade researchers?. Lund University Publications (Lund University). 1 indexed citations
9.
Hooge, Ignace T. C., et al.. (2018). Does effective gaze behavior lead to enhanced performance in a complex error-detection cockpit task?. PLoS ONE. 13(11). e0207439–e0207439. 22 indexed citations
10.
Niehorster, Diederick C., Tim Cornelissen, Kenneth Holmqvist, Ignace T. C. Hooge, & Roy S. Hessels. (2017). What to expect from your remote eye-tracker when participants are unrestrained. Journal of Eye Movement Research. 10(6). 271–271. 3 indexed citations
11.
Nyström, Marcus, Ignace T. C. Hooge, & Richard Andersson. (2016). Pupil size influences the eye-tracker signal during saccades. Vision Research. 121. 95–103. 47 indexed citations
12.
Laan, Laura Nynke van der, Esther K. Papies, Ignace T. C. Hooge, & Paul A.M. Smeets. (2016). Goal-directed visual attention drives health goal priming: An eye-tracking experiment.. Health Psychology. 36(1). 82–90. 73 indexed citations
13.
Hooge, Ignace T. C., Marcus Nyström, Tim Cornelissen, & Kenneth Holmqvist. (2015). The art of braking: Post saccadic oscillations in the eye tracker signal decrease with increasing saccade size. Vision Research. 112. 55–67. 38 indexed citations
14.
Hooge, Ignace T. C., Marcus Nyström, Tim Cornelissen, & Kenneth Holmqvist. (2013). Properties of post-saccadic oscillations induced by eye trackers. Journal of Eye Movement Research. 6(3). 252–252. 1 indexed citations
15.
Benjamins, Jeroen S., et al.. (2009). Search time critically depends on irrelevant subset size in visual search. Vision Research. 49(3). 398–406. 3 indexed citations
16.
Souman, Jan L., Ignace T. C. Hooge, & Alexander H. Wertheim. (2005). Perceived motion direction during smooth pursuit eye movements. Experimental Brain Research. 164(3). 376–386. 24 indexed citations
17.
Souman, Jan L., Ignace T. C. Hooge, & A. H. Wertheim. (2004). How smooth pursuit eye movements affect the perceived direction and speed of moving objects.. MPG.PuRe (Max Planck Society). 1 indexed citations
18.
Hooge, Ignace T. C., et al.. (2002). Stimulus density does not affect saccadic search performance. Perception. 31. 0–0. 3 indexed citations
19.
Hooge, Ignace T. C., et al.. (2000). Question: Do (small) eye-movements explain the percept of motion under attentive tracking conditions? Answer: No!. Investigative Ophthalmology & Visual Science. 41. 1 indexed citations
20.
Hooge, Ignace T. C., Jaap A. Beintema, & A. V. van den Berg. (1999). Visual search of heading direction. Experimental Brain Research. 129(4). 615–628. 32 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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