Micha Heilbron

2.3k total citations · 2 hit papers
11 papers, 1.0k citations indexed

About

Micha Heilbron is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Micha Heilbron has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Developmental and Educational Psychology. Recurrent topics in Micha Heilbron's work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (6 papers) and Neuroscience and Music Perception (3 papers). Micha Heilbron is often cited by papers focused on Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (6 papers) and Neuroscience and Music Perception (3 papers). Micha Heilbron collaborates with scholars based in Netherlands, France and United Kingdom. Micha Heilbron's co-authors include Floris P. de Lange, Peter Kok, Maria Chait, Peter Hagoort, Jan‐Mathijs Schoffelen, Kristijan Armeni, Florent Meyniel, David Richter, Stefan Van der Stigchel and Surya Gayet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Trends in Cognitive Sciences.

In The Last Decade

Micha Heilbron

11 papers receiving 1.0k 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.

How Do Expectations Shape Perception?

2018 522 citations Floris P. de Lange, Micha Heilbron et al. Trends in Cognitive Sciences profile →
A hierarchy of linguistic predictions during natural language comprehension

2022 153 citations Micha Heilbron, Kristijan Armeni et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Micha Heilbron Netherlands	9	852	221	132	86	78	11	1.0k
Yuan Chang Leong United States	10	915 1.1×	214 1.0×	161 1.2×	122 1.4×	86 1.1×	21	1.2k
Tijl Grootswagers Australia	16	883 1.0×	156 0.7×	133 1.0×	62 0.7×	58 0.7×	45	1.0k
Jess Rowland United States	8	697 0.8×	132 0.6×	274 2.1×	112 1.3×	39 0.5×	13	894
Ignacio Vallines Germany	7	908 1.1×	170 0.8×	150 1.1×	51 0.6×	58 0.7×	10	1.1k
Jona Sassenhagen Germany	13	703 0.8×	209 0.9×	87 0.7×	245 2.8×	60 0.8×	19	817
Ariel Zylberberg United States	17	1.0k 1.2×	156 0.7×	110 0.8×	73 0.8×	82 1.1×	31	1.2k
Ayelet N. Landau Israel	18	1.2k 1.4×	277 1.3×	104 0.8×	104 1.2×	46 0.6×	48	1.4k
Michael S. Pratte United States	20	1.3k 1.5×	280 1.3×	183 1.4×	118 1.4×	120 1.5×	34	1.5k
Andrey R. Nikolaev Belgium	21	1.1k 1.3×	150 0.7×	139 1.1×	56 0.7×	66 0.8×	65	1.3k
Michael Pitts United States	24	1.5k 1.8×	223 1.0×	145 1.1×	168 2.0×	94 1.2×	41	1.8k

Countries citing papers authored by Micha Heilbron

Since Specialization

Citations

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

Fields of papers citing papers by Micha Heilbron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micha Heilbron

This figure shows the co-authorship network connecting the top 25 collaborators of Micha Heilbron. A scholar is included among the top collaborators of Micha Heilbron 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 Micha Heilbron. Micha Heilbron 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:

11 of 11 papers shown

1.

Heilbron, Micha, et al.. (2023). Lexical Processing Strongly Affects Reading Times But Not Skipping During Natural Reading. Open Mind. 7. 757–783. 9 indexed citations

2.

Lange, Floris P. de, et al.. (2022). Reconstructing the predictive architecture of the mind and brain. Trends in Cognitive Sciences. 26(12). 1018–1019. 5 indexed citations

3.

Kern, P, Micha Heilbron, Floris P. de Lange, & Eelke Spaak. (2022). Cortical activity during naturalistic music listening reflects short-range predictions based on long-term experience. eLife. 11. 14 indexed citations

4.

Richter, David, Micha Heilbron, & Floris P. de Lange. (2022). Dampened sensory representations for expected input across the ventral visual stream. PubMed. 1. kvac013–kvac013. 10 indexed citations

5.

Heilbron, Micha, Kristijan Armeni, Jan‐Mathijs Schoffelen, Peter Hagoort, & Floris P. de Lange. (2022). A hierarchy of linguistic predictions during natural language comprehension. Proceedings of the National Academy of Sciences. 119(32). e2201968119–e2201968119. 153 indexed citations breakdown →

6.

Heilbron, Micha, David Richter, Matthias Ekman, Peter Hagoort, & Floris P. de Lange. (2020). Word contexts enhance the neural representation of individual letters in early visual cortex. Nature Communications. 11(1). 321–321. 30 indexed citations

7.

Heilbron, Micha & Florent Meyniel. (2019). Confidence resets reveal hierarchical adaptive learning in humans. PLoS Computational Biology. 15(4). e1006972–e1006972. 27 indexed citations

8.

Lange, Floris P. de, Micha Heilbron, & Peter Kok. (2018). How Do Expectations Shape Perception?. Trends in Cognitive Sciences. 22(9). 764–779. 522 indexed citations breakdown →

9.

Paffen, Chris, Surya Gayet, Micha Heilbron, & Stefan Van der Stigchel. (2018). Attention-based perceptual learning does not affect access to awareness. Journal of Vision. 18(3). 7–7. 6 indexed citations

10.

Heilbron, Micha & Maria Chait. (2017). Great Expectations: Is there Evidence for Predictive Coding in Auditory Cortex?. Neuroscience. 389. 54–73. 230 indexed citations

11.

Gayet, Surya, Leendert van Maanen, Micha Heilbron, Chris Paffen, & Stefan Van der Stigchel. (2016). Visual input that matches the content of visual working memory requires less (not faster) evidence sampling to reach conscious access. Journal of Vision. 16(11). 26–26. 25 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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