Dietmar Heinke

2.0k total citations
59 papers, 1.4k citations indexed

About

Dietmar Heinke is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dietmar Heinke has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 10 papers in Social Psychology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dietmar Heinke's work include Neural and Behavioral Psychology Studies (35 papers), Visual perception and processing mechanisms (33 papers) and Neural dynamics and brain function (13 papers). Dietmar Heinke is often cited by papers focused on Neural and Behavioral Psychology Studies (35 papers), Visual perception and processing mechanisms (33 papers) and Neural dynamics and brain function (13 papers). Dietmar Heinke collaborates with scholars based in United Kingdom, Spain and Germany. Dietmar Heinke's co-authors include Glyn W. Humphreys, David Soto, Manuel Blanco, Ahmad Abu‐Akel, Gustavo Deco, Simon Baron‐Cohen, Carrie Allison, François Osiurak, Andrew Olson and Andreas Backhaus and has published in prestigious journals such as NeuroImage, Psychological Review and American Psychologist.

In The Last Decade

Dietmar Heinke

56 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dietmar Heinke United Kingdom 17 1.2k 245 235 184 85 59 1.4k
Julie D. Golomb United States 21 1.8k 1.6× 248 1.0× 448 1.9× 208 1.1× 121 1.4× 65 2.2k
Michael Zehetleitner Germany 26 1.6k 1.4× 239 1.0× 406 1.7× 300 1.6× 62 0.7× 54 2.0k
Johan Hulleman United Kingdom 20 969 0.8× 160 0.7× 248 1.1× 165 0.9× 75 0.9× 52 1.2k
Jun Saiki Japan 17 688 0.6× 154 0.6× 207 0.9× 111 0.6× 40 0.5× 91 860
Taosheng Liu United States 27 2.1k 1.8× 276 1.1× 422 1.8× 194 1.1× 36 0.4× 77 2.4k
Casimir J. H. Ludwig United Kingdom 23 1.4k 1.2× 163 0.7× 341 1.5× 238 1.3× 137 1.6× 55 1.7k
Xun He United Kingdom 16 635 0.5× 249 1.0× 279 1.2× 98 0.5× 53 0.6× 42 992
Roy Luria Israel 23 1.4k 1.2× 251 1.0× 389 1.7× 51 0.3× 49 0.6× 64 1.7k
Nuala Brady Ireland 19 1.1k 0.9× 317 1.3× 312 1.3× 232 1.3× 50 0.6× 44 1.4k
Adriane E. Seiffert United States 14 1.6k 1.4× 185 0.8× 290 1.2× 120 0.7× 102 1.2× 34 1.8k

Countries citing papers authored by Dietmar Heinke

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Heinke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dietmar Heinke

This figure shows the co-authorship network connecting the top 25 collaborators of Dietmar Heinke. A scholar is included among the top collaborators of Dietmar Heinke 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 Dietmar Heinke. Dietmar Heinke 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.
Standage, Dominic, Corson N. Areshenkoff, Joseph Y. Nashed, et al.. (2020). Dynamic Reconfiguration, Fragmentation, and Integration of Whole-Brain Modular Structure across Depths of Unconsciousness. Cerebral Cortex. 30(10). 5229–5241. 11 indexed citations
2.
Heinke, Dietmar, et al.. (2020). Museum robot guides or conventional audio guides? An experimental study. Advanced Robotics. 34(24). 1571–1580. 13 indexed citations
3.
Heinke, Dietmar, et al.. (2019). Human Interaction and Improving Knowledge through Collaborative Tour Guide Robots. 1–7. 16 indexed citations
4.
Abu‐Akel, Ahmad, Carrie Allison, Simon Baron‐Cohen, & Dietmar Heinke. (2019). The distribution of autistic traits across the autism spectrum: evidence for discontinuous dimensional subpopulations underlying the autism continuum. Molecular Autism. 10(1). 24–24. 64 indexed citations
5.
Osiurak, François & Dietmar Heinke. (2018). Looking for intoolligence: A unified framework for the cognitive study of human tool use and technology.. American Psychologist. 73(2). 169–185. 25 indexed citations
6.
Xu, Shan, Glyn W. Humphreys, & Dietmar Heinke. (2015). Implied actions between paired objects lead to affordance selection by inhibition.. Journal of Experimental Psychology Human Perception & Performance. 41(4). 1021–1036. 12 indexed citations
7.
Strauss, Soeren, et al.. (2015). Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information. Neural Networks. 72. 3–12. 17 indexed citations
8.
Zhao, Yuanyuan & Dietmar Heinke. (2014). What causes IOR? Attention or perception? – Manipulating cue and target luminance in either blocked or mixed condition. Vision Research. 105. 37–46. 5 indexed citations
9.
Heinke, Dietmar, et al.. (2013). Top-down guidance of eye movements in conjunction search. Vision Research. 79. 36–46. 5 indexed citations
10.
Zhao, Yuanyuan, Glyn W. Humphreys, & Dietmar Heinke. (2012). A biased-competition approach to spatial cueing: Combining empirical studies and computational modelling. Visual Cognition. 20(2). 170–210. 5 indexed citations
11.
Heinke, Dietmar, et al.. (2011). Bridging the gap between physiology and behavior: Evidence from the sSoTS model of human visual attention.. Psychological Review. 118(1). 3–41. 15 indexed citations
12.
Heinke, Dietmar, et al.. (2011). Bottom-up guidance to grouped items in conjunction search: Evidence for color grouping. Vision Research. 52(1). 88–96. 4 indexed citations
13.
Heinke, Dietmar, Andreas Backhaus, Yaoru Sun, & Glyn W. Humphreys. (2007). The Selective Attention for Identification Model (SAIM): Simulating visual search in natural colour images. Lecture notes in computer science. 141–154. 1 indexed citations
14.
Deco, Gustavo & Dietmar Heinke. (2007). Attention and Spatial Resolution: A Theoretical and Experimental Study of Visual Search in Hierarchical Patterns. Perception. 36(3). 335–354. 7 indexed citations
15.
Heinke, Dietmar, Yaoru Sun, & Glyn W. Humphreys. (2005). Modeling grouping through interactions between top-down and bottom-up processes: The Grouping and Selective Attention for Identification model (G-SAIM). Lecture notes in computer science. 3368. 148–158. 3 indexed citations
16.
Soto, David, Glyn W. Humphreys, & Dietmar Heinke. (2005). Working memory can guide pop-out search. Vision Research. 46(6-7). 1010–1018. 140 indexed citations
17.
Soto, David, Dietmar Heinke, Glyn W. Humphreys, & Manuel Blanco. (2005). Early, Involuntary Top-Down Guidance of Attention From Working Memory.. Journal of Experimental Psychology Human Perception & Performance. 31(2). 248–261. 449 indexed citations
18.
19.
Olivers, Christian N. L., Glyn W. Humphreys, Dietmar Heinke, & Adam Cooper. (2002). Prioritization in visual search: Visual marking is not dependent on a mnemonic search. Perception & Psychophysics. 64(4). 540–560. 28 indexed citations
20.
Heinke, Dietmar, Glyn W. Humphreys, & Andrew Olson. (1999). Connectionist models in cognitive neuroscience : the 5th Neural Computation and Psychology Workshop, Birmingham, 8-10 September 1998. Springer eBooks. 4 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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