Dietmar Heinke
- Cognitive Neuroscience top 2%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Glyn W. HumphreysDavid SotoManuel BlancoAhmad Abu‐AkelCarrie AllisonSimon Baron‐CohenGustavo DecoAndrew Olson
- Topics
- Neural and Behavioral Psychology Studies (35 papers)Visual perception and processing mechanisms (33 papers)Neural dynamics and brain function (13 papers)
- Partner nations
- United KingdomSpainGermany
In The Last Decade
Dietmar Heinke
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 1.2k
- Social Psychology 245
- Experimental and Cognitive Psychology 235
- Computer Vision and Pattern Recognition 184
- Human-Computer Interaction 85
Countries citing papers authored by Dietmar Heinke
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 11 | |
| 4 | 13 | |
| 5 | 25 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 15 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 28 | |
| 14 | The Selective Attention for Identification Model (SAIM): Simulating visual search in natural colour images | 1 |
| 15 | 34 | |
| 16 | Modeling grouping through interactions between top-down and bottom-up processes: The Grouping and Selective Attention for Identification model (G-SAIM) | 3 |
| 17 | 140 | |
| 18 | 101 | |
| 19 | 28 | |
| 20 | Connectionist models in cognitive neuroscience : the 5th Neural Computation and Psychology Workshop, Birmingham, 8-10 September 1998 | 4 |
About Dietmar Heinke
Dietmar Heinke is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Social Psychology, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (35 papers), Visual perception and processing mechanisms (33 papers) and Neural dynamics and brain function (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), General Decision Sciences (38 citations) and Experimental and Cognitive Psychology (235 citations). Dietmar Heinke has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Glyn W. Humphreys, David Soto, Manuel Blanco, Ahmad Abu‐Akel, Carrie Allison, Simon Baron‐Cohen, Gustavo Deco, Andrew Olson, François Osiurak and Andreas Backhaus. Their work appears in journals such as NeuroImage, Psychological Review and American Psychologist.
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.