Ralf M. Haefner
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 17
- Visual perception and processing mechanisms 16
- Neural and Behavioral Psychology Studies 12
- Functional Brain Connectivity Studies 2
- Cognitive Science and Education Research 1
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- Neurobiology and Insect Physiology Research 3
- Sensory Systems top 10%
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- Multisensory perception and integration 3
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- Neural Networks and Applications 3
- Co-authors
- Bruce G. CummingJózsef FiserPietro BerkesAdrian BondySebastian GerwinnMatthias BethgeJakob H. MackeChristopher C. Pack
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Ralf M. Haefner
22 papers receiving 570 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 540
- Cellular and Molecular Neuroscience 150
- General Decision Sciences 15
- Sensory Systems 34
- Experimental and Cognitive Psychology 42
Countries citing papers authored by Ralf M. Haefner
This map shows the geographic impact of Ralf M. Haefner'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 Ralf M. Haefner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf M. Haefner more than expected).
Fields of papers citing papers by Ralf M. Haefner
This network shows the impact of papers produced by Ralf M. Haefner. 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 Ralf M. Haefner. The network helps show where Ralf M. Haefner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ralf M. Haefner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 5 | |
| 8 | Relating confidence judgements to temporal biases in perceptual decision-making | 2021 | 1 |
| 9 | 2021 | 23 | |
| 10 | How does the brain combine generative models and direct discriminative computations in high-level vision? | 2021 | 3 |
| 11 | 2020 | 1 | |
| 12 | 2019 | 3 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 89 | |
| 15 | 2017 | 16 | |
| 16 | 2016 | 118 | |
| 17 | 2015 | 29 | |
| 18 | 2013 | 110 | |
| 19 | 2011 | 25 | |
| 20 | 2008 | 42 |
About Ralf M. Haefner
Ralf M. Haefner is a scholar working on Cognitive Neuroscience, Developmental Biology and Experimental and Cognitive Psychology, having authored 25 papers that have together received 571 indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Visual perception and processing mechanisms (16 papers), Neural and Behavioral Psychology Studies (12 papers), Neural Networks and Applications (3 papers), Multisensory perception and integration (3 papers), Neurobiology and Insect Physiology Research (3 papers), Functional Brain Connectivity Studies (2 papers) and Cognitive Science and Education Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (540 citations), Cellular and Molecular Neuroscience (150 citations) and General Decision Sciences (15 citations). Ralf M. Haefner has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Bruce G. Cumming, József Fiser, Pietro Berkes, Adrian Bondy, Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke, Christopher C. Pack, Liu D. Liu and Richard T. Born. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.
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.