Fernando Brücher
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
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- Regulation of Appetite and Obesity
Papers in
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- Neuroscience and Neuropharmacology Research 8
- Neuroscience and Neural Engineering 3
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- Neural dynamics and brain function 8
- Memory and Neural Mechanisms 3
- Co-authors
- GARY S. LYNCH (10 shared papers)Hartwig Adam (3 shared papers)Yan-Tao Zheng (2 shared papers)Hartmut Neven (2 shared papers)Tat-Seng Chua (2 shared papers)Alessandro Bissacco (2 shared papers)Steven Hsesheng Lin (1 shared paper)Olivier Civelli (1 shared paper)
- Journals
- Journal of Neurophysiology (3 papers)Brain Research (2 papers)Journal of Neuroscience (2 papers)Neuron (1 paper)Neurocomputing (1 paper)
- Partner nations
- United StatesSingaporeSlovenia
In The Last Decade
Fernando Brücher
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Cellular and Molecular Neuroscience 614
- Endocrine and Autonomic Systems 173
- Cognitive Neuroscience 440
- Behavioral Neuroscience 56
- Developmental Neuroscience 63
Countries citing papers authored by Fernando Brücher
This map shows the geographic impact of Fernando Brücher'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 Fernando Brücher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Brücher more than expected).
Fields of papers citing papers by Fernando Brücher
This network shows the impact of papers produced by Fernando Brücher. 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 Fernando Brücher. The network helps show where Fernando Brücher may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Brücher, 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 | 2004 | 452 | |
| 2 | 2009 | 282 | |
| 3 | 2005 | 150 | |
| 4 | 2000 | 113 | |
| 5 | 2003 | 86 | |
| 6 | 2009 | 81 | |
| 7 | 2004 | 64 | |
| 8 | 2019 | 43 | |
| 9 | 2002 | 24 | |
| 10 | 2002 | 22 | |
| 11 | 2002 | 13 | |
| 12 | 2004 | 13 | |
| 13 | 2001 | 6 | |
| 14 | 1997 | 1 |
About Fernando Brücher
Fernando Brücher is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Developmental Neuroscience and Geography, Planning and Development, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Advanced Image and Video Retrieval Techniques (3 papers), Neuroscience and Neural Engineering (3 papers), Memory and Neural Mechanisms (3 papers), Robotics and Sensor-Based Localization (2 papers), Image Retrieval and Classification Techniques (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (614 citations), Endocrine and Autonomic Systems (173 citations), Cognitive Neuroscience (440 citations), Behavioral Neuroscience (56 citations) and Developmental Neuroscience (63 citations). Fernando Brücher has collaborated with scholars based in United States, Singapore and Slovenia. Frequent co-authors include GARY S. LYNCH, Hartwig Adam, Yan-Tao Zheng, Hartmut Neven, Tat-Seng Chua, Alessandro Bissacco, Steven Hsesheng Lin, Olivier Civelli, Steven J. Henriksen and Zhiwei Wang. Their work appears in journals such as Journal of Neurophysiology, Brain Research, Journal of Neuroscience, Neuron and Neurocomputing.
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.