Anders Lansner
- Toxicology top 0.1%
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 92
- Memory and Neural Mechanisms 20
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 23
- Neuroscience and Neural Engineering 22
- Neurobiology and Insect Physiology Research 19
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications 25
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- Advanced Memory and Neural Computing 56
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- Neural Networks and Applications 34
Anders Lansner
154 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Toxicology 704
- Cognitive Neuroscience 2.9k
- Cellular and Molecular Neuroscience 1.9k
- Cell Biology 955
- Endocrine and Autonomic Systems 215
Countries citing papers authored by Anders Lansner
This map shows the geographic impact of Anders Lansner'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 Anders Lansner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders Lansner more than expected).
Fields of papers citing papers by Anders Lansner
This network shows the impact of papers produced by Anders Lansner. 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 Anders Lansner. The network helps show where Anders Lansner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anders Lansner, 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 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 6 | |
| 8 | 2020 | 28 | |
| 9 | 2016 | 25 | |
| 10 | 2013 | 12 | |
| 11 | 2012 | 17 | |
| 12 | 2011 | 2 | |
| 13 | 2007 | 49 | |
| 14 | Recognition of handwritten digits using sparse codes generated by local feature extraction methods | 2006 | 2 |
| 15 | Derivation of a reversible Hill equation with modifiers affecting catalytic properties | 2004 | 2 |
| 16 | 1998 | 16 | |
| 17 | Pulp quality modelling using Bayesian mixture density neural networks | 1996 | 4 |
| 18 | 1992 | 101 | |
| 19 | 1989 | 40 | |
| 20 | 1988 | 54 |
About Anders Lansner
Anders Lansner is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 165 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (92 papers), Advanced Memory and Neural Computing (56 papers), Neural Networks and Applications (34 papers), Zebrafish Biomedical Research Applications (25 papers), Neuroscience and Neuropharmacology Research (23 papers), Neuroscience and Neural Engineering (22 papers), Memory and Neural Mechanisms (20 papers) and Neurobiology and Insect Physiology Research (19 papers). The work is most often cited by research in Toxicology (704 citations), Cognitive Neuroscience (2.9k citations) and Cellular and Molecular Neuroscience (1.9k citations). Anders Lansner has collaborated with scholars based in Sweden, China and United Kingdom. Frequent co-authors include Sten Grillner, Örjan Ekeberg, P. Wallén, Roland Orre, Marie Lindquist, Andrew Bate, Lennart Brodin, I. Ralph Edwards, Sten Olsson and Rivelilson Mendes de Freitas. Their work appears in journals such as Neurocomputing, Network Computation in Neural Systems, Biological Cybernetics, BMC Neuroscience and Journal of Neurophysiology.
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.