Duncan Mortimer
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
-
- Axon Guidance and Neuronal Signaling
Papers in
-
- Axon Guidance and Neuronal Signaling 6
- Neurobiology and Insect Physiology Research 3
-
- Cellular Mechanics and Interactions 4
- Co-authors
- Geoffrey J. Goodhill (9 shared papers)Zac Pujic (4 shared papers)Tobias J. Osborne (3 shared papers)Jennifer L. Dodd (2 shared papers)Michael A. Nielsen (2 shared papers)Aram W. Harrow (2 shared papers)Alexei Gilchrist (2 shared papers)Christopher M. Dawson (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Neural Computation (2 papers)Combinatorial Chemistry & High Throughput Screening (1 paper)Physica D Nonlinear Phenomena (1 paper)Physical Review A (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Duncan Mortimer
12 papers receiving 652 citations
Peers
Comparison fields: 5 of 72
- Developmental Neuroscience 67
- Cellular and Molecular Neuroscience 227
- Artificial Intelligence 284
- Cell Biology 133
- Atomic and Molecular Physics, and Optics 251
Countries citing papers authored by Duncan Mortimer
This map shows the geographic impact of Duncan Mortimer'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 Duncan Mortimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan Mortimer more than expected).
Fields of papers citing papers by Duncan Mortimer
This network shows the impact of papers produced by Duncan Mortimer. 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 Duncan Mortimer. The network helps show where Duncan Mortimer may publish in the future.
Co-authors
The 25 scholars most cited alongside Duncan Mortimer, 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 | 2002 | 173 | |
| 2 | 2008 | 120 | |
| 3 | 2003 | 119 | |
| 4 | 2009 | 85 | |
| 5 | 2010 | 59 | |
| 6 | 2009 | 30 | |
| 7 | 2009 | 18 | |
| 8 | 2010 | 17 | |
| 9 | 2005 | 14 | |
| 10 | 2009 | 10 | |
| 11 | 2009 | 8 | |
| 12 | 2013 | 6 |
About Duncan Mortimer
Duncan Mortimer is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Artificial Intelligence, Biomedical Engineering and Molecular Biology, having authored 12 papers that have together received 659 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (6 papers), Cellular Mechanics and Interactions (4 papers), Neurobiology and Insect Physiology Research (3 papers), Quantum Computing Algorithms and Architecture (3 papers), 3D Printing in Biomedical Research (3 papers), Quantum Information and Cryptography (2 papers), Quantum Mechanics and Applications (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (67 citations), Cellular and Molecular Neuroscience (227 citations), Artificial Intelligence (284 citations), Cell Biology (133 citations) and Atomic and Molecular Physics, and Optics (251 citations). Duncan Mortimer has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Geoffrey J. Goodhill, Zac Pujic, Tobias J. Osborne, Jennifer L. Dodd, Michael A. Nielsen, Aram W. Harrow, Alexei Gilchrist, Christopher M. Dawson, Michael J. Bremner and Linda J. Richards. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neural Computation, Combinatorial Chemistry & High Throughput Screening, Physica D Nonlinear Phenomena and Physical Review A.
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.