Alexander Nelson
- Molecular Biology top 5%
- Materials Chemistry top 5%
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Demis HassabisPushmeet KohliJames KirkpatrickStig PetersenDavid SilverAndrew SeniorChongli QinJohn Jumper
- Topics
- Protein Structure and Dynamics (3 papers)Reading and Literacy Development (2 papers)Neurobiology of Language and Bilingualism (2 papers)
- Journals
- NatureScienceNature Physics
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Alexander Nelson
7 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 1.5k
- Materials Chemistry 841
- Computational Theory and Mathematics 463
- Artificial Intelligence 288
- Atomic and Molecular Physics, and Optics 169
Countries citing papers authored by Alexander Nelson
This map shows the geographic impact of Alexander Nelson'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 Alexander Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Nelson more than expected).
Fields of papers citing papers by Alexander Nelson
This network shows the impact of papers produced by Alexander Nelson. 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 Alexander Nelson. The network helps show where Alexander Nelson may publish in the future.
Co-authorship network of co-authors of Alexander Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Nelson. A scholar is included among the top collaborators of Alexander Nelson 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 Alexander Nelson. Alexander Nelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pushing the frontiers of density functionals by solving the fractional electron problembreakdown → | 243 |
| 2 | Unveiling the predictive power of static structure in glassy systemsbreakdown → | 230 |
| 3 | Improved protein structure prediction using potentials from deep learningbreakdown → | 2026 |
| 4 | 1 | |
| 5 | Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)breakdown → | 208 |
| 6 | Principles Of Agricultural Botany | 0 |
| 7 | 31 | |
| 8 | 1 |
About Alexander Nelson
Alexander Nelson is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Materials Chemistry, having authored 8 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Reading and Literacy Development (2 papers) and Neurobiology of Language and Bilingualism (2 papers). The work is most often cited by research in Health Informatics (56 citations), Computational Theory and Mathematics (463 citations) and Molecular Biology (1.5k citations). Alexander Nelson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Demis Hassabis, Pushmeet Kohli, James Kirkpatrick, Stig Petersen, David Silver, Andrew Senior, Chongli Qin, John Jumper, Karen Simonyan and David T. Jones. Their work appears in journals such as Nature, Science and Nature Physics.
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.