Tiago Ramalho
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Agnieszka Grabska‐BarwińskaDemis HassabisKieran MilanJames KirkpatrickNeil C. RabinowitzDharshan KumaranRaia HadsellGuillaume Desjardins
- Topics
- Neural Networks and Applications (2 papers)Bacterial Genetics and Biotechnology (2 papers)Gene Regulatory Network Analysis (2 papers)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Tiago Ramalho
9 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 3.1k
- Computer Vision and Pattern Recognition 1.6k
- Electrical and Electronic Engineering 423
- Cognitive Neuroscience 294
- Radiology, Nuclear Medicine and Imaging 250
Countries citing papers authored by Tiago Ramalho
This map shows the geographic impact of Tiago Ramalho'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 Tiago Ramalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiago Ramalho more than expected).
Fields of papers citing papers by Tiago Ramalho
This network shows the impact of papers produced by Tiago Ramalho. 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 Tiago Ramalho. The network helps show where Tiago Ramalho may publish in the future.
Co-authorship network of co-authors of Tiago Ramalho
This figure shows the co-authorship network connecting the top 25 collaborators of Tiago Ramalho. A scholar is included among the top collaborators of Tiago Ramalho 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 Tiago Ramalho. Tiago Ramalho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | Learning to encode spatial relations from natural language | 2 |
| 4 | Overcoming catastrophic forgetting in neural networksbreakdown → | 3594 |
| 5 | 17 | |
| 6 | Hybrid computing using a neural network with dynamic external memorybreakdown → | 683 |
| 7 | 11 | |
| 8 | 48 | |
| 9 | 6 |
About Tiago Ramalho
Tiago Ramalho is a scholar working on Endocrinology, Geography, Planning and Development and Biophysics, having authored 9 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Computer Vision and Pattern Recognition (1.6k citations) and Health Informatics (40 citations). Tiago Ramalho has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Agnieszka Grabska‐Barwińska, Demis Hassabis, Kieran Milan, James Kirkpatrick, Neil C. Rabinowitz, Dharshan Kumaran, Raia Hadsell, Guillaume Desjardins, John Quan and Andrei A. Rusu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.
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.