Adrian Diaz‐Alvarez
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Co-authors
- Tomonobu NakayamaZdenka KuncicAlon LoefflerRuomin ZhuJoel HochstetterYoshitaka ShingayaRintaro HiguchiAdam Z. Stieg
- Topics
- Advanced Memory and Neural Computing (12 papers)Neural dynamics and brain function (11 papers)Neural Networks and Reservoir Computing (5 papers)
- Cited by
- Cognitive NeuroscienceElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Adrian Diaz‐Alvarez
16 papers receiving 566 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 522
- Cognitive Neuroscience 276
- Artificial Intelligence 260
- Cellular and Molecular Neuroscience 151
- Biomedical Engineering 57
Countries citing papers authored by Adrian Diaz‐Alvarez
This map shows the geographic impact of Adrian Diaz‐Alvarez'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 Adrian Diaz‐Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Diaz‐Alvarez more than expected).
Fields of papers citing papers by Adrian Diaz‐Alvarez
This network shows the impact of papers produced by Adrian Diaz‐Alvarez. 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 Adrian Diaz‐Alvarez. The network helps show where Adrian Diaz‐Alvarez may publish in the future.
Co-authorship network of co-authors of Adrian Diaz‐Alvarez
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Diaz‐Alvarez. A scholar is included among the top collaborators of Adrian Diaz‐Alvarez 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 Adrian Diaz‐Alvarez. Adrian Diaz‐Alvarez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 124 | |
| 3 | 23 | |
| 4 | 37 | |
| 5 | 9 | |
| 6 | 29 | |
| 7 | 15 | |
| 8 | 28 | |
| 9 | 39 | |
| 10 | 15 | |
| 11 | 42 | |
| 12 | 8 | |
| 13 | 107 | |
| 14 | 13 | |
| 15 | 9 | |
| 16 | 27 |
About Adrian Diaz‐Alvarez
Adrian Diaz‐Alvarez is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 16 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Neural dynamics and brain function (11 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Cognitive Neuroscience (276 citations), Electrical and Electronic Engineering (522 citations) and Cellular and Molecular Neuroscience (151 citations). Adrian Diaz‐Alvarez has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Tomonobu Nakayama, Zdenka Kuncic, Alon Loeffler, Ruomin Zhu, Joel Hochstetter, Yoshitaka Shingaya, Rintaro Higuchi, Adam Z. Stieg, James K. Gimzewski and James M. Shine. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and Nano Letters.
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.