Camilo Diaz-Botia
- Biomedical Engineering
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Molecular Biology
- Co-authors
- Polly M. FordyceJoseph L. DeRisiRafael Gómez-SjöbergPhilip N. SabesMichel M. MaharbizAzadeh Yazdan-ShahmoradPeter LedochowitschKurt S. Thorn
- Topics
- Neuroscience and Neural Engineering (8 papers)EEG and Brain-Computer Interfaces (4 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)
- Journals
- NeuronSHILAP Revista de lepidopterologíaPhysical Chemistry Chemical Physics
- Partner nations
- United StatesSwitzerland
In The Last Decade
Camilo Diaz-Botia
12 papers receiving 386 citations
Peers
Comparison fields: 5 of 57
- Biomedical Engineering 189
- Cellular and Molecular Neuroscience 166
- Electrical and Electronic Engineering 125
- Cognitive Neuroscience 90
- Molecular Biology 55
Countries citing papers authored by Camilo Diaz-Botia
This map shows the geographic impact of Camilo Diaz-Botia'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 Camilo Diaz-Botia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camilo Diaz-Botia more than expected).
Fields of papers citing papers by Camilo Diaz-Botia
This network shows the impact of papers produced by Camilo Diaz-Botia. 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 Camilo Diaz-Botia. The network helps show where Camilo Diaz-Botia may publish in the future.
Co-authorship network of co-authors of Camilo Diaz-Botia
This figure shows the co-authorship network connecting the top 25 collaborators of Camilo Diaz-Botia. A scholar is included among the top collaborators of Camilo Diaz-Botia 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 Camilo Diaz-Botia. Camilo Diaz-Botia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 50 | |
| 5 | 4 | |
| 6 | Silicon Carbide Technologies for Interfacing with the Nervous System | 2 |
| 7 | 71 | |
| 8 | 42 | |
| 9 | 48 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 53 | |
| 13 | 67 |
About Camilo Diaz-Botia
Camilo Diaz-Botia is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 13 papers that have together received 387 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (166 citations), Cognitive Neuroscience (90 citations) and Biomedical Engineering (189 citations). Camilo Diaz-Botia has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Polly M. Fordyce, Joseph L. DeRisi, Rafael Gómez-Sjöberg, Philip N. Sabes, Michel M. Maharbiz, Azadeh Yazdan-Shahmorad, Peter Ledochowitsch, Kurt S. Thorn, Timothy Hanson and Viktor Kharazia. Their work appears in journals such as Neuron, SHILAP Revista de lepidopterología and Physical Chemistry Chemical 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.