Houman Safaai
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Nuclear and High Energy Physics
- Co-authors
- Stefano PanzeriChristopher D. HarveyStanislas DehaeneBruno DagninoPieter R. RoelfsemaMathew E. DiamondMonica MoroniPietro Antonio Grassi
- Topics
- Neural dynamics and brain function (14 papers)Neuroscience and Neural Engineering (7 papers)Neuroscience and Neuropharmacology Research (6 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Houman Safaai
16 papers receiving 751 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 644
- Cellular and Molecular Neuroscience 292
- Electrical and Electronic Engineering 73
- Statistical and Nonlinear Physics 59
- Nuclear and High Energy Physics 58
Countries citing papers authored by Houman Safaai
This map shows the geographic impact of Houman Safaai'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 Houman Safaai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Houman Safaai more than expected).
Fields of papers citing papers by Houman Safaai
This network shows the impact of papers produced by Houman Safaai. 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 Houman Safaai. The network helps show where Houman Safaai may publish in the future.
Co-authorship network of co-authors of Houman Safaai
This figure shows the co-authorship network connecting the top 25 collaborators of Houman Safaai. A scholar is included among the top collaborators of Houman Safaai 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 Houman Safaai. Houman Safaai 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 | 19 | |
| 3 | 96 | |
| 4 | 226 | |
| 5 | 15 | |
| 6 | 20 | |
| 7 | Quantifying how much sensory information in a neural code is relevant for behavior | 7 |
| 8 | 40 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 54 | |
| 12 | 110 | |
| 13 | 54 | |
| 14 | 1 | |
| 15 | 47 | |
| 16 | Exploring Pure Spinor String Theory on $AdS_4\times \mathbb{CP}^3$ | 2 |
| 17 | 57 |
About Houman Safaai
Houman Safaai is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 17 papers that have together received 761 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Neuroscience and Neural Engineering (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cognitive Neuroscience (644 citations), Cellular and Molecular Neuroscience (292 citations) and Sensory Systems (39 citations). Houman Safaai has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Stefano Panzeri, Christopher D. Harvey, Stanislas Dehaene, Bruno Dagnino, Pieter R. Roelfsema, Mathew E. Diamond, Monica Moroni, Pietro Antonio Grassi, Giulio Bonelli and Giuseppe Notaro. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.