Fatemeh Kiani
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Polymers and Plastics
- Artificial Intelligence
- Co-authors
- Qiangfei XiaJ. Joshua YangZhongrui WangRivu MidyaNavnidhi K. UpadhyayMingyi RaoWenhao SongYe Zhuo
- Topics
- Advanced Memory and Neural Computing (8 papers)Neural dynamics and brain function (5 papers)Photoreceptor and optogenetics research (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesHong KongSingapore
In The Last Decade
Fatemeh Kiani
8 papers receiving 458 citations
Hit Papers
Peers
Comparison fields: 5 of 35
- Electrical and Electronic Engineering 441
- Cellular and Molecular Neuroscience 225
- Cognitive Neuroscience 147
- Polymers and Plastics 86
- Artificial Intelligence 81
Countries citing papers authored by Fatemeh Kiani
This map shows the geographic impact of Fatemeh Kiani'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 Fatemeh Kiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatemeh Kiani more than expected).
Fields of papers citing papers by Fatemeh Kiani
This network shows the impact of papers produced by Fatemeh Kiani. 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 Fatemeh Kiani. The network helps show where Fatemeh Kiani may publish in the future.
Co-authorship network of co-authors of Fatemeh Kiani
This figure shows the co-authorship network connecting the top 25 collaborators of Fatemeh Kiani. A scholar is included among the top collaborators of Fatemeh Kiani 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 Fatemeh Kiani. Fatemeh Kiani 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 | 19 | |
| 3 | 35 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 60 | |
| 7 | 28 | |
| 8 | An artificial spiking afferent nerve based on Mott memristors for neuroroboticsbreakdown → | 321 |
About Fatemeh Kiani
Fatemeh Kiani is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 8 papers that have together received 470 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (5 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (225 citations), Electrical and Electronic Engineering (441 citations) and Cognitive Neuroscience (147 citations). Fatemeh Kiani has collaborated with scholars based in United States, Hong Kong and Singapore. Frequent co-authors include Qiangfei Xia, J. Joshua Yang, Zhongrui Wang, Rivu Midya, Navnidhi K. Upadhyay, Mingyi Rao, Wenhao Song, Ye Zhuo, Yilin Fang and Xumeng Zhang. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.
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.