Gael F. Close
- Electrical and Electronic Engineering top 10%
- Materials Chemistry top 10%
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics
- Computer Networks and Communications top 10%
- Co-authors
- H.‐S. Philip WongBipul C. PaulShinobu FujitaShinichi YasudaDeji AkinwandeC. LamEvangelos EleftheriouM. Breitwisch
- Topics
- Carbon Nanotubes in Composites (12 papers)Graphene research and applications (8 papers)Magnetic Field Sensors Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaNano LettersIEEE Access
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Gael F. Close
28 papers receiving 710 citations
Peers
Comparison fields: 5 of 48
- Electrical and Electronic Engineering 498
- Materials Chemistry 472
- Biomedical Engineering 195
- Atomic and Molecular Physics, and Optics 97
- Computer Networks and Communications 70
Countries citing papers authored by Gael F. Close
This map shows the geographic impact of Gael F. Close'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 Gael F. Close with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gael F. Close more than expected).
Fields of papers citing papers by Gael F. Close
This network shows the impact of papers produced by Gael F. Close. 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 Gael F. Close. The network helps show where Gael F. Close may publish in the future.
Co-authorship network of co-authors of Gael F. Close
This figure shows the co-authorship network connecting the top 25 collaborators of Gael F. Close. A scholar is included among the top collaborators of Gael F. Close 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 Gael F. Close. Gael F. Close 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 28 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | Model-based progressive design and verification of an integrated CMOS magnetic sensor for automotive applications | 1 |
| 11 | A 512Mb phase-change memory (PCM) in 90nm CMOS achieving 2b/cell | 13 |
| 12 | 30 | |
| 13 | 93 | |
| 14 | Experimental Demonstration and Characterization of on-chip high speed graphene interconnects | 1 |
| 15 | 109 | |
| 16 | 15 | |
| 17 | 20 | |
| 18 | 35 | |
| 19 | 14 | |
| 20 | 3 |
About Gael F. Close
Gael F. Close is a scholar working on Computer Networks and Communications, Materials Chemistry and Electrical and Electronic Engineering, having authored 32 papers that have together received 749 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (12 papers), Graphene research and applications (8 papers) and Magnetic Field Sensors Techniques (8 papers). The work is most often cited by research in Materials Chemistry (472 citations), Electrical and Electronic Engineering (498 citations) and Hardware and Architecture (43 citations). Gael F. Close has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include H.‐S. Philip Wong, Bipul C. Paul, Shinobu Fujita, Shinichi Yasuda, Deji Akinwande, C. Lam, Evangelos Eleftheriou, M. Breitwisch, S. Yasuda and Kyeong-Jae Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and IEEE Access.
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.