John M. Nichol
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Condensed Matter Physics
- Co-authors
- Guido BurkardJ. R. PettaThaddeus D. LaddAndrew PanElliot J. ConnorsJJ NelsonHaifeng QiaoEric R. Hemesath
- Topics
- Quantum and electron transport phenomena (23 papers)Semiconductor Quantum Structures and Devices (10 papers)Quantum Computing Algorithms and Architecture (9 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceElectrical and Electronic Engineering
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
John M. Nichol
36 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Atomic and Molecular Physics, and Optics 1.0k
- Artificial Intelligence 513
- Electrical and Electronic Engineering 479
- Materials Chemistry 125
- Condensed Matter Physics 58
Countries citing papers authored by John M. Nichol
This map shows the geographic impact of John M. Nichol'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 John M. Nichol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Nichol more than expected).
Fields of papers citing papers by John M. Nichol
This network shows the impact of papers produced by John M. Nichol. 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 John M. Nichol. The network helps show where John M. Nichol may publish in the future.
Co-authorship network of co-authors of John M. Nichol
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Nichol. A scholar is included among the top collaborators of John M. Nichol 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 John M. Nichol. John M. Nichol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | Semiconductor spin qubitsbreakdown → | 312 |
| 5 | 69 | |
| 6 | 0 | |
| 7 | 25 | |
| 8 | 41 | |
| 9 | 11 | |
| 10 | 13 | |
| 11 | 52 | |
| 12 | Rapid high-fidelity spin state readout in Si/SiGe quantum dots via radio-frequency reflectometry | 1 |
| 13 | Coherent multi-spin exchange in a quantum-dot spin chain | 3 |
| 14 | 96 | |
| 15 | 64 | |
| 16 | 56 | |
| 17 | 128 | |
| 18 | Nanoscale Fourier-transform MRI of spin noise | 1 |
| 19 | 36 | |
| 20 | 62 |
About John M. Nichol
John M. Nichol is a scholar working on Atomic and Molecular Physics, and Optics, Structural Biology and Artificial Intelligence, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (23 papers), Semiconductor Quantum Structures and Devices (10 papers) and Quantum Computing Algorithms and Architecture (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.0k citations), Artificial Intelligence (513 citations) and Electrical and Electronic Engineering (479 citations). John M. Nichol has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Guido Burkard, J. R. Petta, Thaddeus D. Ladd, Andrew Pan, Elliot J. Connors, JJ Nelson, Haifeng Qiao, Eric R. Hemesath, Lincoln J. Lauhon and Raffi Budakian. Their work appears in journals such as Nature, Physical Review Letters 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.