Guido Burkard
- Atomic and Molecular Physics, and Optics top 0.05%
- Quantum and electron transport phenomena 134
- Semiconductor Quantum Structures and Devices 44
- Mechanical and Optical Resonators 18
- Artificial Intelligence top 0.1%
- Quantum Information and Cryptography 71
- Quantum Computing Algorithms and Architecture 44
- Materials Chemistry top 1%
- Graphene research and applications 37
- Diamond and Carbon-based Materials Research 18
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- Advancements in Semiconductor Devices and Circuit Design 34
- Condensed Matter Physics top 2%
Guido Burkard
211 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Atomic and Molecular Physics, and Optics 10.0k
- Artificial Intelligence 4.9k
- Materials Chemistry 3.9k
- Electrical and Electronic Engineering 3.9k
- Condensed Matter Physics 719
Countries citing papers authored by Guido Burkard
This map shows the geographic impact of Guido Burkard'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 Guido Burkard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Burkard more than expected).
Fields of papers citing papers by Guido Burkard
This network shows the impact of papers produced by Guido Burkard. 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 Guido Burkard. The network helps show where Guido Burkard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guido Burkard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 29 | |
| 14 | The valley Zeeman effect in inter- and intra-valley trions in monolayer WSe<sub>2</sub> | 2019 | 26 |
| 15 | 2019 | 21 | |
| 16 | Resonantly driven CNOT gate for electron spinsbreakdown → | 2017 | 337 |
| 17 | Magnetic-field tunable antiferromagnetism of vacancies in graphene nanoflakes | 2014 | 1 |
| 18 | Quantum gates between capacitively coupled double quantum dot two-spin qubits | 2007 | 0 |
| 19 | Sawah First! The Cultural Ecology of Alang-Alang in a Rain Forest Margin Community | 2005 | 2 |
| 20 | Quantum information processing using electron spins and cavity-qed | 1999 | 2 |
About Guido Burkard
Guido Burkard is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry, having authored 221 papers that have together received 13.0k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (134 papers), Quantum Information and Cryptography (71 papers), Quantum Computing Algorithms and Architecture (44 papers), Semiconductor Quantum Structures and Devices (44 papers), Graphene research and applications (37 papers), Advancements in Semiconductor Devices and Circuit Design (34 papers), Diamond and Carbon-based Materials Research (18 papers) and Mechanical and Optical Resonators (18 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (10.0k citations), Artificial Intelligence (4.9k citations) and Materials Chemistry (3.9k citations). Guido Burkard has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Daniel Loss, David P. DiVincenzo, D. D. Awschalom, J. R. Petta, Björn Trauzettel, Andor Kormányos, Mark S. Sherwin, Alexandra Small, A. Imamog ̄lu and D. V. Bulaev. Their work appears in journals such as Physical Review B, Physical review. B., Physical Review Letters, Physical review. A and Physical Review Research.
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.