Konrad Kieling
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics
- Computational Theory and Mathematics
- Co-authors
- Jens EisertTerry RudolphAndrea MariB. Melholt NielsenE. S. PolzikMercedes Gimeno-SegoviaNaomi NickersonFernando Pastawski
- Topics
- Quantum Information and Cryptography (11 papers)Quantum Computing Algorithms and Architecture (7 papers)Neural Networks and Reservoir Computing (6 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Konrad Kieling
11 papers receiving 517 citations
Hit Papers
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 502
- Atomic and Molecular Physics, and Optics 359
- Electrical and Electronic Engineering 114
- Statistical and Nonlinear Physics 16
- Computational Theory and Mathematics 11
Countries citing papers authored by Konrad Kieling
This map shows the geographic impact of Konrad Kieling'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 Konrad Kieling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konrad Kieling more than expected).
Fields of papers citing papers by Konrad Kieling
This network shows the impact of papers produced by Konrad Kieling. 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 Konrad Kieling. The network helps show where Konrad Kieling may publish in the future.
Co-authorship network of co-authors of Konrad Kieling
This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Kieling. A scholar is included among the top collaborators of Konrad Kieling 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 Konrad Kieling. Konrad Kieling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Fusion-based quantum computationbreakdown → | 158 |
| 2 | 68 | |
| 3 | 38 | |
| 4 | 24 | |
| 5 | 67 | |
| 6 | Linear optics quantum computing - construction of small networks and asymptotic scaling | 2 |
| 7 | 78 | |
| 8 | 19 | |
| 9 | 27 | |
| 10 | 15 | |
| 11 | 48 |
About Konrad Kieling
Konrad Kieling is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 11 papers that have together received 544 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Quantum Computing Algorithms and Architecture (7 papers) and Neural Networks and Reservoir Computing (6 papers). The work is most often cited by research in Artificial Intelligence (502 citations), Atomic and Molecular Physics, and Optics (359 citations) and Acoustics and Ultrasonics (4 citations). Konrad Kieling has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Jens Eisert, Terry Rudolph, Andrea Mari, B. Melholt Nielsen, E. S. Polzik, Mercedes Gimeno-Segovia, Naomi Nickerson, Fernando Pastawski, Patrick M. Birchall and Hugo Cable. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review A.
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.