Filip Rozpędek
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Stephanie WehnerDavid ElkoussLê Phuc ThinhAndrew C. DohertyMaximilian RufKenneth GoodenoughRonald HansonPeter C. Humphreys
- Topics
- Quantum Information and Cryptography (13 papers)Quantum Computing Algorithms and Architecture (10 papers)Quantum optics and atomic interactions (4 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesNetherlandsDenmark
In The Last Decade
Filip Rozpędek
13 papers receiving 283 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 260
- Atomic and Molecular Physics, and Optics 210
- Computational Theory and Mathematics 23
- Materials Chemistry 19
- Electrical and Electronic Engineering 17
Countries citing papers authored by Filip Rozpędek
This map shows the geographic impact of Filip Rozpędek'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 Filip Rozpędek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filip Rozpędek more than expected).
Fields of papers citing papers by Filip Rozpędek
This network shows the impact of papers produced by Filip Rozpędek. 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 Filip Rozpędek. The network helps show where Filip Rozpędek may publish in the future.
Co-authorship network of co-authors of Filip Rozpędek
This figure shows the co-authorship network connecting the top 25 collaborators of Filip Rozpędek. A scholar is included among the top collaborators of Filip Rozpędek 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 Filip Rozpędek. Filip Rozpędek 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 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 33 | |
| 9 | 0 | |
| 10 | 22 | |
| 11 | 21 | |
| 12 | 84 | |
| 13 | 2 | |
| 14 | 23 | |
| 15 | 81 | |
| 16 | 4 |
About Filip Rozpędek
Filip Rozpędek is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 16 papers that have together received 294 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum optics and atomic interactions (4 papers). The work is most often cited by research in Artificial Intelligence (260 citations), Atomic and Molecular Physics, and Optics (210 citations) and Computational Theory and Mathematics (23 citations). Filip Rozpędek has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Stephanie Wehner, David Elkouss, Lê Phuc Thinh, Andrew C. Doherty, Maximilian Ruf, Kenneth Goodenough, Ronald Hanson, Peter C. Humphreys, Liang Jiang and Kaushik Chakraborty. Their work appears in journals such as Physical Review Letters, New Journal of Physics 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.