Florian Neukart
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Atomic and Molecular Physics, and Optics
- Astronomy and Astrophysics
- Information Systems
- Co-authors
- Christian SeidelSebastian FeldClaudia Linnhoff‐PopienWolfgang MauererThomas GaborDavid Von DollenSheir YarkoniAndrea Skolik
- Topics
- Quantum Computing Algorithms and Architecture (8 papers)Cosmology and Gravitation Theories (6 papers)Metaheuristic Optimization Algorithms Research (4 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaAnnals of PhysicsHeliyon
- Partner nations
- NetherlandsRomaniaGermany
In The Last Decade
Florian Neukart
24 papers receiving 224 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 164
- Computational Theory and Mathematics 49
- Atomic and Molecular Physics, and Optics 32
- Astronomy and Astrophysics 23
- Information Systems 23
Countries citing papers authored by Florian Neukart
This map shows the geographic impact of Florian Neukart'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 Florian Neukart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Neukart more than expected).
Fields of papers citing papers by Florian Neukart
This network shows the impact of papers produced by Florian Neukart. 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 Florian Neukart. The network helps show where Florian Neukart may publish in the future.
Co-authorship network of co-authors of Florian Neukart
This figure shows the co-authorship network connecting the top 25 collaborators of Florian Neukart. A scholar is included among the top collaborators of Florian Neukart 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 Florian Neukart. Florian Neukart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 17 | |
| 11 | 6 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 111 | |
| 15 | 12 | |
| 16 | Optimizing traffic flow using quantum annealing and classical machine learning | 1 |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 4 |
About Florian Neukart
Florian Neukart is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence, having authored 30 papers that have together received 237 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (8 papers), Cosmology and Gravitation Theories (6 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Artificial Intelligence (164 citations), Computational Theory and Mathematics (49 citations) and Industrial and Manufacturing Engineering (22 citations). Florian Neukart has collaborated with scholars based in Netherlands, Romania and Germany. Frequent co-authors include Christian Seidel, Sebastian Feld, Claudia Linnhoff‐Popien, Wolfgang Mauerer, Thomas Gabor, David Von Dollen, Sheir Yarkoni, Andrea Skolik, Michael Streif and Martin Leib. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Physics and Heliyon.
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.