Julian D. Töpfer
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Civil and Structural Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Pavlos G. LagoudakisAlexis AskitopoulosHelgi SigurðssonPasquale CilibrizziNatalia G. BerloffW. LangbeinMatteo SilvaKirill P. Kalinin
- Topics
- Strong Light-Matter Interactions (15 papers)Cold Atom Physics and Bose-Einstein Condensates (6 papers)Quantum and electron transport phenomena (6 papers)
- Partner nations
- RussiaUnited KingdomIceland
In The Last Decade
Julian D. Töpfer
16 papers receiving 386 citations
Peers
Comparison fields: 5 of 31
- Atomic and Molecular Physics, and Optics 329
- Artificial Intelligence 130
- Biomedical Engineering 85
- Civil and Structural Engineering 84
- Electrical and Electronic Engineering 79
Countries citing papers authored by Julian D. Töpfer
This map shows the geographic impact of Julian D. Töpfer'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 Julian D. Töpfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian D. Töpfer more than expected).
Fields of papers citing papers by Julian D. Töpfer
This network shows the impact of papers produced by Julian D. Töpfer. 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 Julian D. Töpfer. The network helps show where Julian D. Töpfer may publish in the future.
Co-authorship network of co-authors of Julian D. Töpfer
This figure shows the co-authorship network connecting the top 25 collaborators of Julian D. Töpfer. A scholar is included among the top collaborators of Julian D. Töpfer 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 Julian D. Töpfer. Julian D. Töpfer 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 36 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 16 | |
| 11 | 25 | |
| 12 | 8 | |
| 13 | 42 | |
| 14 | 17 | |
| 15 | 3 | |
| 16 | Towards polariton neuromorphic engineering | 1 |
| 17 | 230 |
About Julian D. Töpfer
Julian D. Töpfer is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Artificial Intelligence, having authored 17 papers that have together received 396 indexed citations. Recurring topics across this work include Strong Light-Matter Interactions (15 papers), Cold Atom Physics and Bose-Einstein Condensates (6 papers) and Quantum and electron transport phenomena (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (10 citations), Atomic and Molecular Physics, and Optics (329 citations) and Artificial Intelligence (130 citations). Julian D. Töpfer has collaborated with scholars based in Russia, United Kingdom and Iceland. Frequent co-authors include Pavlos G. Lagoudakis, Alexis Askitopoulos, Helgi Sigurðsson, Pasquale Cilibrizzi, Natalia G. Berloff, W. Langbein, Matteo Silva, Kirill P. Kalinin, Yaroslav V. Kartashov and Carles Milián. Their work appears in journals such as Physical Review Letters, Nature Communications and Applied Physics Letters.
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.