Daniel Stolarski
- Nuclear and High Energy Physics top 5%
- Astronomy and Astrophysics top 10%
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics
- Co-authors
- Roberto Vega-MoralesAndreas WeilerPedro SchwallerYasunori NomuraGordan KrnjaicJesse ThalerMartin SchmaltzDavid E. Kaplan
- Topics
- Particle physics theoretical and experimental studies (27 papers)Dark Matter and Cosmic Phenomena (14 papers)Cosmology and Gravitation Theories (11 papers)
- Cited by
- Nuclear and High Energy PhysicsAstronomy and AstrophysicsDiscrete Mathematics and Combinatorics
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Daniel Stolarski
29 papers receiving 433 citations
Peers
Comparison fields: 5 of 15
- Nuclear and High Energy Physics 434
- Astronomy and Astrophysics 152
- Artificial Intelligence 9
- Atomic and Molecular Physics, and Optics 5
- Computational Theory and Mathematics 5
Countries citing papers authored by Daniel Stolarski
This map shows the geographic impact of Daniel Stolarski'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 Daniel Stolarski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stolarski more than expected).
Fields of papers citing papers by Daniel Stolarski
This network shows the impact of papers produced by Daniel Stolarski. 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 Daniel Stolarski. The network helps show where Daniel Stolarski may publish in the future.
Co-authorship network of co-authors of Daniel Stolarski
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Stolarski. A scholar is included among the top collaborators of Daniel Stolarski 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 Daniel Stolarski. Daniel Stolarski 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 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | 18 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | 26 | |
| 17 | 30 | |
| 18 | 52 | |
| 19 | 8 | |
| 20 | 7 |
About Daniel Stolarski
Daniel Stolarski is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computational Theory and Mathematics, having authored 30 papers that have together received 445 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (27 papers), Dark Matter and Cosmic Phenomena (14 papers) and Cosmology and Gravitation Theories (11 papers). The work is most often cited by research in Nuclear and High Energy Physics (434 citations), Astronomy and Astrophysics (152 citations) and Discrete Mathematics and Combinatorics (2 citations). Daniel Stolarski has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Roberto Vega-Morales, Andreas Weiler, Pedro Schwaller, Yasunori Nomura, Gordan Krnjaic, Jesse Thaler, Martin Schmaltz, David E. Kaplan, Michele Papucci and Yi Chen. Their work appears in journals such as Physical Review Letters, Journal of High Energy Physics and Physical review. D.
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.