Nir Polonsky
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- Particle physics theoretical and experimental studies 26
- Black Holes and Theoretical Physics 13
- Neutrino Physics Research 10
- Dark Matter and Cosmic Phenomena 9
- Quantum Chromodynamics and Particle Interactions 9
- Astrophysics and Cosmic Phenomena 1
- Particle Detector Development and Performance 1
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories 9
- Co-authors
- Paul LangackerShufang SuAlex PomarolJonathan L. FengFrancesca BorzumatiScott ThomasGlennys R. FarrarChristopher Kolda
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Nir Polonsky
28 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 28
- Nuclear and High Energy Physics 1.6k
- Astronomy and Astrophysics 515
- Statistical and Nonlinear Physics 45
- Artificial Intelligence 43
- Mathematical Physics 7
Countries citing papers authored by Nir Polonsky
This map shows the geographic impact of Nir Polonsky'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 Nir Polonsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Polonsky more than expected).
Fields of papers citing papers by Nir Polonsky
This network shows the impact of papers produced by Nir Polonsky. 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 Nir Polonsky. The network helps show where Nir Polonsky may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Nir Polonsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Supersymmetry: Structure and Phenomena: Extensions of the Standard Model | 2001 | 6 |
| 2 | 2001 | 233 | |
| 3 | 2001 | 23 | |
| 4 | 2001 | 4 | |
| 5 | 2001 | 22 | |
| 6 | 2000 | 61 | |
| 7 | The $\mu$-Parameter of Supersymmetry | 1999 | 3 |
| 8 | 1999 | 4 | |
| 9 | 1999 | 69 | |
| 10 | 1999 | 51 | |
| 11 | 1999 | 44 | |
| 12 | 1998 | 27 | |
| 13 | 1998 | 31 | |
| 14 | 1997 | 67 | |
| 15 | 1997 | 133 | |
| 16 | 1997 | 33 | |
| 17 | 1996 | 18 | |
| 18 | 1995 | 84 | |
| 19 | 1994 | 75 | |
| 20 | 1993 | 229 |
About Nir Polonsky
Nir Polonsky is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (26 papers), Black Holes and Theoretical Physics (13 papers), Neutrino Physics Research (10 papers), Dark Matter and Cosmic Phenomena (9 papers), Cosmology and Gravitation Theories (9 papers), Quantum Chromodynamics and Particle Interactions (9 papers), Astrophysics and Cosmic Phenomena (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.6k citations), Astronomy and Astrophysics (515 citations), Statistical and Nonlinear Physics (45 citations), Artificial Intelligence (43 citations) and Mathematical Physics (7 citations). Nir Polonsky has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Paul Langacker, Shufang Su, Alex Pomarol, Jonathan L. Feng, Francesca Borzumati, Scott Thomas, Glennys R. Farrar, Christopher Kolda, Hsin-Chia Cheng and Jean-Loı̈c Kneur. Their work appears in journals such as Physics Letters B, Nuclear Physics B, Physical Review Letters, Lecture notes in physics and Nuclear Physics B - Proceedings Supplements.
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.