Ivan Yeletskikh
Impact in
- Nuclear and High Energy Physics top 0.5%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 1%
- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 903
- High-Energy Particle Collisions Research 732
- Particle Detector Development and Performance 401
- Quantum Chromodynamics and Particle Interactions 345
- Dark Matter and Cosmic Phenomena 123
- Neutrino Physics Research 57
-
- Cosmology and Gravitation Theories 69
- Co-authors
- Mihail Chizhov (1 shared paper)M. V. Chizhov (2 shared papers)Albina Tropina (1 shared paper)Igor Boyko (3 shared papers)Nazim A. Huseynov (1 shared paper)Mikhail Demichev (1 shared paper)Vadim A. Bednyakov (3 shared papers)J. Budagov (1 shared paper)
- Journals
- Journal of High Energy Physics (274 papers)The European Physical Journal C (250 papers)Physics Letters B (121 papers)Physical review. D (88 papers)Physical Review Letters (69 papers)
- Partner nations
- FranceSwitzerlandAustralia
In The Last Decade
Ivan Yeletskikh
859 papers receiving 30.3k citations
Ivan Yeletskikh's Hit Papers
Peers
Comparison fields: 5 of 154
- Nuclear and High Energy Physics 34.4k
- Astronomy and Astrophysics 6.5k
- Artificial Intelligence 1.9k
- Computer Networks and Communications 738
- Statistical and Nonlinear Physics 302
Countries citing papers authored by Ivan Yeletskikh
This map shows the geographic impact of Ivan Yeletskikh'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 Ivan Yeletskikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Yeletskikh more than expected).
Fields of papers citing papers by Ivan Yeletskikh
This network shows the impact of papers produced by Ivan Yeletskikh. 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 Ivan Yeletskikh. The network helps show where Ivan Yeletskikh may publish in the future.
Co-authors
The 8 scholars most cited alongside Ivan Yeletskikh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 906 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combined Measurement of the Higgs Boson Mass in p p Collisions at s = 7 and 8 TeV with the ATLAS and CMS Experiments Hit paper breakdown → | 2015 | 890 |
| 2 | Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at s = 7 $$ \sqrt{s}=7 $$ and 8 TeV Hit paper breakdown → | 2016 | 808 |
| 3 | Performance of the ATLAS trigger system in 2015 Hit paper breakdown → | 2017 | 528 |
| 4 | Muon reconstruction performance of the ATLAS detector in proton–proton collision data at $$\sqrt{s}$$ s =13 TeV Hit paper breakdown → | 2016 | 430 |
| 5 | Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1 Hit paper breakdown → | 2017 | 352 |
| 6 | Performance of pile-up mitigation techniques for jets in $$pp$$ p p collisions at $$\sqrt{s}=8$$ s = 8 TeV using the ATLAS detector Hit paper breakdown → | 2016 | 348 |
| 7 | Combined measurements of Higgs boson production and decay using up to 80 fb − 1 of proton-proton collision data at s = 13 TeV collected with the ATLAS experiment Hit paper breakdown → | 2020 | 338 |
| 8 | Luminosity determination in pp collisions at $$\sqrt{s}$$ s = 8 TeV using the ATLAS detector at the LHC Hit paper breakdown → | 2016 | 275 |
| 9 | Search for high-mass dilepton resonances using 139 fb−1 of pp collision data collected at s=13 TeV with the ATLAS detector Hit paper breakdown → | 2019 | 263 |
| 10 | 2015 | 250 | |
| 11 | ATLAS b-jet identification performance and efficiency measurement with $$t{\bar{t}}$$ events in pp collisions at $$\sqrt{s}=13$$ TeV Hit paper breakdown → | 2019 | 231 |
| 12 | 2016 | 225 | |
| 13 | 2017 | 222 | |
| 14 | 2017 | 221 | |
| 15 | 2018 | 221 | |
| 16 | 2014 | 220 | |
| 17 | 2015 | 218 | |
| 18 | 2016 | 216 | |
| 19 | 2020 | 213 | |
| 20 | 2018 | 211 |
About Ivan Yeletskikh
Ivan Yeletskikh is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Radiation and Computer Networks and Communications, having authored 906 papers that have together received 35.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (903 papers), High-Energy Particle Collisions Research (732 papers), Particle Detector Development and Performance (401 papers), Quantum Chromodynamics and Particle Interactions (345 papers), Dark Matter and Cosmic Phenomena (123 papers), Cosmology and Gravitation Theories (69 papers), Neutrino Physics Research (57 papers) and Computational Physics and Python Applications (27 papers). The work is most often cited by research in Nuclear and High Energy Physics (34.4k citations), Astronomy and Astrophysics (6.5k citations), Artificial Intelligence (1.9k citations), Computer Networks and Communications (738 citations) and Statistical and Nonlinear Physics (302 citations). Ivan Yeletskikh has collaborated with scholars based in France, Switzerland and Australia. Frequent co-authors include Mihail Chizhov, M. V. Chizhov, Albina Tropina, Igor Boyko, Nazim A. Huseynov, Mikhail Demichev, Vadim A. Bednyakov and J. Budagov. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physics Letters B, Physical review. D and Physical Review 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.