Megjelent publikációk: 18 (+370 sokszerzős kollaborációs)
MTMT azonosító: 10052243
INSPIREHEP azonosító 1419000
Scopus azonosító: 56727874700
ORCID azonosító: 0000-0003-2849-0120
Google Scholar azonosító: Hg-B5uIAAAAJ
Összesített impakt faktor: 19.401
Független idézetek száma (2025.01.17., kollaborációs cikkek nélkül): 349

Referált, impakt faktoros publikációk

  1. G. Bíró, Leonid Serkin, Guy Paić, G.G. Barnaföldi, Investigating the soft and hard limits in transverse momentum spectra in pp collisions, Eur. Phys. J. Spec. Top. (2025) arXiv:2403.07512, IF: 2.6
  2. L. Gyulai, G. Bíró, R. Vértesi, G.G. Barnaföldi, How far can we see back in time in high-energy collisions using charm quarks?, J. Phys. G: Nucl. Part. Phys. 51 085103 (2024) arXiv:2401.14282, IF: 3.4
  3. G. Bíró, M. Pocsai, I.F. Barna, G.G. Barnaföldi, J.T. Moody, G. Demeter, Machine learning methods for Schlieren imaging of a plasma channel in tenuous atomic vapor, Optics & Laser Technology (2022), 159, 2023, 108948 arXiv:2205.12731, IF: 4.939
  4. G. Bı́ró, G.G. Barnaföldi, T.S. Biró, Tsallis-thermometer: a QGP indicator for large and small collisional systems, J. Phys. G 47 (2020) 10, 105002, arXiv:2003.03278, IF: 2.415
  5. G. Bı́ró, G.G. Barnaföldi, T.S. Biró, Multiplicity Dependence in the Non-Extensive Hadronization Model Calculated by the HIJING++ Framework, MDPI Universe 5 (2020) 6, 134, arXiv:1905.11272, IF: 2.165
  6. J. L. Albacete és mtsai. Predictions for Cold Nuclear Matter Effects in p+Pb Collisions at \(\sqrt{s_{NN}}=8.16\) TeV, Nucl.Phys. A972 18-85 (2018), arXiv:1707.09973, IF: 1.463
  7. G. Bı́ró, G.G. Barnaföldi, T.S. Biró, K. Ürmössy, Á. Takács, Systematic Analysis of the Non-extensive Statistical Approach in High Energy Particle Collisions - Experiment vs. Theory, Entropy 19(3) (2017), 88, arXiv:1702.02842, IF: 2.419

Kollaborációs jegyzetek

  1. ALICE Kollaboráció, The Wigner ALICE Analysis Facility, ALICE-PUBLIC-2021-007

Konferencia kiadványok

  1. G. Bíró, B. Tankó-Bartalis, G.G. Barnaföldi, Testing of KNO-scaling of charged hadron multiplicities within a Machine Learning based approach, PoS ICHEP2022 (2022) 1188, arXiv:2210.10548
  2. G. Bı́ró, G.G. Barnaföldi, G. Papp, M. Gyulassy, P. Lévai, X. Wang, B. Zhang, Introducing HIJING++: the Heavy Ion Monte Carlo Generator for the High-Luminosity LHC Era, PoS HardProbes (2019) 045, arXiv:1901.04220
  3. G. Bı́ró, G. Papp, G.G. Barnaföldi, D. Nagy, M. Gyulassy, P. Lévai, X. Wang, B. Zhang, HIJING++, a Heavy Ion Jet INteraction Generator for the High-luminosity Era of the LHC and Beyond, MDPI Proc. 10 (2019) no.1, 4, arXiv:1811.02131
  4. G. Papp, G.G. Barnaföldi, G. Bı́ró, M. Gyulassy, Sz.M.Harangozó, G. Ma, P. Lévai, X. Wang, B. Zhang, First Results with HIJING++ on High-energy Heavy Ion Collisions, PoS High-pT (2018) 015, arXiv:1805.02635
  5. G. Bı́ró, G.G. Barnaföldi, T.S. Biró, K.M. Shen. Mass hierarchy and energy scaling of the Tsallis–Pareto parameters in hadron productions at RHIC and LHC energies, EPJ Web Conf. 171, (2018) 14008, arXiv:1710.09062
  6. G.G. Barnaföldi, G. Bı́ró, M. Gyulassy, Sz.M. Harangozó, P. Lévai, G. Ma, G. Papp X. Wang, B. Zhang, First Results with HIJING++ in High-Energy Heavy-Ion Collisions, Nucl. And Part. Phys. Proc. 289–290 (2017), 373–376, arXiv:1701.08496
  7. G. Bı́ró, G.G. Barnaföldi, T.S. Biró, K. Ürmössy. Application of the Non-extensive Statistical Approach to High Energy Particle Collisions AIP Conf. Proc. 1853 (2017), 080001, arXiv:1608.01643
  8. T.S. Biró, G.G. Barnaföldi, G. Bı́ró, K.M. Shen, Near and Far from Equilibrium Power-Law Statistics, J. Phys.: Conf. Ser. 779 (2016), 1, arXiv:1608.03705
  9. G.G. Barnaföldi, K. Ürmössy, G. Bı́ró, A ‘soft+hard’ model for Pion, Kaon, and Proton Spectra and v2 measured in PbPb Collisions at \(\sqrt{s}=2.76\)ATeV, J. Phys.: Conf. Ser. 612 (2015), 012048, arXiv:1509.06195
  10. G. Bı́ró, G.G. Barnaföldi, E. Futó, On the Way to Future’s High Energy Particle Physics Transport Code, Proc. of the 12th CIIT 334-338 (2015), arXiv:1512.06637

Elfogadott, megjelenés alatt álló közlemények

  1. L. Gyulai, G. Bíró, R. Vértesi, G.G. Barnaföldi, Evolution of the hot dense matter at LHC energies through light and heavy-flavor hadrons using non-extensive thermodynamics, Int. J. Mod. Phys. arXiv:2409.01085
  2. G. Bı́ró, G.G. Barnaföldi, Machine Learning based KNO-scaling of charged hadron multiplicities with Hijing++, arXiv:2303.05422 (J. Phys.: Conf. Ser.)
  3. G. Bı́ró, G.G. Barnaföldi, Péter Lévai, Dedicated Analysis Facility for HEP Experiments, arXiv:2303.05296 (J. Phys.: Conf. Ser.)

Referálás alatt álló publikációk

  1. G. Bíró, Á. Sudár, Zs. Jólesz, G. Papp, G.G. Barnaföldi, Proton Computed Tomography Based on Richardson-Lucy Algorithm, arXiv:2212.00126
  2. G. Bíró, G. Papp, G.G. Barnaföldi, Estimating event-by-event multiplicity by a Machine Learning Method for Hadronization Studies, arXiv:2408.17130
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