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Kreso Kadija

Researcher at CERN

Publications -  1283
Citations -  105301

Kreso Kadija is an academic researcher from CERN. The author has contributed to research in topics: Large Hadron Collider & Standard Model. The author has an hindex of 135, co-authored 1270 publications receiving 95988 citations. Previous affiliations of Kreso Kadija include Creighton University & Université libre de Bruxelles.

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Search for t(t)over-bar resonances in highly boosted lepton plus jets and fully hadronic final states in proton-proton collisions at root s=13 TeV

Albert M. Sirunyan, +2260 more
- 03 Jul 2017 - 
TL;DR: In this paper, a search for the production of heavy resonances decaying into top quark-antiquark pairs was performed in the lepton+jets and fully hadronic channels using data collected in proton-proton collisions at root s = 13 TeV using the CMS detector at the LHC.
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Search for single production of scalar leptoquarks in proton-proton collisions at √s=8 TeV

Vardan Khachatryan, +2293 more
- 24 Feb 2016 - 
TL;DR: In this paper, a search is presented for the production of both first and second-generation scalar leptoquarks with a final state of either two electrons and one jet or two muons and 1 jet.
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Measurement of energy flow at large pseudorapidities in pp collisions at sqrt(s) = 0.9 and 7 TeV

S. Chatrchyan, +2241 more
- 29 Nov 2011 - 
TL;DR: In this article, the energy flow at large pseudorapidities in proton-proton collisions at the LHC was studied at the centre-of-mass energies of 0.9 and 7 TeV.
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Measurement of prompt and nonprompt J/psi production in pp and pPb collisions at root s(NN)=5.02 TeV

Albert M. Sirunyan, +2216 more
- 27 Apr 2017 - 
TL;DR: In this paper, the authors reported the measurement of meson production in proton-proton collisions at a center-of-mass energy per nucleon pair of [Formula: see text] by the LHC.
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Measurement of exclusive Υ photoproduction from protons in p Pb collisions at √sNN=5.02TeV

Albert M. Sirunyan, +2268 more
- 26 Mar 2019 - 
TL;DR: In this article, the authors proposed a method based on the European Research Council and Horizon 2020 grant to solve the problem of human-computer interaction in the field of bioinformatics.