T. Antičić

33.8k citations
10 papers · 43 indexed · h-index 3

T. Antičić

8 papers receiving 43 citations

Peers

T. Antičić
Comparison fields: 5 of 17
  • Nuclear and High Energy Physics 39
  • Radiation 4
  • Surfaces, Coatings and Films 2
  • Management Science and Operations Research 2
  • Hardware and Architecture 1
Replace S. Muhuri with:
S. Muhuri India
B. Giacobbe Italy
M. Tosi Italy
Valentina Akishina Germany
F. Cossutti Italy
V. Dutta United States
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Citations per field
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Citations per year

Countries citing papers authored by T. Antičić

Since Specialization
Citations

This map shows the geographic impact of T. Antičić'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 T. Antičić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Antičić more than expected).

Fields of papers citing papers by T. Antičić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Antičić. 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 T. Antičić. The network helps show where T. Antičić may publish in the future.

Co-authorship network

The 25 scholars most cited alongside T. Antičić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Antičić Line = papers co-authored together T. Antičić links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201627
2 20152
3
Centrality dependence of the pseudorapidity density distribution for charged particles in Pb–Pb collisions at sqrt(sNN)=2.76 TeV
20131
4 20100
5 20101
6 20095
7 20082
8
Specification and Simulation of the ALICE Trigger and DAQ System
20010
9 19962
10 19963

About T. Antičić

T. Antičić is a scholar working on Nuclear and High Energy Physics, Surfaces, Coatings and Films, Computer Networks and Communications, Statistics and Probability and Radiation, having authored 10 papers that have together received 43 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (8 papers), Particle Detector Development and Performance (5 papers), High-Energy Particle Collisions Research (4 papers), Distributed and Parallel Computing Systems (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Advanced Data Storage Technologies (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (39 citations), Radiation (4 citations), Surfaces, Coatings and Films (2 citations), Management Science and Operations Research (2 citations) and Hardware and Architecture (1 citation). T. Antičić has collaborated with scholars based in Croatia, Hungary and Switzerland. Frequent co-authors include S. Hou, Chih‐Yen Chien, F. Özok, Ö. Çobanoğlu, J. Adam, W. Carena, W.T. Lin, C.H. Lin, Veljko Grilj and R. Battiston. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Physical review. C, Journal of Physics Conference Series and CERN Bulletin.

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.

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