Alexander Radovic

728 citations
2 papers · 253 · 1 hit paper · h-index 1

Impact in

    • Particle physics theoretical and experimental studies
    • Particle Detector Development and Performance
    • High-Energy Particle Collisions Research
    • Neutrino Physics Research
    • Quantum Chromodynamics and Particle Interactions
    • Computational Physics and Python Applications

Papers in

Alexander Radovic

1 paper receiving 243 citations

Alexander Radovic's Hit Papers

Machine learning at the energy and intensity frontiers of particle physics 2018 · 253 citations
2530+2+5Years since publication50100150200250

Peers

Alexander Radovic
Comparison fields: 5 of 68
  • Nuclear and High Energy Physics 128
  • Artificial Intelligence 69
  • Computational Mathematics 1
  • Radiation 14
  • Statistical and Nonlinear Physics 15
Replace A. Himmel with:
A. Himmel United States
A. Aurisano United States
I. Zacharov Russia
M. Williams United States
Thomas Hoch Austria
W. S. Kolthammer United Kingdom
J. M. Paterson United States
Natalie Kostinski United States
Min Jiang China
Xiang Ma China
Alexander Radovic relative to A. Himmel United States A. Himmel's profile →
Citations per field
00.5×1.5×
A. Himmel · 1×
Citations per year

Countries citing papers authored by Alexander Radovic

Since Specialization
Citations

This map shows the geographic impact of Alexander Radovic'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 Alexander Radovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Radovic more than expected).

Fields of papers citing papers by Alexander Radovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Alexander Radovic, 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 Alexander Radovic Line = papers co-authored together Alexander Radovic links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
Machine learning at the energy and intensity frontiers of particle physics
Hit paper breakdown →
2018253
2 20250

About Alexander Radovic

Alexander Radovic is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics, Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 253 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (1 paper), Particle physics theoretical and experimental studies (1 paper), High-Energy Particle Collisions Research (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (128 citations), Artificial Intelligence (69 citations), Computational Mathematics (1 citation), Radiation (14 citations) and Statistical and Nonlinear Physics (15 citations). Alexander Radovic has collaborated with scholars based in France, Italy and United States. Frequent co-authors include A. Aurisano, K. Terao, T. Wongjirad, A. Himmel, M. Kagan, D. Rousseau, M. Williams, Tanmay Parekh and Denis Savenkov. Their work appears in journals such as Nature.

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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