E. L. Barberio

142.0k total citations
10 papers, 280 citations indexed

About

E. L. Barberio is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, E. L. Barberio has authored 10 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 3 papers in Computer Networks and Communications and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in E. L. Barberio's work include Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (3 papers) and Dark Matter and Cosmic Phenomena (3 papers). E. L. Barberio is often cited by papers focused on Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (3 papers) and Dark Matter and Cosmic Phenomena (3 papers). E. L. Barberio collaborates with scholars based in Australia, Switzerland and Germany. E. L. Barberio's co-authors include Z. Wa̧s, Bob van Eijk, Katherine J. Mack, J. Stuart B. Wyithe, B. Le, D. Zanzi, W. Ehrenfeld, R. Plačakytė, B. Butler and З. Маршалл and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Computer Physics Communications and Physical review. D.

In The Last Decade

E. L. Barberio

9 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
E. L. Barberio Australia	6	269	31	18	16	10	10	280
L. Roos France	2	654 2.4×	26 0.8×	20 1.1×	15 0.9×	19 1.9×	7	679
S. Laplace France	3	734 2.7×	32 1.0×	15 0.8×	18 1.1×	18 1.8×	5	753
O. Abdinov Canada	10	305 1.1×	63 2.0×	11 0.6×	16 1.0×	9 0.9×	23	333
L. Stančo Italy	5	471 1.8×	27 0.9×	12 0.7×	10 0.6×	8 0.8×	16	490
John M. Campbell United States	10	577 2.1×	36 1.2×	20 1.1×	16 1.0×	5 0.5×	21	583
S. Monteil France	5	361 1.3×	34 1.1×	7 0.4×	14 0.9×	11 1.1×	5	369
Jacob Ethier United States	9	551 2.0×	20 0.6×	14 0.8×	10 0.6×	22 2.2×	13	566
G. Ünel United States	8	326 1.2×	49 1.6×	24 1.3×	18 1.1×	5 0.5×	41	351
Y.-T. Tsai Taiwan	2	292 1.1×	14 0.5×	16 0.9×	15 0.9×	11 1.1×	2	296
B. Heinemann Germany	6	245 0.9×	70 2.3×	9 0.5×	15 0.9×	17 1.7×	10	256

Countries citing papers authored by E. L. Barberio

Since Specialization

Citations

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

Fields of papers citing papers by E. L. Barberio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. L. Barberio. 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 E. L. Barberio. The network helps show where E. L. Barberio may publish in the future.

Co-authorship network of co-authors of E. L. Barberio

This figure shows the co-authorship network connecting the top 25 collaborators of E. L. Barberio. A scholar is included among the top collaborators of E. L. Barberio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. L. Barberio. E. L. Barberio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Barberio, E. L., et al.. (2022). Influence of NaI background and mass on testing the DAMA modulation. The European Physical Journal C. 82(12).

2.

Barberio, E. L., et al.. (2021). Influence of NaI background and mass on testing the DAMA modulation. Journal of Physics Conference Series. 2156(1). 12212–12212. 3 indexed citations

3.

Bignell, L.J., E. L. Barberio, M.B. Froehlich, et al.. (2020). SABRE and the Stawell Underground Physics Laboratory Dark Matter Research at the Australian National University. Springer Link (Chiba Institute of Technology). 7 indexed citations

4.

Barberio, E. L., et al.. (2017). Deep learning approach to the Higgs boson CP measurement in H→ττ decay and associated systematics. Physical review. D. 96(7). 9 indexed citations

5.

Mack, Katherine J., et al.. (2015). Dark matter annihilation in the first galaxy haloes. Monthly Notices of the Royal Astronomical Society. 451(3). 2840–2850. 17 indexed citations

6.

Barberio, E. L.. (2009). SUSY SEARCHES AT LHC AND DARK MATTER. 39–50. 1 indexed citations

7.

Barberio, E. L., J. Boudreau, B. Butler, et al.. (2008). Fast shower simulation in the ATLAS calorimeter. Journal of Physics Conference Series. 119(3). 32008–32008. 5 indexed citations

8.

Barberio, E. L., J. Boudreau, B. Butler, et al.. (2008). THE GEANT4-BASED ATLAS FAST ELECTROMAGNETIC SHOWER SIMULATION. Astroparticle, Particle and Space Physics, Detectors and Medical Physics Applications. 802–806. 4 indexed citations

9.

Barberio, E. L. & Z. Wa̧s. (1994). PHOTOS - a universal Monte Carlo for QED radiative corrections: version 2.0. Computer Physics Communications. 79(2). 291–308. 140 indexed citations

10.

Barberio, E. L., Bob van Eijk, & Z. Wa̧s. (1991). Photos — a universal Monte Carlo for QED radiative corrections in decays. Computer Physics Communications. 66(1). 115–128. 94 indexed citations

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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