E. Gross

2.9k total citations
19 papers, 93 citations indexed

About

E. Gross is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, E. Gross has authored 19 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 10 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in E. Gross's work include Particle physics theoretical and experimental studies (15 papers), Particle Detector Development and Performance (7 papers) and Computational Physics and Python Applications (5 papers). E. Gross is often cited by papers focused on Particle physics theoretical and experimental studies (15 papers), Particle Detector Development and Performance (7 papers) and Computational Physics and Python Applications (5 papers). E. Gross collaborates with scholars based in Israel, Italy and Germany. E. Gross's co-authors include O. Vitells, E. Dreyer, M. Kado, F. A. Di Bello, N. Kakati, J. Shlomi, S. Ganguly, L. Heinrich, Bernd A. Kniehl and D. Kobylianskii and has published in prestigious journals such as Physical review. D, The European Physical Journal C and Astroparticle Physics.

In The Last Decade

E. Gross

18 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Gross Israel 6 73 29 10 9 5 19 93
K. Zoch Switzerland 4 65 0.9× 24 0.8× 4 0.4× 4 0.4× 6 1.2× 5 78
M. Kado Italy 6 130 1.8× 21 0.7× 27 2.7× 8 0.9× 5 1.0× 9 137
G. Quétant Switzerland 4 46 0.6× 17 0.6× 6 0.6× 5 0.6× 11 2.2× 7 71
M. Pettee United States 5 58 0.8× 33 1.1× 8 0.8× 5 0.6× 9 1.8× 6 101
O. Amram United States 4 64 0.9× 35 1.2× 7 0.7× 3 0.3× 6 1.2× 5 79
P. Vahle United States 3 78 1.1× 17 0.6× 9 0.9× 5 0.6× 5 1.0× 6 105
D. Rocco United States 4 90 1.2× 17 0.6× 10 1.0× 5 0.6× 5 1.0× 5 117
G. Pawloski United States 2 72 1.0× 17 0.6× 7 0.7× 5 0.6× 5 1.0× 4 98
E. Niner United States 3 84 1.2× 17 0.6× 8 0.8× 5 0.6× 5 1.0× 5 110
A. Radovic Austria 2 75 1.0× 17 0.6× 8 0.8× 5 0.6× 5 1.0× 4 101

Countries citing papers authored by E. Gross

Since Specialization
Citations

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

Fields of papers citing papers by E. Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Gross

This figure shows the co-authorship network connecting the top 25 collaborators of E. Gross. A scholar is included among the top collaborators of E. Gross 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. Gross. E. Gross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kakati, N., E. Dreyer, A. Ivina, et al.. (2025). HGPflow: extending hypergraph particle flow to collider event reconstruction. The European Physical Journal C. 85(8).
2.
Kobylianskii, D., Nathalie Soybelman, N. Kakati, et al.. (2024). Advancing set-conditional set generation: Diffusion models for fast simulation of reconstructed particles. Physical review. D. 110(9). 2 indexed citations
3.
Liu, Si‐Wei, et al.. (2024). PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction. Machine Learning Science and Technology. 5(4). 45028–45028. 2 indexed citations
4.
Soybelman, Nathalie, C. Schiavi, F. A. Di Bello, & E. Gross. (2024). Accelerating graph-based tracking tasks with symbolic regression. Machine Learning Science and Technology. 5(4). 45042–45042. 1 indexed citations
5.
Kobylianskii, D., Nathalie Soybelman, E. Dreyer, & E. Gross. (2024). Graph-based diffusion model for fast shower generation in calorimeters with irregular geometry. Physical review. D. 110(7). 4 indexed citations
6.
Cranmer, K., F. A. Di Bello, E. Dreyer, et al.. (2023). Configurable calorimeter simulation for AI applications. Machine Learning Science and Technology. 4(3). 35042–35042. 4 indexed citations
7.
Bello, F. A. Di, E. Dreyer, S. Ganguly, et al.. (2023). Reconstructing particles in jets using set transformer and hypergraph prediction networks. The European Physical Journal C. 83(7). 20 indexed citations
8.
Soybelman, Nathalie, N. Kakati, L. Heinrich, et al.. (2023). Set-conditional set generation for particle physics. Machine Learning Science and Technology. 4(4). 45036–45036. 5 indexed citations
9.
Bello, F. A. Di, et al.. (2021). Efficiency Parameterization with Neural Networks. HAL (Le Centre pour la Communication Scientifique Directe). 5(1). 9 indexed citations
10.
Shlomi, J., et al.. (2020). Set2Graph: Learning Graphs From Sets. arXiv (Cornell University). 33. 22080–22091. 1 indexed citations
11.
Gross, E.. (2016). Practical Statistics for High Energy Physics. 4. 165–165. 3 indexed citations
12.
Vitells, O. & E. Gross. (2011). Estimating the significance of a signal in a multi-dimensional search. Astroparticle Physics. 35(5). 230–234. 17 indexed citations
13.
Gross, E. & O. Vitells. (2010). Transverse mass observables for charged Higgs boson searches at hadron colliders. Physical review. D. Particles, fields, gravitation, and cosmology. 81(5). 4 indexed citations
14.
Gross, E., Daniel Grossman, Yosef Nir, & O. Vitells. (2010). Testing minimal lepton flavor violation with extra vectorlike leptons at the LHC. Physical review. D. Particles, fields, gravitation, and cosmology. 81(5). 4 indexed citations
15.
Gross, E., O. Vitells, G. Alverson, Pran Nath, & Brent Nelson. (2010). Transverse mass observables for charged Higgs searches in top decays at the LHC. AIP conference proceedings. 349–353. 2 indexed citations
16.
Bock, P., J. Carr, S. J. de Jong, et al.. (1998). Lower bound for the standard model Higgs boson mass from combining the results of the four LEP experiments. HAL (Le Centre pour la Communication Scientifique Directe). 17. 5 indexed citations
17.
Gross, E., et al.. (1995). Production and decay of the Standard Model Higgs boson at LEP200. The European Physical Journal C. 66(1-2). 321–322. 8 indexed citations
18.
Duchovni, E., E. Gross, & G. Mikenberg. (1989). Motivation and technique for light-Higgs-boson search. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 39(1). 365–367. 1 indexed citations
19.
Gross, E. & E. Duchovni. (1988). Lower bound on the higgs-boson mass with a heavy top quark. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 38(7). 2308–2309. 1 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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