M. Paganini

155 total papers · 9.9k total citations
9 papers, 418 citations indexed

About

M. Paganini is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, M. Paganini has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nuclear and High Energy Physics, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in M. Paganini's work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (3 papers) and Astrophysics and Cosmic Phenomena (3 papers). M. Paganini is often cited by papers focused on Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (3 papers) and Astrophysics and Cosmic Phenomena (3 papers). M. Paganini collaborates with scholars based in United States, Brazil and Belgium. M. Paganini's co-authors include Luke de Oliveira, Benjamin Nachman, Yuandong Tian, Ari S. Morcos, Haonan Yu, W. Legros, André Nicolet, Daniel Guest, M. Kagan and A. Krasznahorkay and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Magnetics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

M. Paganini

7 papers receiving 412 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks

2018 193 citations M. Paganini, Luke de Oliveira et al. Physical review. D profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. Paganini	269	140	79	38	31	9	418
Luke de Oliveira	351 1.3×	156 1.1×	67 0.8×	41 1.1×	41 1.3×	7	492
K. Krüger	202 0.8×	100 0.7×	41 0.5×	70 1.8×	11 0.4×	13	377
V. M. Mikuni	316 1.2×	162 1.2×	29 0.4×	22 0.6×	24 0.8×	27	400
A. Aurisano	244 0.9×	91 0.7×	21 0.3×	17 0.4×	16 0.5×	13	406
T. Wongjirad	254 0.9×	70 0.5×	14 0.2×	16 0.4×	27 0.9×	10	461
R. K. Böck	145 0.5×	72 0.5×	38 0.5×	13 0.3×	11 0.4×	26	368
Michael S. Albergo	157 0.6×	134 1.0×	24 0.3×	98 2.6×	32 1.0×	14	445
Sébastien Racanière	119 0.4×	153 1.1×	38 0.5×	69 1.8×	27 0.9×	23	423
R. Frühwirth	291 1.1×	73 0.5×	28 0.4×	26 0.7×	50 1.6×	12	426
Kelli Humbird	195 0.7×	58 0.4×	14 0.2×	29 0.8×	6 0.2×	24	370

Countries citing papers authored by M. Paganini

Since Specialization

Citations

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

Fields of papers citing papers by M. Paganini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Paganini

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

All Works

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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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