Emanuele Di Marco

8.9k total citations
11 papers, 38 citations indexed

About

Emanuele Di Marco is a scholar working on Nuclear and High Energy Physics, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, Emanuele Di Marco has authored 11 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 5 papers in Radiation and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Emanuele Di Marco's work include Particle Detector Development and Performance (8 papers), Particle physics theoretical and experimental studies (5 papers) and Radiation Detection and Scintillator Technologies (5 papers). Emanuele Di Marco is often cited by papers focused on Particle Detector Development and Performance (8 papers), Particle physics theoretical and experimental studies (5 papers) and Radiation Detection and Scintillator Technologies (5 papers). Emanuele Di Marco collaborates with scholars based in Italy, Switzerland and United States. Emanuele Di Marco's co-authors include Jesús Santamarı́a, M. Menéndez, S. Xie, Yi Chen, Joe Lykken, M. Spiropulu, Roberto Vega-Morales, G. Cavoto, M. Marafini and C. Voena and has published in prestigious journals such as Journal of High Energy Physics, Powder Technology and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Emanuele Di Marco

8 papers receiving 36 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emanuele Di Marco Italy 3 24 10 6 6 5 11 38
G. D. Hallewell France 4 14 0.6× 2 0.2× 2 0.3× 7 1.2× 8 1.6× 17 28
M. Calviani United Kingdom 4 12 0.5× 5 0.5× 1 0.2× 3 0.5× 8 1.6× 7 27
M. Franco Sevilla Germany 3 57 2.4× 4 0.4× 3 0.5× 7 1.2× 3 66
А. В. Хромов Russia 4 17 0.7× 1 0.1× 6 1.0× 5 0.8× 5 1.0× 20 39
E. Kuznetsova Russia 4 21 0.9× 4 0.4× 2 0.3× 2 0.3× 23 4.6× 16 39
P. Cortese Italy 6 34 1.4× 2 0.2× 5 0.8× 4 0.7× 28 5.6× 17 63
S. Hayakawa Japan 4 18 0.8× 1 0.1× 4 0.7× 7 1.2× 7 1.4× 13 31
P. Mantica Germany 2 18 0.8× 5 0.5× 4 0.7× 1 0.2× 2 23
O. Teller Switzerland 3 7 0.3× 23 2.3× 16 2.7× 7 1.4× 5 38
P. Tsavalas Greece 4 24 1.0× 5 0.5× 2 0.3× 12 2.4× 9 40

Countries citing papers authored by Emanuele Di Marco

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Di Marco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emanuele Di Marco. 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 Emanuele Di Marco. The network helps show where Emanuele Di Marco may publish in the future.

Co-authorship network of co-authors of Emanuele Di Marco

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

All Works

11 of 11 papers shown
1.
Pinci, D., E. Baracchini, G. Cavoto, et al.. (2018). High resolution TPC based on optically readout GEM. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 936. 453–455. 2 indexed citations
2.
Mazzitelli, G., E. Baracchini, G. Cavoto, et al.. (2018). MPGD Optical Read Out for Directional Dark Matter Search. 1–4. 1 indexed citations
3.
Pinci, D., F. Renga, C. Voena, et al.. (2017). CYGNUS: development of a high resolution TPC for rare events. 77–77. 3 indexed citations
4.
Mazzitelli, G., V. C. Antochi, E. Baracchini, et al.. (2017). A high resolution TPC based on GEM optical readout. IRIS Research product catalog (Sapienza University of Rome). 572. 1–4. 1 indexed citations
5.
Marco, Emanuele Di. (2016). Studies of the Higgs boson spin and parity using the γγ, ZZ, and WW decay channels with the CMS detector. Nuclear and Particle Physics Proceedings. 273-275. 746–752. 1 indexed citations
6.
Chen, Yi, Emanuele Di Marco, Joe Lykken, et al.. (2015). 8D likelihood effective Higgs couplings extraction framework in h → 4ℓ. Journal of High Energy Physics. 2015(1). 14 indexed citations
7.
Bartoloni, A., S. Baccaro, F. Cavallari, et al.. (2013). The CMS ECAL Barrel HV system. Journal of Instrumentation. 8(2). C02039–C02039. 1 indexed citations
8.
Arcidiacono, R., W. Badgett, U. Berthon, et al.. (2010). The CMS ECAL database services for detector control and monitoring. Journal of Physics Conference Series. 219(2). 22016–22016.
9.
Dissertori, G., Predrag Milenović, T. Punz, et al.. (2009). Detector Control System for the Electromagnetic Calorimeter of the CMS experiment. CERN Bulletin. 1 indexed citations
10.
Puzović, J., F. Cavallari, A. Inyakin, et al.. (2008). Detector Control System for the Electromagnetic Calorimeter in the CMS Experiment Summary of the first operational experience. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
11.
Marco, Emanuele Di, et al.. (1997). Fluidization of agglomerating particles: influence of the gas temperature and composition on the fluidization of a Li/MgO catalyst. Powder Technology. 92(1). 47–52. 13 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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