A. Coccaro

111.5k total citations
7 papers, 74 citations indexed

About

A. Coccaro is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, A. Coccaro has authored 7 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in A. Coccaro's work include Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (4 papers) and Distributed and Parallel Computing Systems (2 papers). A. Coccaro is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (4 papers) and Distributed and Parallel Computing Systems (2 papers). A. Coccaro collaborates with scholars based in Italy, Switzerland and Germany. A. Coccaro's co-authors include H. J. Lubatti, David Curtin, H. L. Russell, Jessie Shelton, Riccardo Torre, M. Pierini, L. Silvestrini, F. A. Di Bello, S. Giagu and G. Gilles and has published in prestigious journals such as Physical review. D, The European Physical Journal C and Symmetry.

In The Last Decade

A. Coccaro

6 papers receiving 73 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Coccaro Italy	5	66	12	5	5	3	7	74
D. Krücker Germany	4	47 0.7×	15 1.3×	7 1.4×	3 0.6×	1 0.3×	17	61
Jonas Glombitza Germany	5	51 0.8×	11 0.9×	6 1.2×	5 1.0×		9	63
O. Amram United States	4	64 1.0×	35 2.9×	7 1.4×	6 1.2×	4 1.3×	5	79
R. Zhang United States	5	62 0.9×	10 0.8×	4 0.8×	2 0.4×		9	67
D. Sengupta Switzerland	4	34 0.5×	13 1.1×	3 0.6×	4 0.8×	1 0.3×	4	45
P. Gras France	4	91 1.4×	10 0.8×	4 0.8×	2 0.4×	2 0.7×	8	103
T. C. Herwig United States	5	41 0.6×	11 0.9×	6 1.2×	2 0.4×	1 0.3×	10	61
L. Whitehead United Kingdom	7	90 1.4×	8 0.7×	16 3.2×	5 1.0×	3 1.0×	11	107
J. Niedziela Switzerland	3	39 0.6×	10 0.8×	11 2.2×	3 0.6×		9	45
S. Ganguly Japan	5	43 0.7×	11 0.9×	4 0.8×	2 0.4×		6	53

Countries citing papers authored by A. Coccaro

Since Specialization

Citations

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

Fields of papers citing papers by A. Coccaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Coccaro

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

All Works

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7 of 7 papers shown

1.

Coccaro, A., et al.. (2024). Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests. Symmetry. 16(8). 942–942. 4 indexed citations

2.

Coccaro, A., et al.. (2023). Fast neural network inference on FPGAs for triggering on long-lived particles at colliders. Machine Learning Science and Technology. 4(4). 45040–45040. 5 indexed citations

3.

Coccaro, A., Charanjit K. Khosa, Simone Marzani, et al.. (2021). Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane. arXiv (Cornell University). 7 indexed citations

4.

Coccaro, A., M. Pierini, L. Silvestrini, & Riccardo Torre. (2020). The DNNLikelihood: enhancing likelihood distribution with Deep Learning. The European Physical Journal C. 80(7). 16 indexed citations

5.

Calandri, A., R. Zaidan, V. Dao, et al.. (2016). Optimisation of the ATLAS $b$-tagging performance for the 2016 LHC Run. CERN Document Server (European Organization for Nuclear Research). 13 indexed citations

6.

Coccaro, A., David Curtin, H. J. Lubatti, H. L. Russell, & Jessie Shelton. (2016). Data-driven model-independent searches for long-lived particles at the LHC. Physical review. D. 94(11). 29 indexed citations

7.

Coccaro, A.. (2012). Track reconstruction and b-jet identification for the ATLAS trigger system. Journal of Physics Conference Series. 368. 12034–12034.

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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