A. Bocci

12.3k total citations
10 papers, 26 citations indexed

About

A. Bocci is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Hardware and Architecture. According to data from OpenAlex, A. Bocci has authored 10 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Nuclear and High Energy Physics and 4 papers in Hardware and Architecture. Recurrent topics in A. Bocci's work include Distributed and Parallel Computing Systems (6 papers), Particle Detector Development and Performance (4 papers) and Parallel Computing and Optimization Techniques (4 papers). A. Bocci is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Particle Detector Development and Performance (4 papers) and Parallel Computing and Optimization Techniques (4 papers). A. Bocci collaborates with scholars based in Switzerland, United States and Italy. A. Bocci's co-authors include W. Hulsbergen, M. J. Kortelainen, F. Pantaleo, Vincenzo Innocente, D. Dagenhart, M. Rovere, Christopher Jones, W. Redjeb, G. Parrini and R. D’Alessandro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and The Breast.

In The Last Decade

A. Bocci

9 papers receiving 25 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Bocci Switzerland	3	14	10	6	3	3	10	26
M. Duranti Italy	4	19 1.4×	12 1.2×	6 1.0×	2 0.7×		14	30
M. Bluj Poland	4	17 1.2×	8 0.8×	7 1.2×	4 1.3×		9	23
T. Breitner Germany	3	27 1.9×	18 1.8×	4 0.7×	2 0.7×	3 1.0×	5	35
J. de Cuveland Germany	3	14 1.0×	8 0.8×	3 0.5×	3 1.0×		3	19
G. Gomez Ceballos United States	3	18 1.3×	16 1.6×	6 1.0×	2 0.7×		18	34
R. Fantechi Italy	3	20 1.4×	12 1.2×	3 0.5×	3 1.0×		16	28
P. Catastini Italy	3	14 1.0×	8 0.8×	3 0.5×	2 0.7×		6	14
R. Schwemmer Switzerland	2	20 1.4×	18 1.8×	4 0.7×	4 1.3×		3	24
K. Buńkowski Poland	4	19 1.4×	7 0.7×	6 1.0×	4 1.3×		6	22
Dieter Roehrich Norway	4	18 1.3×	8 0.8×	3 0.5×	3 1.0×		7	27

Countries citing papers authored by A. Bocci

Since Specialization

Citations

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

Fields of papers citing papers by A. Bocci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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10 of 10 papers shown

Bocci, A., Christopher Jones, & M. J. Kortelainen. (2024). Performance of Heterogeneous Algorithm Scheduling in CMSSW. SHILAP Revista de lepidopterología. 295. 11017–11017.

Bocci, A., E. Cano, G. Hugo, et al.. (2024). Evaluating Performance Portability with the CMS Heterogeneous Pixel Reconstruction code. SHILAP Revista de lepidopterología. 295. 11008–11008. 1 indexed citations

Bocci, A.. (2023). CMS High Level Trigger performance comparison on CPUs and GPUs. Journal of Physics Conference Series. 2438(1). 12016–12016. 2 indexed citations

Bocci, A., Antonio Di Pilato, F. Pantaleo, et al.. (2023). Performance portability for the CMS Reconstruction with Alpaka. Journal of Physics Conference Series. 2438(1). 12058–12058. 2 indexed citations

Alves, Bruno Afonso Fontana Santos, A. Bocci, M. J. Kortelainen, F. Pantaleo, & M. Rovere. (2021). Heterogeneous techniques for rescaling energy deposits in the CMS Phase-2 endcap calorimeter. SHILAP Revista de lepidopterología. 251. 4017–4017. 1 indexed citations

Bocci, A., D. Dagenhart, Vincenzo Innocente, et al.. (2020). Bringing heterogeneity to the CMS software framework. SHILAP Revista de lepidopterología. 245. 5009–5009. 8 indexed citations

Bocci, A. & W. Hulsbergen. (2007). TRT alignment for SR1 cosmics and beyond. CERN Bulletin. 6 indexed citations

Sio, A. De, A. Bocci, P. Bruno, et al.. (2007). Towards UV imaging sensors based on single-crystal diamond chips for spectroscopic applications. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 583(1). 125–130. 3 indexed citations

Paoletti, S., G. Parrini, R. D’Alessandro, & A. Bocci. (2004). The powering scheme of the CMS tracker. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations

10.

Sandrucci, Sergio, M. Bellò, Sherry Danese, et al.. (1997). Predictive value of the sentinel node biopsy in axillary staging of T1-T2 breast cancer. A preliminary experience. The Breast. 6(5). 314–314. 2 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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