A. Gianelle

10.5k total citations
22 papers, 449 citations indexed

About

A. Gianelle is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, A. Gianelle has authored 22 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nuclear and High Energy Physics, 7 papers in Computer Networks and Communications and 5 papers in Hardware and Architecture. Recurrent topics in A. Gianelle's work include Particle physics theoretical and experimental studies (12 papers), Particle Detector Development and Performance (11 papers) and Distributed and Parallel Computing Systems (7 papers). A. Gianelle is often cited by papers focused on Particle physics theoretical and experimental studies (12 papers), Particle Detector Development and Performance (11 papers) and Distributed and Parallel Computing Systems (7 papers). A. Gianelle collaborates with scholars based in Italy, United States and Switzerland. A. Gianelle's co-authors include Marta Giacomello, Ilaria Drago, Michele Scorzeto, Mario Bortolozzi, Tullio Pozzan, Paola Pizzo, D. Lucchesi, L. Sestini, D. Zuliani and Paolo Andreetto and has published in prestigious journals such as Molecular Cell, Journal of High Energy Physics and Cells.

In The Last Decade

A. Gianelle

20 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Gianelle Italy 7 302 94 64 49 40 22 449
Marek Ostaszewski Luxembourg 15 400 1.3× 56 0.6× 16 0.3× 23 0.5× 59 1.5× 48 661
Jörg Ackermann Germany 15 588 1.9× 41 0.4× 46 0.7× 11 0.2× 62 1.6× 50 812
Marko Kostić Serbia 16 299 1.0× 133 1.4× 22 0.3× 29 0.6× 82 2.0× 157 1.1k
Anushka Michailova United States 15 455 1.5× 136 1.4× 33 0.5× 38 0.8× 18 0.5× 32 688
Katja Rateitschak Germany 16 374 1.2× 53 0.6× 41 0.6× 42 0.9× 145 3.6× 28 734
Shailesh R. Agarwal United States 12 425 1.4× 143 1.5× 59 0.9× 47 1.0× 45 1.1× 19 583
Chiemi Watanabe Japan 9 155 0.5× 24 0.3× 14 0.2× 23 0.5× 29 0.7× 39 323
Cheng Fang China 9 226 0.7× 205 2.2× 96 1.5× 30 0.6× 17 0.4× 25 473
Uday S. Evani United States 9 362 1.2× 13 0.1× 51 0.8× 5 0.1× 53 1.3× 10 493
Anne K. Green United Kingdom 11 227 0.8× 49 0.5× 29 0.5× 37 0.8× 19 0.5× 18 406

Countries citing papers authored by A. Gianelle

Since Specialization
Citations

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

Fields of papers citing papers by A. Gianelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

20 of 20 papers shown
1.
Casarsa, M., Paolo Andreetto, L. Buonincontri, et al.. (2024). Higgs physics prospects at a 3 TeV muon collider. CERN Document Server (European Organization for Nuclear Research). 408–408. 1 indexed citations
2.
Shin, Sang Hun, Camilla Bean, Rodrigo S. Lacruz, et al.. (2023). High-Throughput Microscopy Analysis of Mitochondrial Membrane Potential in 2D and 3D Models. Cells. 12(7). 1089–1089. 10 indexed citations
3.
Sestini, L., I. Sarra, Paolo Andreetto, et al.. (2022). Design a calorimeter system for the Muon Collider experiment. Research Padua Archive (University of Padua). 776–776. 1 indexed citations
4.
Sestini, L., et al.. (2021). Quantum-inspired machine learning on high-energy physics data. Padua Research Archive (University of Padova). 26 indexed citations
5.
Buonincontri, L., Paolo Andreetto, N. Bartosik, et al.. (2021). Higgs boson couplings at muon collider. CERN Document Server (European Organization for Nuclear Research). 619–619. 2 indexed citations
6.
Collamati, F., C. Aimè, Paolo Andreetto, et al.. (2021). A flexible tool for Beam Induced Background Simulations at a Muon Collider. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 684–684. 1 indexed citations
7.
Bartosik, N., Paolo Andreetto, L. Buonincontri, et al.. (2021). Full Detector Simulation with Unprecedented Background Occupancy at a Muon Collider. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5(1). 4 indexed citations
8.
Sestini, L., Paolo Andreetto, C. Curatolo, et al.. (2021). Higgs physics possibilities at a Muon Collider. Aisberg (University of Bergamo). 83–83. 2 indexed citations
9.
Lucchesi, D., N. Bartosik, M. Casarsa, et al.. (2020). Detector Performances Studies at Muon Collider. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 118–118. 1 indexed citations
10.
Bartosik, N., N. Pastrone, A. Bertolin, et al.. (2019). Study of Physics Performances at Muon Collider. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 127–127. 1 indexed citations
11.
Gallorini, S., et al.. (2017). First experiences with a parallel architecture testbed in the LHCb trigger system. Journal of Physics Conference Series. 898. 32029–32029.
12.
Badalov, A., G. Collazuol, A. Gianelle, et al.. (2014). GPGPU opportunities for the LHCb trigger. CERN Bulletin. 2 indexed citations
13.
Amerio, S., D. Bastieri, M. Corvo, et al.. (2014). Many-core applications to online track reconstruction in HEP experiments. Journal of Physics Conference Series. 513(1). 12002–12002. 1 indexed citations
14.
Andreetto, Paolo, Marco Cecchi, E Frizziero, et al.. (2012). New developments in the CREAM Computing Element. Journal of Physics Conference Series. 396(3). 32004–32004. 1 indexed citations
15.
Andreetto, Paolo, Marco Cecchi, A. Dorigo, et al.. (2011). Status and Developments of the CREAM Computing Element Service. Journal of Physics Conference Series. 331(6). 62024–62024. 6 indexed citations
16.
Andreetto, Paolo, M. Bauce, Marco Cecchi, et al.. (2011). Design and Evaluation in a Real Use-case of Closed-loop Scheduling Algorithms for the gLite Workload Management System. Journal of Physics Conference Series. 331(6). 62029–62029.
17.
Giacomello, Marta, Ilaria Drago, Mario Bortolozzi, et al.. (2010). Ca2+ Hot Spots on the Mitochondrial Surface Are Generated by Ca2+ Mobilization from Stores, but Not by Activation of Store-Operated Ca2+ Channels. Molecular Cell. 38(2). 280–290. 326 indexed citations
18.
Andreetto, Paolo, A. Dorigo, E Frizziero, et al.. (2010). Using CREAM and CEMonitor for job submission and management in the gLite middleware. Journal of Physics Conference Series. 219(6). 62001–62001. 2 indexed citations
19.
Andreetto, Paolo, E Frizziero, A. Gianelle, et al.. (2009). Design and implementation of the gLite CREAM job management service. Future Generation Computer Systems. 26(4). 654–667. 30 indexed citations
20.
Andreetto, Paolo, S. Da Ronco, A. Dorigo, et al.. (2008). Job submission and management through web services: the experience with the CREAM service. Journal of Physics Conference Series. 119(6). 62004–62004. 7 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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