A. Gianelle

10.5k citations
22 papers · 449 indexed · h-index 7

Impact in

Papers in

A. Gianelle

20 papers receiving 444 citations

Peers

A. Gianelle
Comparison fields: 5 of 74
  • Clinical Biochemistry 39
  • Physiology 25
  • Cellular and Molecular Neuroscience 94
  • Sensory Systems 22
  • Molecular Biology 302
Replace Anushka Michailova with:
Anushka Michailova United States
Swati Roy India
Saadia Ahmed United States
J. W. Stucki Switzerland
Marek Ostaszewski Luxembourg
Geoffrey Mann United States
Marko Kostić Serbia
Stefano Morotti United States
Venkat R. Chirasani United States
Yu. V. Evtodienko Russia
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Citations per field
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Anushka Michailova · 1×
Citations per year

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-authors

The 25 scholars most cited alongside A. Gianelle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Gianelle Line = papers co-authored together A. Gianelle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010326
2 200930
3 202126
4 202221
5 202310
6 20087
7 20116
8 20214
9 20214
10 20212
11
GPGPU opportunities for the LHCb trigger
20142
12 20212
13 20102
14 20241
15 20211
16 20201
17 20221
18 20121
19 20191
20 20141

About A. Gianelle

A. Gianelle is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Information Systems and Management, Computer Networks and Communications and Biophysics, having authored 22 papers that have together received 449 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (12 papers), Particle Detector Development and Performance (11 papers), Distributed and Parallel Computing Systems (7 papers), Parallel Computing and Optimization Techniques (5 papers), Muon and positron interactions and applications (4 papers), Advanced Data Storage Technologies (4 papers), Scientific Computing and Data Management (4 papers) and Dark Matter and Cosmic Phenomena (2 papers). The work is most often cited by research in Clinical Biochemistry (39 citations), Physiology (25 citations), Cellular and Molecular Neuroscience (94 citations), Sensory Systems (22 citations) and Molecular Biology (302 citations). A. Gianelle has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Mario Bortolozzi, Ilaria Drago, Michele Scorzeto, Tullio Pozzan, Paola Pizzo, Marta Giacomello, D. Lucchesi, L. Sestini, D. Zuliani and Paolo Andreetto. Their work appears in journals such as Cells, Molecular Cell, Journal of High Energy Physics, Future Generation Computer Systems and Journal of Physics Conference Series.

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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