A. Gianelle

11.2k citations
23 papers · 503 · h-index 7

Impact in

Papers in

A. Gianelle

21 papers receiving 496 citations

Peers

A. Gianelle
Comparison fields: 5 of 78
  • Clinical Biochemistry 37
  • Cellular and Molecular Neuroscience 99
  • Sensory Systems 25
  • Physiology 24
  • Hardware and Architecture 34
Replace Anushka Michailova with:
Anushka Michailova United States
Manami Suzuki Japan
Daisuke Sato United States
Kensuke Kojima Japan
Marek Ostaszewski Luxembourg
Rohit Kumar Germany
Jean-Christophe Ducom United States
J. W. Stucki Switzerland
Marko Kostić Serbia
Lior Almagor Israel
A. Gianelle relative to Anushka Michailova United States Anushka Michailova's profile →
Citations per field
00.5×10×15×18.5×
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010343
2 200932
3 200531
4 202127
5 202221
6 202312
7 20088
8 20116
9 20214
10 20214
11 20102
12 20212
13 20212
14
GPGPU opportunities for the LHCb trigger
20142
15 20141
16 20241
17 20201
18 20221
19 20191
20 20121

About A. Gianelle

A. Gianelle is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Information Systems and Management, Hardware and Architecture and Mechanics of Materials, having authored 23 papers that have together received 503 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 (8 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (5 papers), Scientific Computing and Data Management (5 papers), Muon and positron interactions and applications (4 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Clinical Biochemistry (37 citations), Cellular and Molecular Neuroscience (99 citations), Sensory Systems (25 citations), Physiology (24 citations) and Hardware and Architecture (34 citations). A. Gianelle has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Marta Giacomello, Michele Scorzeto, Mario Bortolozzi, Paola Pizzo, Ilaria Drago, Tullio Pozzan, L. Sestini, D. Lucchesi, D. Zuliani and Paolo Andreetto. Their work appears in journals such as Journal of High Energy Physics, Future Generation Computer Systems, Cells, Molecular Cell 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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