P. Traina

1.2k citations
51 papers · 701 · h-index 15

Impact in

Papers in

P. Traina

46 papers receiving 693 citations

Peers

P. Traina
Comparison fields: 5 of 73
  • Acoustics and Ultrasonics 47
  • Instrumentation 54
  • Atomic and Molecular Physics, and Optics 360
  • Biophysics 52
  • Artificial Intelligence 223
Replace Ekaterina Moreva with:
Ekaterina Moreva Italy
P. Zarda Germany
Sebastian Knauer Austria
Samuel Gyger Sweden
Xiaolong Hu China
Oliver Kahl Germany
Vadim Kovalyuk Russia
A. Dussaux France
Wenyuan Zhou China
Simeon Bogdanov United States
P. Traina relative to Ekaterina Moreva Italy Ekaterina Moreva's profile →
Citations per field
00.5×1.5×1.9×
Ekaterina Moreva · 1×
Citations per year

Countries citing papers authored by P. Traina

Since Specialization
Citations

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

Fields of papers citing papers by P. Traina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Traina, 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 P. Traina Line = papers co-authored together P. Traina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201496
2 201868
3 201148
4 202247
5 202046
6 201242
7 200934
8 201131
9 201027
10 201824
11 201421
12 201518
13 202217
14 202017
15 201714
16 200814
17 202113
18 201513
19 201611
20 202410

About P. Traina

P. Traina is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Artificial Intelligence, Computational Mechanics and Biomedical Engineering, having authored 51 papers that have together received 701 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (25 papers), Quantum Information and Cryptography (20 papers), Quantum Mechanics and Applications (14 papers), Force Microscopy Techniques and Applications (10 papers), Advanced Fiber Laser Technologies (7 papers), Quantum Computing Algorithms and Architecture (6 papers), Ion-surface interactions and analysis (6 papers) and Cold Atom Physics and Bose-Einstein Condensates (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (47 citations), Instrumentation (54 citations), Atomic and Molecular Physics, and Optics (360 citations), Biophysics (52 citations) and Artificial Intelligence (223 citations). P. Traina has collaborated with scholars based in Italy, Germany and Czechia. Frequent co-authors include Marco Genovese, Ivo Pietro Degiovanni, G. Brida, Ekaterina Moreva, J. Forneris, P. Olivero, Marco Gramegna, Ivano Ruo Berchera, S. Ditalia Tchernij and Ettore Bernardi. Their work appears in journals such as Physical Review A, Advanced Quantum Technologies, Scientific Reports, New Journal of Physics and ACS Photonics.

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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