R. Grassi

1.3k citations
14 papers · 553 indexed · h-index 10

Impact in

Papers in

R. Grassi

13 papers receiving 502 citations

Peers

R. Grassi
Comparison fields: 5 of 38
  • History and Philosophy of Science 99
  • Atomic and Molecular Physics, and Optics 525
  • Statistical and Nonlinear Physics 177
  • Artificial Intelligence 249
  • Physiology 178
Replace Gian Carlo Ghirardi with:
Gian Carlo Ghirardi Italy
Guido Bacciagaluppi United Kingdom
P. N. Kaloyerou United Kingdom
Willem M. de Muynck Netherlands
Guillaume Adenier Italy
Ruth E. Kastner United States
Travis Norsen United States
Rob Clifton United States
Valia Allori United States
C. Piron Switzerland
R. Grassi relative to Gian Carlo Ghirardi Italy Gian Carlo Ghirardi's profile →
Citations per field
00.5×1.5×2.3×
Gian Carlo Ghirardi · 1×
Citations per year

Countries citing papers authored by R. Grassi

Since Specialization
Citations

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

Fields of papers citing papers by R. Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside R. Grassi, 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 R. Grassi Line = papers co-authored together R. Grassi links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 19957
2 19950
3 1995146
4
Describing the macroscopic world: Closing the circle within the dynamical reduction program
19946
5 199413
6 199425
7 199324
8 199320
9 199312
10 19927
11 199135
12 1990141
13 199087
14 198830

About R. Grassi

R. Grassi is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Nuclear and High Energy Physics and Physical and Theoretical Chemistry, having authored 14 papers that have together received 553 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (12 papers), Quantum Information and Cryptography (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Biofield Effects and Biophysics (2 papers), Quantum optics and atomic interactions (2 papers), Neural dynamics and brain function (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in History and Philosophy of Science (99 citations), Atomic and Molecular Physics, and Optics (525 citations), Statistical and Nonlinear Physics (177 citations), Artificial Intelligence (249 citations) and Physiology (178 citations). R. Grassi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include G. C. Ghirardi, A. Rimini, Fabio Benatti, Philip Pearle, A. Borsellino, Gordon N. Fleming, T. Weber, Jeremy Butterfield, W. Scandale and Nicolas Gisin. Their work appears in journals such as Physics Letters A, Studies in History and Philosophy of Science Part A, Physics Today, Europhysics Letters (EPL) and Physical Review A.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026