S. Amin Moosavi

428 citations
8 papers · 293 indexed · 1 hit paper · h-index 6
Topics
Neural dynamics and brain function (5 papers)Functional Brain Connectivity Studies (2 papers)stochastic dynamics and bifurcation (2 papers)
Partner nations
IranUnited StatesSpain

In The Last Decade

S. Amin Moosavi

7 papers receiving 272 citations

Hit Papers

Generalized entropy formalism and a new holographic dark ...2018202620202023201850100150200

Peers

S. Amin Moosavi
Comparison fields: 5 of 43
  • Astronomy and Astrophysics 223
  • Nuclear and High Energy Physics 186
  • Statistical and Nonlinear Physics 89
  • Cognitive Neuroscience 32
  • Atomic and Molecular Physics, and Optics 13
Replace A.A. Kapustnikov with:
A.A. Kapustnikov Russia
Ricardo G. Landim Brazil
Ivano Lodato India
Ross Dempsey United States
Gavin S. Hartnett United States
Floriana Giannuzzi Italy
Nicholas J. Teh United Kingdom
Katherine Jones-Smith United States
Vesselin Petkov Canada
Subinoy Das India
S. Amin Moosavi relative to A.A. Kapustnikov Russia A.A. Kapustnikov's profile →
Citations per field
00.5×10×15×20×24.5×
A.A. Kapustnikov · 1×
Citations per year

Countries citing papers authored by S. Amin Moosavi

Since Specialization
Citations

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

Fields of papers citing papers by S. Amin Moosavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Amin Moosavi. 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 S. Amin Moosavi. The network helps show where S. Amin Moosavi may publish in the future.

Co-authorship network of co-authors of S. Amin Moosavi

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2 9
3 16
4
A unifying framework for mean-field theories of asymmetric kinetic Ising systems
24
5 3
6
Generalized entropy formalism and a new holographic dark energy modelbreakdown →
226
7 7
8 8

About S. Amin Moosavi

S. Amin Moosavi is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Condensed Matter Physics, having authored 8 papers that have together received 293 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Functional Brain Connectivity Studies (2 papers) and stochastic dynamics and bifurcation (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (186 citations), Astronomy and Astrophysics (223 citations) and Statistical and Nonlinear Physics (89 citations). S. Amin Moosavi has collaborated with scholars based in Iran, United States and Spain. Frequent co-authors include H. Moradpour, Iarley P. Lobo, Ines G. Salako, Abdul Jawad, A. Sayahian Jahromi, J. P. Morais Graça, Hideaki Shimazaki, Wilson Truccolo, Viktor Jirsa and Alireza Valizadeh. Their work appears in journals such as PLoS ONE, Scientific Reports and Physics Letters B.

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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