M. Amniat-Talab

464 citations
42 papers · 382 indexed · h-index 12

M. Amniat-Talab

40 papers receiving 371 citations

Peers

M. Amniat-Talab
Comparison fields: 5 of 25
  • Atomic and Molecular Physics, and Optics 327
  • Artificial Intelligence 264
  • Condensed Matter Physics 41
  • Statistical and Nonlinear Physics 27
  • Electronic, Optical and Magnetic Materials 17
Replace Haifeng Yu with:
Haifeng Yu China
V. I. Shnyrkov Ukraine
Pascal Scholl United States
D. Vion France
Martina Esposito Italy
Han-Ning Dai China
Hiraku Toida Japan
Elena Ferraro Italy
Hugo Ribeiro Germany
Diego Barberena United States
M. Amniat-Talab relative to Haifeng Yu China Haifeng Yu's profile →
Citations per field
00.5×4.5×
Haifeng Yu · 1×
Citations per year

Countries citing papers authored by M. Amniat-Talab

Since Specialization
Citations

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

Fields of papers citing papers by M. Amniat-Talab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Amniat-Talab. 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 M. Amniat-Talab. The network helps show where M. Amniat-Talab may publish in the future.

Co-authorship network

The 14 scholars most cited alongside M. Amniat-Talab, 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 M. Amniat-Talab Line = papers co-authored together M. Amniat-Talab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20236
3 20231
4 20224
5 20212
6 20201
7 20201
8 20193
9 20185
10 201510
11 20158
12 20152
13 20135
14 201210
15 201125
16 201115
17 200912
18 20076
19 20065
20 200414

About M. Amniat-Talab

M. Amniat-Talab is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Nuclear and High Energy Physics, having authored 42 papers that have together received 382 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (30 papers), Quantum optics and atomic interactions (18 papers), Quantum Mechanics and Applications (12 papers), Laser-Matter Interactions and Applications (8 papers), Quantum Computing Algorithms and Architecture (8 papers), Cold Atom Physics and Bose-Einstein Condensates (6 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (327 citations), Artificial Intelligence (264 citations) and Condensed Matter Physics (41 citations). M. Amniat-Talab has collaborated with scholars based in Iran and France. Frequent co-authors include S. Guérin, H. R. Jauslin, Nicolas Sangouard, Hans-Rudolf Jauslin, H. Sedghi, R. Naderali, Mir Maqsood Golzan, N. Irani, L. P. Yatsenko and H. R. Jauslin. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics 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.

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