Saeed Fallahi

2.7k citations
65 papers · 1.5k · h-index 22

Impact in

Papers in

Saeed Fallahi

63 papers receiving 1.5k citations

Peers

Saeed Fallahi
Comparison fields: 5 of 78
  • Atomic and Molecular Physics, and Optics 1.1k
  • Artificial Intelligence 541
  • Condensed Matter Physics 142
  • Filtration and Separation 20
  • Electrical and Electronic Engineering 503
Replace Jinn‐Liang Liu with:
Jinn‐Liang Liu Taiwan
Vladimir V. Ulyanov Russia
Martin Horsch Germany
Robert Sims United States
Kenta Takeda Japan
Petr Plecháč United States
Thomas E. Baker United States
Chong Sun China
Saeed Fallahi relative to Jinn‐Liang Liu Taiwan Jinn‐Liang Liu's profile →
Citations per field
00.5×10×15×20×23.5×
Jinn‐Liang Liu · 1×
Citations per year

Countries citing papers authored by Saeed Fallahi

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Fallahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015191
2 2016169
3 201895
4 201970
5 201967
6 201667
7 201761
8 201154
9 201651
10 202149
11 202143
12 201041
13 201935
14 202135
15 201732
16 202230
17 201728
18 202126
19 202225
20 201823

About Saeed Fallahi

Saeed Fallahi is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Numerical Analysis and Condensed Matter Physics, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (31 papers), Semiconductor Quantum Structures and Devices (12 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers), Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (9 papers), Advanced Optimization Algorithms Research (6 papers), Physics of Superconductivity and Magnetism (6 papers) and Advanced Condensed Matter Physics (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Artificial Intelligence (541 citations), Condensed Matter Physics (142 citations), Filtration and Separation (20 citations) and Electrical and Electronic Engineering (503 citations). Saeed Fallahi has collaborated with scholars based in United States, Iran and Denmark. Frequent co-authors include Michael J. Manfra, Geoffrey C. Gardner, Ferdinand Kuemmeth, G. C. Gardner, Frederico Martins, Peter D. Nissen, Filip K. Malinowski, C. M. Marcus, John Watson and H. Ghanadzadeh. Their work appears in journals such as Physical Review Letters, Nature Communications, Physical review. B., Kybernetika and Physical Review Applied.

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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