Ehsan Zahedinejad

435 citations
12 papers · 248 · h-index 7

Impact in

Papers in

Ehsan Zahedinejad

12 papers receiving 240 citations

Peers

Ehsan Zahedinejad
Comparison fields: 5 of 28
  • Artificial Intelligence 204
  • Atomic and Molecular Physics, and Optics 134
  • Radiation 20
  • Statistical and Nonlinear Physics 17
  • Aerospace Engineering 29
Replace Yunfei Pu with:
Yunfei Pu China
J. Solomon Ivan India
Nurul T. Islam United States
M. Stadler Switzerland
Futian Liang China
Xingyao Wu Singapore
Christoph Vo Germany
Ian Hincks Canada
S. R. P. Mohapatra United Kingdom
Sho Uemura United States
Ehsan Zahedinejad relative to Yunfei Pu China Yunfei Pu's profile →
Citations per field
00.5×8.5×
Yunfei Pu · 1×
Citations per year

Countries citing papers authored by Ehsan Zahedinejad

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Zahedinejad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Ehsan Zahedinejad, 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 Ehsan Zahedinejad Line = papers co-authored together Ehsan Zahedinejad links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201589
2 201753
3 201451
4 201017
5 201814
6 20209
7 20107
8 20103
9 20092
10
Free Energy-Based Reinforcement Learning Using Quantum Monte Carlo and Quantum Annealing
20181
11 20101
12 20101

About Ehsan Zahedinejad

Ehsan Zahedinejad is a scholar working on Artificial Intelligence, Aerospace Engineering, Atomic and Molecular Physics, and Optics, Safety, Risk, Reliability and Quality and Materials Chemistry, having authored 12 papers that have together received 248 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Nuclear reactor physics and engineering (5 papers), Quantum Information and Cryptography (5 papers), Nuclear and radioactivity studies (3 papers), Quantum and electron transport phenomena (2 papers), Nuclear Materials and Properties (2 papers), Graphite, nuclear technology, radiation studies (2 papers) and Nuclear Physics and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (204 citations), Atomic and Molecular Physics, and Optics (134 citations), Radiation (20 citations), Statistical and Nonlinear Physics (17 citations) and Aerospace Engineering (29 citations). Ehsan Zahedinejad has collaborated with scholars based in Iran, Canada and China. Frequent co-authors include Barry C. Sanders, Joydip Ghosh, S. G. Schirmer, Péter Wittek, Naser Vosoughi, Raymond J. Spiteri, Moslem Noori, Hadi Davilu and Inderpreet Singh. Their work appears in journals such as Annals of Nuclear Energy, Physical Review Applied, Physical Review A, New Journal of Physics and Physical Review Letters.

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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