M. Baig

566 citations
14 papers · 403 · h-index 11

Impact in

    • Quantum Information and Cryptography
    • Quantum Computing Algorithms and Architecture
    • Neural Networks and Reservoir Computing
    • Quantum Mechanics and Applications
    • Quantum optics and atomic interactions
    • Laser-Matter Interactions and Applications
    • Quantum and electron transport phenomena
    • Atomic and Subatomic Physics Research

Papers in

M. Baig

14 papers receiving 388 citations

Peers

M. Baig
Comparison fields: 5 of 28
  • Artificial Intelligence 376
  • Atomic and Molecular Physics, and Optics 353
  • Acoustics and Ultrasonics 2
  • Statistical and Nonlinear Physics 19
  • Statistics and Probability 11
Replace Lech Jakóbczyk with:
Lech Jakóbczyk Poland
Masaki Owari Japan
W. Miklaszewski Poland
Adam Bouland United States
Michał Oszmaniec Poland
Biswajit Dutta India
Ping Zou China
Christoph Spengler Austria
Juan Bermejo-Vega Germany
Preeti Parashar India
M. Baig relative to Lech Jakóbczyk Poland Lech Jakóbczyk's profile →
Citations per field
00.5×1.6×
Lech Jakóbczyk · 1×
Citations per year

Countries citing papers authored by M. Baig

Since Specialization
Citations

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

Fields of papers citing papers by M. Baig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200566
2 200152
3 200142
4 200442
5 200041
6 200432
7 200227
8 200624
9 200323
10 200121
11 200421
12 19859
13 20012
14 20201

About M. Baig

M. Baig is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistics and Probability, Condensed Matter Physics and Mechanics of Materials, having authored 14 papers that have together received 403 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Quantum Mechanics and Applications (8 papers), Quantum Computing Algorithms and Architecture (7 papers), Laser-Matter Interactions and Applications (2 papers), Random Matrices and Applications (2 papers), Atomic and Molecular Physics (1 paper), Theoretical and Computational Physics (1 paper) and Quantum optics and atomic interactions (1 paper). The work is most often cited by research in Artificial Intelligence (376 citations), Atomic and Molecular Physics, and Optics (353 citations), Acoustics and Ultrasonics (2 citations), Statistical and Nonlinear Physics (19 citations) and Statistics and Probability (11 citations). M. Baig has collaborated with scholars based in Spain, United Kingdom and Pakistan. Frequent co-authors include E. Bagán, R. Muñoz-Tapia, Lluís Masanes, Antonio Acín, R. Tarrach, Alberto Rodríguez, Joonwoo Bae, Haroon Asghar and Raheel Ali. Their work appears in journals such as Physical Review A, Physical Review Letters, Laser Physics and Optical Fiber Communication Conference and International Conference on Quantum Information.

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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