M. Baig
About
M. Baig is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistics and Probability.
According to data from OpenAlex, M. Baig has authored 15 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 12 papers in Artificial Intelligence and 2 papers in Statistics and Probability. Recurrent topics in M. Baig’s work include Quantum Information and Cryptography (12 papers), Quantum Mechanics and Applications (9 papers) and Quantum Computing Algorithms and Architecture (7 papers). M. Baig is often cited by papers focused on Quantum Information and Cryptography (12 papers), Quantum Mechanics and Applications (9 papers) and Quantum Computing Algorithms and Architecture (7 papers). M. Baig collaborates with scholars based in Spain and United Kingdom. M. Baig's co-authors include E. Bagán, R. Muñoz-Tapia, R. Tarrach, Antonio Acín and Lluís Masanes and has published in prestigious journals such as Physical Review Letters, Physical Review A and Laser Physics.
In The Last Decade
Fields of papers citing papers by M. Baig
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by M. Baig. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where M. Baig may publish in the future.
Countries citing papers authored by M. Baig
Since SpecializationCitations
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).
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