Mercedes Gimeno-Segovia

About

Mercedes Gimeno-Segovia is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Mercedes Gimeno-Segovia has authored 9 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Mercedes Gimeno-Segovia’s work include Quantum Information and Cryptography (8 papers), Quantum Computing Algorithms and Architecture (5 papers) and Neural Networks and Reservoir Computing (4 papers). Mercedes Gimeno-Segovia is often cited by papers focused on Quantum Information and Cryptography (8 papers), Quantum Computing Algorithms and Architecture (5 papers) and Neural Networks and Reservoir Computing (4 papers). Mercedes Gimeno-Segovia collaborates with scholars based in United Kingdom, Canada and Australia. Mercedes Gimeno-Segovia's co-authors include Terry Rudolph, Hugo Cable, Pete Shadbolt, Dan E. Browne and Hussain Anwar and has published in prestigious journals such as Physical Review Letters, Nature Communications and New Journal of Physics.

In The Last Decade

Fields of papers citing papers by Mercedes Gimeno-Segovia

Since Specialization

EngineeringComputer 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 Mercedes Gimeno-Segovia. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mercedes Gimeno-Segovia may publish in the future.

Countries citing papers authored by Mercedes Gimeno-Segovia

Since Specialization

Citations

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

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