Abrar Gani

About

Abrar Gani is a scholar working on Surgery, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Abrar Gani has authored 3 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Biomedical Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Abrar Gani’s work include COVID-19 diagnosis using AI (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Neonatal and Maternal Infections (1 paper). Abrar Gani is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Neonatal and Maternal Infections (1 paper). Abrar Gani collaborates with scholars based in United Kingdom and India. Abrar Gani's co-authors include Deepraj Chowdhury, Marie J. Parsons, Georgia Lucas, Andrea Annoni and Sukhpal Singh Gill and has published in prestigious journals such as Annals of Medicine and Surgery.

In The Last Decade

Fields of papers citing papers by Abrar Gani

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 Abrar Gani. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Abrar Gani may publish in the future.

Countries citing papers authored by Abrar Gani

Since Specialization

Citations

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

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