Rabbia Mahum

About

Rabbia Mahum is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Rabbia Mahum has authored 26 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Rabbia Mahum’s work include Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers) and Digital Imaging for Blood Diseases (4 papers). Rabbia Mahum is often cited by papers focused on Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers) and Digital Imaging for Blood Diseases (4 papers). Rabbia Mahum collaborates with scholars based in Pakistan, Saudi Arabia and China. Rabbia Mahum's co-authors include Marriam Nawaz, Aun Irtaza, Momina Masood, AbdulMalik S. Al‐Salman and Tahira Nazir and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Fields of papers citing papers by Rabbia Mahum

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

Countries citing papers authored by Rabbia Mahum

Since Specialization

Citations

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

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