Umme Sara

About

Umme Sara is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Umme Sara has authored 7 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Umme Sara’s work include Artificial Intelligence in Healthcare (2 papers), Context-Aware Activity Recognition Systems (1 paper) and AI in cancer detection (1 paper). Umme Sara is often cited by papers focused on Artificial Intelligence in Healthcare (2 papers), Context-Aware Activity Recognition Systems (1 paper) and AI in cancer detection (1 paper). Umme Sara collaborates with scholars based in Bangladesh. Umme Sara's co-authors include Mohammad Shorif Uddin, Saiful Islam, Abu Bakkar Siddik, Anichur Rahman and Morium Akter and has published in prestigious journals such as Data in Brief.

In The Last Decade

Fields of papers citing papers by Umme Sara

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

Countries citing papers authored by Umme Sara

Since Specialization

Citations

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

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