Muhammad Umair

9 papers and 244 indexed citations i.

About

Muhammad Umair is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Sociology and Political Science. According to data from OpenAlex, Muhammad Umair has authored 9 papers receiving a total of 244 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 Sociology and Political Science. Recurrent topics in Muhammad Umair’s work include Smart Grid Energy Management (2 papers), Misinformation and Its Impacts (2 papers) and IoT and Edge/Fog Computing (2 papers). Muhammad Umair is often cited by papers focused on Smart Grid Energy Management (2 papers), Misinformation and Its Impacts (2 papers) and IoT and Edge/Fog Computing (2 papers). Muhammad Umair collaborates with scholars based in Australia, Pakistan and South Korea. Muhammad Umair's co-authors include Muhammad Aamir Cheema, Bilal Afzal, Ghalib A. Shah, Ejaz Ahmed, Huan Li, Hua Lu, Ali Hussain Kazim, Muhammad Asim, Muhammad Usman and Muhammad Farooq and has published in prestigious journals such as Sensors, Chaos Solitons & Fractals and Electronics Letters.

In The Last Decade

Co-authorship network of co-authors of Muhammad Umair i

Fields of papers citing papers by Muhammad Umair

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

Countries citing papers authored by Muhammad Umair

Since Specialization
Citations

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

Rankless by CCL
2025