Kaniz Fatema

About

Kaniz Fatema is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kaniz Fatema has authored 21 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kaniz Fatema’s work include Digital Imaging for Blood Diseases (4 papers), Topic Modeling (3 papers) and Essential Oils and Antimicrobial Activity (3 papers). Kaniz Fatema is often cited by papers focused on Digital Imaging for Blood Diseases (4 papers), Topic Modeling (3 papers) and Essential Oils and Antimicrobial Activity (3 papers). Kaniz Fatema collaborates with scholars based in Bangladesh, Australia and United States. Kaniz Fatema's co-authors include Sami Azam, Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Mirjam Jonkman and Md. Zahid Hasan and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Access.

In The Last Decade

Fields of papers citing papers by Kaniz Fatema

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

Countries citing papers authored by Kaniz Fatema

Since Specialization

Citations

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

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