Rachida Saouli

About

Rachida Saouli is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rachida Saouli has authored 11 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rachida Saouli’s work include Medical Image Segmentation Techniques (4 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiovascular Function and Risk Factors (2 papers). Rachida Saouli is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiovascular Function and Risk Factors (2 papers). Rachida Saouli collaborates with scholars based in Algeria, France and Tunisia. Rachida Saouli's co-authors include Mohamed Akil, Mostefa Ben Naceur, Mohamed Hédi Bedoui, Rostom Kachouri and Jean Cousty and has published in prestigious journals such as Medical Image Analysis, Computer Methods and Programs in Biomedicine and Computerized Medical Imaging and Graphics.

In The Last Decade

Fields of papers citing papers by Rachida Saouli

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

Countries citing papers authored by Rachida Saouli

Since Specialization

Citations

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

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