Sarah Rajala
About
Sarah Rajala is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing.
According to data from OpenAlex, Sarah Rajala has authored 12 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 3 papers in Signal Processing. Recurrent topics in Sarah Rajala’s work include Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Sarah Rajala is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Sarah Rajala collaborates with scholars based in United States. Sarah Rajala's co-authors include Rui Pimentel de Figueiredo, Griff L. Bilbro, S.T. Alexander, Wesley E. Snyder, Peter Santago, Richard M. Felder, Rebecca Brent, Robert Moorhead, Larry T. Cook and W.E. Snyder and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Pattern Recognition Letters and Image and Vision Computing.
In The Last Decade
Co-authorship network of co-authors of Sarah Rajala i
Fields of papers citing papers by Sarah Rajala
Since SpecializationEngineeringComputer 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 Sarah Rajala. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sarah Rajala may publish in the future.
Countries citing papers authored by Sarah Rajala
Since SpecializationCitations
This map shows the geographic impact of Sarah Rajala'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 Sarah Rajala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Rajala more than expected).
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