Eva Cernadas

46 papers and 2.2k indexed citations i.

About

Eva Cernadas is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eva Cernadas has authored 46 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Molecular Biology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eva Cernadas’s work include Identification and Quantification in Food (8 papers), Spectroscopy and Chemometric Analyses (8 papers) and Meat and Animal Product Quality (6 papers). Eva Cernadas is often cited by papers focused on Identification and Quantification in Food (8 papers), Spectroscopy and Chemometric Analyses (8 papers) and Meat and Animal Product Quality (6 papers). Eva Cernadas collaborates with scholars based in Spain, Portugal and Jordan. Eva Cernadas's co-authors include Manuel Fernández-Delgado, Senén Barro, Manisha Sirsat, Manuel Febrero–Bande, Sadi Alawadi, Teresa Antequera, Arno Formella, Pablo G. Rodríguez, Rehanullah Khan and Elena Muriel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Eva Cernadas i

Fields of papers citing papers by Eva Cernadas

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

Countries citing papers authored by Eva Cernadas

Since Specialization
Citations

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

Rankless by CCL
2025