Amélie Marian

About

Amélie Marian is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Amélie Marian has authored 21 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 10 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Amélie Marian’s work include Data Management and Algorithms (11 papers), Advanced Database Systems and Queries (9 papers) and Data Quality and Management (4 papers). Amélie Marian is often cited by papers focused on Data Management and Algorithms (11 papers), Advanced Database Systems and Queries (9 papers) and Data Quality and Management (4 papers). Amélie Marian collaborates with scholars based in United States, The Netherlands and France. Amélie Marian's co-authors include Luis Gravano, Nicolas Bruno, Alban Galland, Serge Abiteboul, Pierre Senellart, Surajit Chaudhuri, Divesh Srivastava, Nick Koudas, David Toman and Sihem Amer-Yahia and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.

In The Last Decade

Co-authorship network of co-authors of Amélie Marian i

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Fields of papers citing papers by Amélie Marian

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

Countries citing papers authored by Amélie Marian

Since Specialization

Citations

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

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