Martin Raab

About

Martin Raab is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Raab has authored 5 papers receiving a total of 24 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Raab’s work include Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Advanced Data Compression Techniques (2 papers). Martin Raab is often cited by papers focused on Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Advanced Data Compression Techniques (2 papers). Martin Raab collaborates with scholars based in Germany. Martin Raab's co-authors include Robert Schwager and Elmar Nöth and has published in prestigious journals such as The Journal of Finance and Speech Communication.

In The Last Decade

Fields of papers citing papers by Martin Raab

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

Countries citing papers authored by Martin Raab

Since Specialization

Citations

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

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