Senja Pollak
About
Senja Pollak is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems.
According to data from OpenAlex, Senja Pollak has authored 51 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 7 papers in Molecular Biology and 7 papers in Information Systems. Recurrent topics in Senja Pollak’s work include Topic Modeling (23 papers), Natural Language Processing Techniques (21 papers) and Advanced Text Analysis Techniques (9 papers). Senja Pollak is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (21 papers) and Advanced Text Analysis Techniques (9 papers). Senja Pollak collaborates with scholars based in Slovenia, United Kingdom and Croatia. Senja Pollak's co-authors include Blaž Škrlj, Matej Martinc, Nada Lavrač, Matthew Purver and Marko Robnik‐Šikonja and has published in prestigious journals such as Neurocomputing, Machine Learning and Applied Sciences.
In The Last Decade
Fields of papers citing papers by Senja Pollak
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 Senja Pollak. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Senja Pollak may publish in the future.
Countries citing papers authored by Senja Pollak
Since SpecializationCitations
This map shows the geographic impact of Senja Pollak'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 Senja Pollak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senja Pollak more than expected).
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