Martin Takáč
About
Martin Takáč is a scholar working on Artificial Intelligence, Computational Mechanics and Cognitive Neuroscience.
According to data from OpenAlex, Martin Takáč has authored 69 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 31 papers in Computational Mechanics and 8 papers in Cognitive Neuroscience. Recurrent topics in Martin Takáč’s work include Stochastic Gradient Optimization Techniques (32 papers), Sparse and Compressive Sensing Techniques (31 papers) and Child and Animal Learning Development (6 papers). Martin Takáč is often cited by papers focused on Stochastic Gradient Optimization Techniques (32 papers), Sparse and Compressive Sensing Techniques (31 papers) and Child and Animal Learning Development (6 papers). Martin Takáč collaborates with scholars based in United States, United Arab Emirates and New Zealand. Martin Takáč's co-authors include Peter Richtárik, Lawrence Snyder, Shamim N. Pakzad, Mohammadreza Nazari, Jakub Konečný, Afshin Oroojlooyjadid, Jie Liu, Chenxin Ma, Martin Jaggi and Soheil Sadeghi Eshkevari and has published in prestigious journals such as The Journal of Physical Chemistry C, European Journal of Operational Research and Cognition.
In The Last Decade
Co-authorship network of co-authors of Martin Takáč i
Fields of papers citing papers by Martin Takáč
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 Martin Takáč. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Martin Takáč may publish in the future.
Countries citing papers authored by Martin Takáč
Since SpecializationCitations
This map shows the geographic impact of Martin Takáč'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 Takáč with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Takáč more than expected).
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