Meelis Kull

20 papers and 1.3k indexed citations i.

About

Meelis Kull is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Meelis Kull has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Meelis Kull’s work include Machine Learning and Data Classification (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Statistical Methods and Models (3 papers). Meelis Kull is often cited by papers focused on Machine Learning and Data Classification (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Statistical Methods and Models (3 papers). Meelis Kull collaborates with scholars based in Estonia, United Kingdom and France. Meelis Kull's co-authors include Jaak Vilo, Jüri Reimand, Hedi Peterson, Peter Flach, Telmo M. Silva Filho, Raivo Kolde, Priit Adler, Nicolas Lachiche, Lidia Contreras-Ochando and César Ferri and has published in prestigious journals such as Nucleic Acids Research, Analytical Chemistry and Genome biology.

In The Last Decade

Co-authorship network of co-authors of Meelis Kull i

Fields of papers citing papers by Meelis Kull

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

Countries citing papers authored by Meelis Kull

Since Specialization
Citations

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

Rankless by CCL
2025