James Gattiker
About
James Gattiker is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics, Probability and Uncertainty.
According to data from OpenAlex, James Gattiker has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in James Gattiker’s work include Advanced Multi-Objective Optimization Algorithms (5 papers), Probabilistic and Robust Engineering Design (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). James Gattiker is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (5 papers), Probabilistic and Robust Engineering Design (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). James Gattiker collaborates with scholars based in United States, United Kingdom and Canada. James Gattiker's co-authors include Dave Higdon, Brian J. Williams, Maria Rightley, Charles Nakhleh, David Higdon, Rangachar Kasturi, Sing‐Tze Bow, Peter Challenor, Doug McNeall and Leslie M. Moore and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
In The Last Decade
Co-authorship network of co-authors of James Gattiker i
Fields of papers citing papers by James Gattiker
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 James Gattiker. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where James Gattiker may publish in the future.
Countries citing papers authored by James Gattiker
Since SpecializationCitations
This map shows the geographic impact of James Gattiker'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 James Gattiker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Gattiker more than expected).
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