Christina Heinze‐Deml

8 papers and 213 indexed citations i.

About

Christina Heinze‐Deml is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Christina Heinze‐Deml has authored 8 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. Recurrent topics in Christina Heinze‐Deml’s work include Domain Adaptation and Few-Shot Learning (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Christina Heinze‐Deml is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Christina Heinze‐Deml collaborates with scholars based in Switzerland, United States and Sweden. Christina Heinze‐Deml's co-authors include Nicolai Meinshausen, Flavio Lehner, Sofia Triantafillou, Fanny Yang and Angeline G. Pendergrass and has published in prestigious journals such as Scientific Reports, Machine Learning and Geoscientific model development.

In The Last Decade

Fields of papers citing papers by Christina Heinze‐Deml

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

Countries citing papers authored by Christina Heinze‐Deml

Since Specialization
Citations

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

Rankless by CCL
2025