Christina Heinze‐Deml

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 220 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), Adversarial Robustness in Machine Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Christina Heinze‐Deml is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Christina Heinze‐Deml collaborates with scholars based in Switzerland, United States and Sweden. Christina Heinze‐Deml's co-authors include Nicolai Meinshausen, Marloes H. Maathuis, Jonas Peters, Sofia Triantafillou, Ioannis Tsamardinos, Vincenzo Lagani, Angelika Schmidt, Jesper Tegnér, Brian McWilliams and Angeline G. Pendergrass and has published in prestigious journals such as Scientific Reports, Machine Learning and Geoscientific model development.

In The Last Decade

Co-authorship network of co-authors of Christina Heinze‐Deml i

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Fields of papers citing papers by Christina Heinze‐Deml

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina Heinze‐Deml. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christina Heinze‐Deml. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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