Gintare Karolina Dziugaite

About

Gintare Karolina Dziugaite is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Gintare Karolina Dziugaite has authored 10 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Gintare Karolina Dziugaite’s work include Stochastic Gradient Optimization Techniques (5 papers), Neural Networks and Applications (3 papers) and Machine Learning and Algorithms (3 papers). Gintare Karolina Dziugaite is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Neural Networks and Applications (3 papers) and Machine Learning and Algorithms (3 papers). Gintare Karolina Dziugaite collaborates with scholars based in United Kingdom, Canada and United States. Gintare Karolina Dziugaite's co-authors include Daniel M. Roy, Zoubin Ghahramani, Shan Shen, Wei Ji, Ronald van den Berg, Ashish Khisti, Elnaz Barshan, Kyle Hsu, Stanislav Fort and Surya Ganguli and has published in prestigious journals such as Vision Research, International Conference on Machine Learning and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Gintare Karolina Dziugaite i

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Fields of papers citing papers by Gintare Karolina Dziugaite

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gintare Karolina Dziugaite. 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 Gintare Karolina Dziugaite. The network helps show where Gintare Karolina Dziugaite may publish in the future.

Countries citing papers authored by Gintare Karolina Dziugaite

Since Specialization

Citations

This map shows the geographic impact of Gintare Karolina Dziugaite'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 Gintare Karolina Dziugaite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gintare Karolina Dziugaite 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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