Stefanie Jegelka

60 papers and 2.0k indexed citations i.

About

Stefanie Jegelka is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stefanie Jegelka has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stefanie Jegelka’s work include Combinatorial Optimization and Complexity Theory (13 papers), Machine Learning and Algorithms (12 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Stefanie Jegelka is often cited by papers focused on Combinatorial Optimization and Complexity Theory (13 papers), Machine Learning and Algorithms (12 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Stefanie Jegelka collaborates with scholars based in United States, Germany and Switzerland. Stefanie Jegelka's co-authors include Hyun Oh Song, Silvio Savarese, Yu Xiang, Kevin Huang, Elsa Olivetti, Edward Kim, Vivek Rathod, Kevin Murphy, Jeff Bilmes and Ken‐ichi Kawarabayashi and has published in prestigious journals such as Nature Communications, Bioinformatics and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Stefanie Jegelka i

Fields of papers citing papers by Stefanie Jegelka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefanie Jegelka. 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 Stefanie Jegelka. The network helps show where Stefanie Jegelka may publish in the future.

Countries citing papers authored by Stefanie Jegelka

Since Specialization
Citations

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