Sarah Haas

12 papers and 73 indexed citations i.

About

Sarah Haas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Sarah Haas has authored 12 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Sarah Haas’s work include Advanced Graph Neural Networks (2 papers), Advanced Malware Detection Techniques (2 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (2 papers). Sarah Haas is often cited by papers focused on Advanced Graph Neural Networks (2 papers), Advanced Malware Detection Techniques (2 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (2 papers). Sarah Haas collaborates with scholars based in Austria, Italy and Dominica. Sarah Haas's co-authors include Alberto Gianoli, Markus Tauber, Alexander Felfernig, Ani Bicaku, Jerker Delsing, Michael Schwarz, Stefan Reiterer, Christian Steger, Silia Maksuti and Martin Stettinger and has published in prestigious journals such as The International Journal of Robotics Research, iScience and Environment and Urbanization.

In The Last Decade

Co-authorship network of co-authors of Sarah Haas i

Fields of papers citing papers by Sarah Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarah Haas

Since Specialization
Citations

This map shows the geographic impact of Sarah Haas'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 Sarah Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Haas 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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2025