Sarah Giessing

2 papers and 191 indexed citations i.

About

Sarah Giessing is a scholar working on Artificial Intelligence, Information Systems and Industrial relations. According to data from OpenAlex, Sarah Giessing has authored 2 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Information Systems and 0 papers in Industrial relations. Recurrent topics in Sarah Giessing’s work include Data Mining Algorithms and Applications (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Data Analysis with R (1 paper). Sarah Giessing is often cited by papers focused on Data Mining Algorithms and Applications (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Data Analysis with R (1 paper). Sarah Giessing collaborates with scholars based in The Netherlands and Germany. Sarah Giessing's co-authors include Peter‐Paul de Wolf, Josep Domingo‐Ferrer, Keith Spicer, Anco Hundepool, Luisa Franconi and Eric Schulte Nordholt and has published in prestigious journals such as Data & Knowledge Engineering and Library Union Catalog of Bavaria, Berlin and Brandenburg (B3Kat Repository).

In The Last Decade

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

Fields of papers citing papers by Sarah Giessing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarah Giessing

Since Specialization
Citations

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