Laura Koesten

16 papers and 183 indexed citations i.

About

Laura Koesten is a scholar working on Management Science and Operations Research, Information Systems and Artificial Intelligence. According to data from OpenAlex, Laura Koesten has authored 16 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 8 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Laura Koesten’s work include Data Quality and Management (10 papers), Scientific Computing and Data Management (5 papers) and Web Data Mining and Analysis (4 papers). Laura Koesten is often cited by papers focused on Data Quality and Management (10 papers), Scientific Computing and Data Management (5 papers) and Web Data Mining and Analysis (4 papers). Laura Koesten collaborates with scholars based in United Kingdom, The Netherlands and Austria. Laura Koesten's co-authors include Elena Simperl, Emilia Kacprzak, Paul Groth, Luis Ibáñez, Jeni Tennison, Adriane Chapman, George Konstantinidis, Pavlos Vougiouklis, Sebastian Tschiatschek and Torsten Möller and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Human-Computer Studies and The VLDB Journal.

In The Last Decade

Co-authorship network of co-authors of Laura Koesten i

Fields of papers citing papers by Laura Koesten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Koesten

Since Specialization
Citations

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