Kirsten Elger

16 papers and 618 indexed citations i.

About

Kirsten Elger is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Kirsten Elger has authored 16 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Information Systems and Management. Recurrent topics in Kirsten Elger’s work include Research Data Management Practices (5 papers), Geological Modeling and Analysis (4 papers) and Scientific Computing and Data Management (4 papers). Kirsten Elger is often cited by papers focused on Research Data Management Practices (5 papers), Geological Modeling and Analysis (4 papers) and Scientific Computing and Data Management (4 papers). Kirsten Elger collaborates with scholars based in Germany, United States and Australia. Kirsten Elger's co-authors include Onno Oncken, Johannes Glodny, E. Sinem Ince, Franz Barthelmes, Christoph Förste, Frank Flechtner, Harald Schuh, Hugues Lantuit, Jean-Pierre Lanckman and V. E. Romanovsky and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Tectonics and Scientific Data.

In The Last Decade

Co-authorship network of co-authors of Kirsten Elger i

Fields of papers citing papers by Kirsten Elger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kirsten Elger

Since Specialization
Citations

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