Lena Wiese

28 papers and 100 indexed citations i.

About

Lena Wiese is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Lena Wiese has authored 28 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 6 papers in Molecular Biology. Recurrent topics in Lena Wiese’s work include Machine Learning in Healthcare (5 papers), Distributed systems and fault tolerance (4 papers) and Bioinformatics and Genomic Networks (3 papers). Lena Wiese is often cited by papers focused on Machine Learning in Healthcare (5 papers), Distributed systems and fault tolerance (4 papers) and Bioinformatics and Genomic Networks (3 papers). Lena Wiese collaborates with scholars based in Germany, The Netherlands and Saudi Arabia. Lena Wiese's co-authors include Joachim Biskup, Christin Seifert, Stefanie Scherzinger, Michael Mutz, Karsten Krüger, Karen Zentgraf, Michael Brenner, Marcel H. Schulz, Markus Raab and Danny Luu and has published in prestigious journals such as Journal of Clinical Epidemiology, BMC Bioinformatics and Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Lena Wiese i

Fields of papers citing papers by Lena Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lena Wiese

Since Specialization
Citations

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