Ullrika Sahlin

43 papers and 656 indexed citations i.

About

Ullrika Sahlin is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ullrika Sahlin has authored 43 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Artificial Intelligence and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ullrika Sahlin’s work include Computational Drug Discovery Methods (7 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Insect and Pesticide Research (5 papers). Ullrika Sahlin is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Insect and Pesticide Research (5 papers). Ullrika Sahlin collaborates with scholars based in Sweden, United Kingdom and The Netherlands. Ullrika Sahlin's co-authors include Henrik G. Smith, Tomas Öberg, Yann Clough, Charlotte Baey, Johanna Häussler, Glenn P. Svensson, Ola Olsson, Mattias C. Larsson, Gabriel Recchia and Fredrika Mårtensson and has published in prestigious journals such as PLoS ONE, Applied Energy and Journal of Applied Ecology.

In The Last Decade

Co-authorship network of co-authors of Ullrika Sahlin i

Fields of papers citing papers by Ullrika Sahlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ullrika Sahlin

Since Specialization
Citations

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