Sonia Schulenburg

13 total papers · 1.1k total citations
5 papers, 107 citations indexed

About

Sonia Schulenburg is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Sonia Schulenburg has authored 5 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in General Health Professions. Recurrent topics in Sonia Schulenburg's work include Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Complex Systems and Time Series Analysis (1 paper). Sonia Schulenburg is often cited by papers focused on Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Complex Systems and Time Series Analysis (1 paper). Sonia Schulenburg collaborates with scholars based in United Kingdom and Spain. Sonia Schulenburg's co-authors include Javier G. Marı́n-Blázquez, Peter Ross and Emma Hart and has published in prestigious journals such as Research Output (Edinburgh Napier University).

In The Last Decade

Sonia Schulenburg

4 papers receiving 100 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sonia Schulenburg 60 58 26 16 14 5 107
Jussi Vanhatalo 18 0.3× 93 1.6× 20 0.8× 29 1.8× 18 1.3× 7 219
Robert Haas 28 0.5× 34 0.6× 19 0.7× 23 1.4× 20 1.4× 5 117
Adri Steenbeek 15 0.3× 26 0.4× 17 0.7× 32 2.0× 9 0.6× 7 79
Hsiao-Lan Fang 170 2.8× 112 1.9× 41 1.6× 52 3.3× 30 2.1× 4 247
Mona Arafa 34 0.6× 55 0.9× 7 0.3× 123 7.7× 12 0.9× 5 213
Kristina Marasović 44 0.7× 34 0.6× 4 0.2× 10 0.6× 6 0.4× 4 67
Jayshree Sarma 7 0.1× 87 1.5× 7 0.3× 19 1.2× 41 2.9× 5 120
Linda van der Gaag 8 0.1× 64 1.1× 10 0.4× 11 0.7× 14 1.0× 5 114
Taicheng Guo 8 0.1× 54 0.9× 4 0.2× 8 0.5× 7 0.5× 6 125
Vegard Dehlen 10 0.2× 118 2.0× 9 0.3× 30 1.9× 8 0.6× 4 235

Countries citing papers authored by Sonia Schulenburg

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Schulenburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Schulenburg

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Schulenburg. A scholar is included among the top collaborators of Sonia Schulenburg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sonia Schulenburg. Sonia Schulenburg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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