Anders Søgaard

216 papers and 3.6k indexed citations i.

About

Anders Søgaard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Anders Søgaard has authored 216 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 198 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Anders Søgaard’s work include Topic Modeling (158 papers), Natural Language Processing Techniques (147 papers) and Text Readability and Simplification (32 papers). Anders Søgaard is often cited by papers focused on Topic Modeling (158 papers), Natural Language Processing Techniques (147 papers) and Text Readability and Simplification (32 papers). Anders Søgaard collaborates with scholars based in Denmark, United States and United Kingdom. Anders Søgaard's co-authors include Yoav Goldberg, Sebastian Ruder, Barbara Plank, Joachim Bingel, Ivan Vulić, Dirk Hovy, Isabelle Augenstein, Bjarke Felbo, Maria Barrett and Iyad Rahwan and has published in prestigious journals such as Journal of Artificial Intelligence Research, Scandinavian Journal of Public Health and Synthese.

In The Last Decade

Co-authorship network of co-authors of Anders Søgaard i

Fields of papers citing papers by Anders Søgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anders Søgaard

Since Specialization
Citations

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