Benedikt Boecking

About

Benedikt Boecking is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benedikt Boecking has authored 9 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benedikt Boecking’s work include Machine Learning and Data Classification (2 papers), Sex work and related issues (2 papers) and Topic Modeling (2 papers). Benedikt Boecking is often cited by papers focused on Machine Learning and Data Classification (2 papers), Sex work and related issues (2 papers) and Topic Modeling (2 papers). Benedikt Boecking collaborates with scholars based in United States, Germany and Australia. Benedikt Boecking's co-authors include Artur Dubrawski, Emily B. Kennedy, Margeret Hall, Jeff Schneider, Anja Thieme, Anton Schwaighofer, Aditya Nori, Javier Alvarez-Valle, Fernando Pérez‐García and Daniel C. Castro and has published in prestigious journals such as Pattern Recognition Letters, Policy & Internet and Advances in Data Analysis and Classification.

In The Last Decade

Co-authorship network of co-authors of Benedikt Boecking i

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Fields of papers citing papers by Benedikt Boecking

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benedikt Boecking

Since Specialization

Citations

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