Andreas Niekler

11 papers and 471 indexed citations i.

About

Andreas Niekler is a scholar working on Artificial Intelligence, General Social Sciences and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andreas Niekler has authored 11 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in General Social Sciences and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Andreas Niekler’s work include Topic Modeling (6 papers), Advanced Text Analysis Techniques (6 papers) and Computational and Text Analysis Methods (5 papers). Andreas Niekler is often cited by papers focused on Topic Modeling (6 papers), Advanced Text Analysis Techniques (6 papers) and Computational and Text Analysis Methods (5 papers). Andreas Niekler collaborates with scholars based in Germany and Switzerland. Andreas Niekler's co-authors include Gregor Wiedemann, Daniel Maier, Gerhard Heyer, Annie Waldherr, Barbara Pfetsch, Thomas Häußler, Silke Adam, Peter Miltner, Ueli Reber and Hannah Schmid-Petri and has published in prestigious journals such as Language Resources and Evaluation, Evaluation and Communication Methods and Measures.

In The Last Decade

Co-authorship network of co-authors of Andreas Niekler i

Fields of papers citing papers by Andreas Niekler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andreas Niekler

Since Specialization
Citations

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