Alexander Riedel

About

Alexander Riedel is a scholar working on Epidemiology, Immunology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alexander Riedel has authored 6 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Epidemiology, 1 paper in Immunology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Alexander Riedel’s work include Prevention and Treatment of HIV/AIDS Infection (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Time Series Analysis and Forecasting (1 paper). Alexander Riedel is often cited by papers focused on Prevention and Treatment of HIV/AIDS Infection (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Time Series Analysis and Forecasting (1 paper). Alexander Riedel collaborates with scholars based in Germany, United States and France. Alexander Riedel's co-authors include Georg W. Bornkamm, Louis M. Staudt, Martin Schlee, Gerd Hobom, Diana Dudziak, Josef Mautner, Uta Behrends, Falk Nimmerjahn, Andreas Rosenwald and Ulrike Dirmeier and has published in prestigious journals such as eLife, Journal of General Virology and Applied Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Alexander Riedel i

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Fields of papers citing papers by Alexander Riedel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexander Riedel

Since Specialization

Citations

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