Torsten Suel

46 papers and 1.1k indexed citations i.

About

Torsten Suel is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Torsten Suel has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 16 papers in Signal Processing. Recurrent topics in Torsten Suel’s work include Data Management and Algorithms (16 papers), Algorithms and Data Compression (14 papers) and Web Data Mining and Analysis (11 papers). Torsten Suel is often cited by papers focused on Data Management and Algorithms (16 papers), Algorithms and Data Compression (14 papers) and Web Data Mining and Analysis (11 papers). Torsten Suel collaborates with scholars based in United States, Italy and Chile. Torsten Suel's co-authors include S.U. Pillai, Shuai Ding, Lujun Jia, Rajmohan Rajaraman, S. Muthukrishnan, Viswanath Poosala, Nick Koudas, Kenneth C. Sevcik, H. V. Jagadish and Qingqing Gan and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Transactions on Computers and Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Torsten Suel i

Fields of papers citing papers by Torsten Suel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Torsten Suel

Since Specialization
Citations

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