Ando Saabas

20 papers and 187 indexed citations i.

About

Ando Saabas is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Ando Saabas has authored 20 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Signal Processing and 5 papers in Computational Mechanics. Recurrent topics in Ando Saabas’s work include Speech and Audio Processing (8 papers), Logic, programming, and type systems (6 papers) and Advanced Adaptive Filtering Techniques (5 papers). Ando Saabas is often cited by papers focused on Speech and Audio Processing (8 papers), Logic, programming, and type systems (6 papers) and Advanced Adaptive Filtering Techniques (5 papers). Ando Saabas collaborates with scholars based in Estonia, Finland and United States. Ando Saabas's co-authors include Ross Cutler, Tarmo Uustalu, Robert Aichner, Sebastian Braun, Hannes Gamper, Tanel Pärnamaa, Sriram Srinivasan, Babak Naderi, Nicolae-Cătălin Ristea and Lorenz Diener and has published in prestigious journals such as Theoretical Computer Science, Electronic Notes in Theoretical Computer Science and The Journal of Logic and Algebraic Programming.

In The Last Decade

Co-authorship network of co-authors of Ando Saabas i

Fields of papers citing papers by Ando Saabas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ando Saabas

Since Specialization
Citations

This map shows the geographic impact of Ando Saabas'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 Ando Saabas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ando Saabas 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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2025