Ando Saabas

574 citations
30 papers · 317 · h-index 11

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Logic, programming, and type systems
    • Security and Verification in Computing

Papers in

Ando Saabas

28 papers receiving 295 citations

Peers

Ando Saabas
Comparison fields: 5 of 39
  • Signal Processing 172
  • Artificial Intelligence 177
  • Software 19
  • Computational Mechanics 91
  • Hardware and Architecture 24
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Xiaochen Lian China
Ashkan Aazami United States
Rikio Onai Japan
G.C. O'Leary United States
Ninh Pham Denmark
C. Ravishankar United States
G. Schrack Canada
Chuan Tang China
Reid Gershbein United States
Yifan Fu Australia
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Citations per field
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Citations per year

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).

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.

Co-authors

The 15 scholars most cited alongside Ando Saabas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ando Saabas Line = papers co-authored together Ando Saabas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202249
2 202136
3 202230
4 202228
5 200613
6 200813
7 201513
8 202412
9 200512
10 200711
11 200711
12 20239
13 20248
14 20058
15 20247
16 20076
17 20095
18 20085
19 20235
20 20095

About Ando Saabas

Ando Saabas is a scholar working on Artificial Intelligence, Signal Processing, Software, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 317 indexed citations. Recurring topics across this work include Logic, programming, and type systems (12 papers), Speech and Audio Processing (7 papers), Security and Verification in Computing (6 papers), Speech Recognition and Synthesis (5 papers), Model-Driven Software Engineering Techniques (4 papers), Advanced Adaptive Filtering Techniques (4 papers), Advanced Data Compression Techniques (4 papers) and Formal Methods in Verification (4 papers). The work is most often cited by research in Signal Processing (172 citations), Artificial Intelligence (177 citations), Software (19 citations), Computational Mechanics (91 citations) and Hardware and Architecture (24 citations). Ando Saabas has collaborated with scholars based in Estonia, Finland and United States. Frequent co-authors include Tarmo Uustalu, Ross Cutler, Robert Aichner, Sten Sootla, Sebastian Braun, Tanel Pärnamaa, Hannes Gamper, Lorenz Diener, Enn Tyugu and Marlon Dumas. Their work appears in journals such as The Journal of Logic and Algebraic Programming, Theoretical Computer Science, IEEE Open Journal of Signal Processing, Electronic Notes in Theoretical Computer Science and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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