Martin Grůber

474 total citations
27 papers, 149 citations indexed

About

Martin Grůber is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Signal Processing. According to data from OpenAlex, Martin Grůber has authored 27 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Industrial and Manufacturing Engineering and 4 papers in Signal Processing. Recurrent topics in Martin Grůber's work include Speech Recognition and Synthesis (10 papers), Speech and dialogue systems (7 papers) and Vehicle Routing Optimization Methods (5 papers). Martin Grůber is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Speech and dialogue systems (7 papers) and Vehicle Routing Optimization Methods (5 papers). Martin Grůber collaborates with scholars based in Czechia, Austria and Germany. Martin Grůber's co-authors include Günther R. Raidl, Gordon Fraser, Jano van Hemert, Daniel Tihelka, Pavel Ircing, Jindřich Matoušek, Jan Romportl, Josef Psutka, Petr Pajas and Jan Hajič and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal on Multimodal User Interfaces and Americanae (AECID Library).

In The Last Decade

Martin Grůber

23 papers receiving 141 citations

Peers

Martin Grůber
Comparison fields: 5 of 44
  • Artificial Intelligence 42
  • Industrial and Manufacturing Engineering 36
  • Computer Vision and Pattern Recognition 34
  • Computational Theory and Mathematics 30
  • Computer Networks and Communications 28
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Citations per field, relative to Martin Grůber
Martin Grůber · 1×
Citations per year, relative to Martin Grůber
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Countries citing papers authored by Martin Grůber

Since Specialization
Citations

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

Fields of papers citing papers by Martin Grůber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Grůber

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Grůber. A scholar is included among the top collaborators of Martin Grůber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Grůber. Martin Grůber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 18
3 9
4 0
5
Prague DaTabase of Spoken Czech 1.0
1
6
ARET - Automatic Reading of Educational Texts for Visually Impaired Students.
0
7 2
8
I'm Sorry for What I've Done: The Language of Courtroom Apologies
2
9 3
10 0
11 2
12 3
13 6
14 5
15
Wizard of Oz data collection for the czech senior companion dialogue system
6
16 4
17
Evaluation of various unit types in the unit selection approach for the Czech language using the Festival system
2
18 28
19
Mastering SQL
3
20 32

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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