Mats Blomberg

44 papers receiving 363 citations

Peers

Mats Blomberg
Comparison fields: 5 of 36
  • Artificial Intelligence 436
  • Signal Processing 310
  • Experimental and Cognitive Psychology 106
  • Computer Vision and Pattern Recognition 33
  • Information Systems 25
Replace Fabio Brugnara with:
Fabio Brugnara Italy
Ralf Kompe Germany
Mohamed Faouzi BenZeghiba France
Lorenzo Fissore
C. Ris Belgium
Hideki Kashioka Japan
Hynek Bořil United States
Harald Höge Germany
Ellen Eide United States
Kjell Elenius Sweden
Mats Blomberg relative to Fabio Brugnara Italy Fabio Brugnara's profile →
Citations per field
00.5×1.5×2.5×
Fabio Brugnara · 1×
Citations per year

Countries citing papers authored by Mats Blomberg

Since Specialization
Citations

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

Fields of papers citing papers by Mats Blomberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Blomberg

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Blomberg. A scholar is included among the top collaborators of Mats Blomberg 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 Mats Blomberg. Mats Blomberg 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
#WorkIndexed citations
1
Searching for sustainability - A blended course in how to search interdisciplinary
1
2 3
3
Estimating speaker characteristics for speech recognition
2
4 123
5
AUTOMATISK IGENKÄNNING AV TAL
0
6
A case study of impersonation from a security systems point of view
1
7 35
8
Comparing speech recognition for adults and children
18
9
Collection and recognition of children s speech in the PF-Star project
9
10 3
11 17
12
Creation of unseen triphones from seen triphones, diphones and phones
1
13
Labeling of speech given its text representation
6
14 1
15 1
16 2
17 4
18 2
19
Swedish Speech Researchers Team Up with Electronic Ventrure Capitalists
2
20
Experiments with auditory models in speech recognition
1

About Mats Blomberg

Mats Blomberg is a scholar working on Signal Processing, Artificial Intelligence and Library and Information Sciences, having authored 54 papers that have together received 488 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (35 papers), Speech and Audio Processing (27 papers) and Music and Audio Processing (17 papers). The work is most often cited by research in Signal Processing (310 citations), Artificial Intelligence (436 citations) and Experimental and Cognitive Psychology (106 citations). Mats Blomberg has collaborated with scholars based in Sweden, Italy and Germany. Frequent co-authors include Johan Lindberg, Daniel Elenius, Kjell Elenius, Rolf Carlson, Martin Russell, Christian Hacker, Michael Wong, Stefan Steidl, Matteo Gerosa and Diego Giuliani. Their work appears in journals such as Annals of Neurology, The Journal of the Acoustical Society of America and Speech Communication.

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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