Wojciech Majewski

447 citations
22 papers · 264 indexed · h-index 9

Wojciech Majewski

19 papers receiving 228 citations

Peers

Wojciech Majewski
Comparison fields: 5 of 43
  • Experimental and Cognitive Psychology 130
  • Signal Processing 97
  • Linguistics and Language 26
  • Artificial Intelligence 153
  • Language and Linguistics 28
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Citations per year

Countries citing papers authored by Wojciech Majewski

Since Specialization
Citations

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

Fields of papers citing papers by Wojciech Majewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Wojciech Majewski, 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 Wojciech Majewski Line = papers co-authored together Wojciech Majewski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20204
3
Parametrical patterns of voices in forensic applications
20140
4
Comparison of subjective and objective speaker recognition under voice disguise conditions
20140
5 20093
6
MEL frequency cepstral coefficients (MFCC) of original speakers and their imitators
20061
7 20043
8 20024
9 20017
10
SpeechDat(E) - Eastern European Telephone Speech Databases
200023
11 199917
12 19966
13
Automatic voice recognition in open sets
19882
14 198253
15 19775
16 197410
17 19749
18 197250
19 196922
20 19678

About Wojciech Majewski

Wojciech Majewski is a scholar working on Signal Processing, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Experimental and Cognitive Psychology and Linguistics and Language, having authored 22 papers that have together received 264 indexed citations. Recurring topics across this work include Speech and Audio Processing (13 papers), Speech Recognition and Synthesis (12 papers), Music and Audio Processing (3 papers), Advanced Data Compression Techniques (3 papers), Hearing Loss and Rehabilitation (2 papers), Phonetics and Phonology Research (2 papers), Ultrasonics and Acoustic Wave Propagation (1 paper) and Emotion and Mood Recognition (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (130 citations), Signal Processing (97 citations), Linguistics and Language (26 citations), Artificial Intelligence (153 citations) and Language and Linguistics (28 citations). Wojciech Majewski has collaborated with scholars based in Poland, United States and India. Frequent co-authors include Harry Hollien, E. Thomas Doherty, Runjie Wei, Howard B. Rothman, Jaň Černocký, Henk van den Heuvel, Jérôme Boudy, Khalid Choukri, J. Jurkiewicz and Klára Vicsi. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Phonetics, Language Resources and Evaluation, Phonetica and Archives of Acoustics.

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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