Gregor Rozinaj

57 papers receiving 245 citations

Peers

Gregor Rozinaj
Comparison fields: 5 of 60
  • Human-Computer Interaction 47
  • Computer Science Applications 26
  • Computer Vision and Pattern Recognition 87
  • Signal Processing 45
  • Sensory Systems 15
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Jiahui Hou China
Alan J. Wecker Israel
Arghir-Nicolae Moldovan Ireland
Ioana Ghergulescu Ireland
Morihiko Tamai Japan
Longhao Zou China
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Shaojing Fan Singapore
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Citations per year

Countries citing papers authored by Gregor Rozinaj

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Rozinaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gregor Rozinaj, 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 Gregor Rozinaj Line = papers co-authored together Gregor Rozinaj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202249
2 201531
3 200614
4
Evaluation of static Hand Gesture algorithms
201412
5 202210
6 201810
7 20258
8
VOICE OPERATED INFORMATION SYSTEM IN SLOVAK
20076
9 20076
10 20235
11 20185
12 20185
13
Comparison of time & frequency filtering and cepstral-time matrix approaches in ASR
19994
14 19994
15
SPEECH SIGNAL DETECTION IN A NOISY ENVIRONMENT USING NEURAL NETWORKS AND CEPSTRAL MATRICES
20044
16 20144
17 20134
18 20164
19
Sinusoidal Parametrization for Speech Synthesis in Mobile Phones.
20093
20
Classification and preprocessing of data for television recommendation system
20133

About Gregor Rozinaj

Gregor Rozinaj is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction and Sociology and Political Science, having authored 71 papers that have together received 256 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (16 papers), Speech and dialogue systems (7 papers), Music and Audio Processing (7 papers), Advanced Data Compression Techniques (6 papers), Multimedia Communication and Technology (5 papers), Image and Video Quality Assessment (5 papers) and Virtual Reality Applications and Impacts (5 papers). The work is most often cited by research in Human-Computer Interaction (47 citations), Computer Science Applications (26 citations), Computer Vision and Pattern Recognition (87 citations), Signal Processing (45 citations) and Sensory Systems (15 citations). Gregor Rozinaj has collaborated with scholars based in Slovakia, Ireland and Ukraine. Frequent co-authors include Gabriel‐Miro Muntean, Dan Zhao, Adriana E. Chis, Cristina Hava Muntean, Péter Tamás Kovács, Niall Murray, Anton Čižmár, Roman Jarina, Jozef Juhár and Stanislav Ondáš. Their work appears in journals such as Energy and AI, Computer, The Journal of the Acoustical Society of America, IEEE Transactions on Broadcasting and IEEE Transactions on Education.

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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