Peter Jančovič

1.0k total citations
84 papers, 720 citations indexed

About

Peter Jančovič is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Jančovič has authored 84 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Signal Processing, 31 papers in Artificial Intelligence and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Jančovič's work include Speech and Audio Processing (37 papers), Speech Recognition and Synthesis (28 papers) and Music and Audio Processing (25 papers). Peter Jančovič is often cited by papers focused on Speech and Audio Processing (37 papers), Speech Recognition and Synthesis (28 papers) and Music and Audio Processing (25 papers). Peter Jančovič collaborates with scholars based in United Kingdom, Slovakia and China. Peter Jančovič's co-authors include Münevver Köküer, Martin Russell, Saeid Safavi, Ji Ming, Xin Zou, M. Cherniakov, K. Fröhlich, Raja Syamsul Azmir Raja Abdullah, F.J. Smith and Boris Hudec and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and Applied Surface Science.

In The Last Decade

Peter Jančovič

82 papers receiving 675 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Jančovič United Kingdom 16 402 266 149 118 71 84 720
Yuji Hasegawa Japan 15 501 1.2× 160 0.6× 39 0.3× 112 0.9× 121 1.7× 48 745
Sharath Adavanne Finland 5 473 1.2× 155 0.6× 94 0.6× 29 0.2× 109 1.5× 10 539
Yin Cao China 12 698 1.7× 268 1.0× 59 0.4× 41 0.3× 269 3.8× 38 1.0k
Makoto Otani Japan 11 229 0.6× 41 0.2× 44 0.3× 61 0.5× 59 0.8× 89 503
Ricard Marxer France 13 470 1.2× 356 1.3× 35 0.2× 24 0.2× 100 1.4× 66 719
Xavier Pelorson France 18 355 0.9× 701 2.6× 23 0.2× 24 0.2× 149 2.1× 86 1.2k
Pierre Badin France 19 492 1.2× 462 1.7× 42 0.3× 20 0.2× 163 2.3× 87 1.1k
Emre Çakır Finland 7 622 1.5× 198 0.7× 100 0.7× 22 0.2× 268 3.8× 11 729
Karol J. Piczak Poland 3 1.1k 2.8× 296 1.1× 265 1.8× 37 0.3× 417 5.9× 4 1.3k
Mark D. Skowronski United States 15 239 0.6× 418 1.6× 170 1.1× 194 1.6× 37 0.5× 42 874

Countries citing papers authored by Peter Jančovič

Since Specialization
Citations

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

Fields of papers citing papers by Peter Jančovič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Jančovič

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Jančovič. A scholar is included among the top collaborators of Peter Jančovič 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 Peter Jančovič. Peter Jančovič 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
1.
Jančovič, Peter & Münevver Köküer. (2019). Bird Species Recognition Using Unsupervised Modeling of Individual Vocalization Elements. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(5). 932–947. 28 indexed citations
2.
Safavi, Saeid, Martin Russell, & Peter Jančovič. (2018). Automatic speaker, age-group and gender identification from children’s speech. Computer Speech & Language. 50. 141–156. 46 indexed citations
3.
Jančovič, Peter, et al.. (2018). Exploring How Phone Classification Neural Networks Learn Phonetic Information by Visualising and Interpreting Bottleneck Features. University of Birmingham Research Portal (University of Birmingham). 1472–1476. 3 indexed citations
4.
Jančovič, Peter, et al.. (2018). Phone Recognition Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs. University of Birmingham Research Portal (University of Birmingham). 3753–3757. 2 indexed citations
5.
Nadeu, Climent, et al.. (2017). A Knowledge-Based Approach to Automatic Detection of Equipment Alarm Sounds in a Neonatal Intensive Care Unit Environment. IEEE Journal of Translational Engineering in Health and Medicine. 6. 1–10. 14 indexed citations
6.
Russell, Martin, et al.. (2016). Interpretation of Low Dimensional Neural Network Bottleneck Features in Terms of Human Perception and Production. University of Birmingham Research Portal (University of Birmingham). 3384–3388. 3 indexed citations
7.
Jančovič, Peter, et al.. (2015). Automatic detection of equipment alarms in a neonatal intensive care unit environment: a knowledge-based approach. University of Birmingham Research Portal (University of Birmingham). 2902–2906. 2 indexed citations
8.
Linn, Eike, et al.. (2015). On Passive Permutation Circuits. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 5(2). 173–182. 4 indexed citations
9.
Hudec, Boris, A. Paskaleva, Peter Jančovič, et al.. (2014). Resistive switching in TiO2-based metal–insulator–metal structures with Al2O3 barrier layer at the metal/dielectric interface. Thin Solid Films. 563. 10–14. 15 indexed citations
10.
Safavi, Saeid, et al.. (2012). Contrasting the Effects of Different Frequency Bands on Speaker and Accent Identification. IEEE Signal Processing Letters. 19(12). 829–832. 15 indexed citations
11.
Collins, Tim, et al.. (2012). Hybrid method for designing digital Butterworth filters. Computers & Electrical Engineering. 38(4). 811–818. 6 indexed citations
12.
13.
Jančovič, Peter & Münevver Köküer. (2009). Incorporating the voicing information into HMM-based automatic speech recognition in noisy environments. Speech Communication. 51(5). 438–451. 9 indexed citations
14.
Antoniou, Michail, V. Sizov, Cheng Hu, et al.. (2008). The concept of a forward scattering micro-sensors radar network for situational awareness. University of Birmingham Research Portal (University of Birmingham). 171–176. 29 indexed citations
15.
Jančovič, Peter & Münevver Köküer. (2007). Employment Of Voicing Information Of Speech Spectra For Noise-Robust Speaker Identification. Zenodo (CERN European Organization for Nuclear Research). 2399–2403. 2 indexed citations
16.
Zou, Xin, Peter Jančovič, & Ju Liu. (2006). The effectiveness of ICA-based representation: Application to speech feature extraction for noise robust speaker recognition. European Signal Processing Conference. 1–5. 7 indexed citations
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Ming, Ji, et al.. (2000). Robust feature selection using probabilistic union models. vol. 3, 546–549. 4 indexed citations
20.
Jančovič, Peter, et al.. (1999). Comparison of time & frequency filtering and cepstral-time matrix approaches in ASR. QRU Quaderns de Recerca en Urbanisme. 77–80. 4 indexed citations

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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