Peter Jančovič

1.0k citations
84 papers · 720 indexed · h-index 16

Impact in

Papers in

Peter Jančovič

82 papers receiving 675 citations

Peers

Peter Jančovič
Comparison fields: 5 of 79
  • Developmental Biology 149
  • Signal Processing 402
  • Artificial Intelligence 266
  • Music 11
  • Computer Vision and Pattern Recognition 71
Replace Sharath Adavanne with:
Sharath Adavanne Finland
Yin Cao China
Ricard Marxer France
Emre Çakır Finland
Yuji Hasegawa Japan
Xavier Pelorson France
Giambattista Parascandolo Finland
Christopher Jacoby Switzerland
Pierre Badin France
Karol J. Piczak Poland
Peter Jančovič relative to Sharath Adavanne Finland Sharath Adavanne's profile →
Citations per field
00.5×10×20×30×42.5×
Sharath Adavanne · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201153
2 201846
3 200829
4 201928
5 200228
6 200825
7 201624
8 201523
9 200523
10 201420
11
Automatic target classification in a low frequency FSR network
200819
12 201319
13 201418
14 200618
15 201215
16 201415
17 201714
18 201414
19 201513
20 201112

About Peter Jančovič

Peter Jančovič is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Developmental Biology, having authored 84 papers that have together received 720 indexed citations. Recurring topics across this work include Speech and Audio Processing (37 papers), Speech Recognition and Synthesis (28 papers), Music and Audio Processing (25 papers), Blind Source Separation Techniques (13 papers), Advanced Memory and Neural Computing (11 papers), Animal Vocal Communication and Behavior (9 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Advanced Adaptive Filtering Techniques (7 papers). The work is most often cited by research in Developmental Biology (149 citations), Signal Processing (402 citations), Artificial Intelligence (266 citations), Music (11 citations) and Computer Vision and Pattern Recognition (71 citations). Peter Jančovič has collaborated with scholars based in United Kingdom, Slovakia and China. Frequent co-authors include Münevver Köküer, Martin Russell, Saeid Safavi, Ji Ming, Xin Zou, M. Cherniakov, K. Fröhlich, F.J. Smith, Boris Hudec and Raja Syamsul Azmir Raja Abdullah. Their work appears in journals such as IEEE Signal Processing Letters, Speech Communication, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Applied Surface Science and Thin Solid Films.

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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