Ján Šaliga

572 total citations
59 papers, 427 citations indexed

About

Ján Šaliga is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Ján Šaliga has authored 59 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 31 papers in Electrical and Electronic Engineering and 20 papers in Computer Networks and Communications. Recurrent topics in Ján Šaliga's work include Analog and Mixed-Signal Circuit Design (30 papers), Sensor Technology and Measurement Systems (19 papers) and Advanced Electrical Measurement Techniques (18 papers). Ján Šaliga is often cited by papers focused on Analog and Mixed-Signal Circuit Design (30 papers), Sensor Technology and Measurement Systems (19 papers) and Advanced Electrical Measurement Techniques (18 papers). Ján Šaliga collaborates with scholars based in Slovakia, Italy and Hungary. Ján Šaliga's co-authors include Linus Michaeli, Sergio Rapuano, A. Cruz Serra, Petr Mikulı́k, Pedro M. Ramos, István Kollár, R.C. Martins, Ján Buša, Francisco Alegría and László Balogh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Ján Šaliga

54 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ján Šaliga Slovakia 12 243 223 109 74 59 59 427
O.E. Herrmann Netherlands 9 74 0.3× 85 0.4× 89 0.8× 21 0.3× 126 2.1× 34 341
Claudio Talarico United States 13 282 1.2× 91 0.4× 67 0.6× 28 0.4× 59 1.0× 54 412
Niclas Björsell Sweden 15 411 1.7× 234 1.0× 267 2.4× 101 1.4× 14 0.2× 99 703
Amin Z. Sadik Australia 11 181 0.7× 71 0.3× 34 0.3× 22 0.3× 4 0.1× 28 322
Yu‐Jung Huang Taiwan 10 189 0.8× 46 0.2× 65 0.6× 12 0.2× 32 0.5× 60 374
Gene H. Hostetter United States 8 103 0.4× 91 0.4× 33 0.3× 258 3.5× 6 0.1× 17 492
Zhijia Yang China 11 134 0.6× 42 0.2× 74 0.7× 117 1.6× 20 0.3× 54 390
Hung-Quoc Lai United States 12 658 2.7× 184 0.8× 291 2.7× 9 0.1× 3 0.1× 25 759
Ruofeng Liu United States 11 216 0.9× 72 0.3× 169 1.6× 25 0.3× 11 0.2× 33 394
Abbass Nasser France 11 257 1.1× 99 0.4× 339 3.1× 13 0.2× 3 0.1× 55 521

Countries citing papers authored by Ján Šaliga

Since Specialization
Citations

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

Fields of papers citing papers by Ján Šaliga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ján Šaliga

This figure shows the co-authorship network connecting the top 25 collaborators of Ján Šaliga. A scholar is included among the top collaborators of Ján Šaliga 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 Ján Šaliga. Ján Šaliga 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.
Iadarola, Grazia, et al.. (2025). An ECG compression method exploiting a QRS detector for sparse dictionary learning. Measurement. 258. 119177–119177.
2.
Šaliga, Ján, Pasquale Daponte, Luca De Vito, et al.. (2024). Online impedance estimation of induction motor coils using a CS-based measurement method. Measurement Sensors. 38. 101425–101425.
3.
Galajda, Pavol, et al.. (2024). Design of AD Converters in 0.35 µm SiGe BiCMOS Technology for Ultra-Wideband M-Sequence Radar Sensors. Sensors. 24(9). 2838–2838. 1 indexed citations
4.
Šaliga, Ján, et al.. (2024). A 12-Lead ECG signal correlation analysis in multiple domains. Measurement Sensors. 38. 101417–101417. 2 indexed citations
5.
Fedorko, Gabriel, Vieroslav Molnár, Beáta Stehlíková, Peter Michalík, & Ján Šaliga. (2024). Design of Evaluation Classification Algorithm for Identifying Conveyor Belt Mistracking in a Continuous Transport System’s Digital Twin. Sensors. 24(12). 3810–3810. 2 indexed citations
6.
Šaliga, Ján, et al.. (2023). Radial artery pulse wave estimation by compressed sensing measurements of wrist bio-impedance. Measurement. 219. 113174–113174. 2 indexed citations
7.
Šaliga, Ján, et al.. (2023). ECG Sparsity Evaluation on a Multiwavelet Basis. SHILAP Revista de lepidopterología. 23(4). 17–23. 1 indexed citations
8.
Šaliga, Ján, et al.. (2022). Multiwavelet-based ECG compressed sensing with samples difference thresholding. 215–220. 2 indexed citations
9.
Šaliga, Ján, et al.. (2022). Multiwavelet toolbox for MATLAB. 1–5. 4 indexed citations
10.
Šaliga, Ján, et al.. (2021). Analog-to-Information Conversion with Random Interval Integration. Sensors. 21(10). 3543–3543. 4 indexed citations
11.
Michaeli, Linus, et al.. (2019). Optimization Paradigm in the Signal Recovery after Compressive Sensing. Measurement Science Review. 19(1). 35–42. 5 indexed citations
12.
Michaeli, Linus, et al.. (2018). Beamforming with small diameter microphone array. 1–5. 5 indexed citations
13.
14.
Michaeli, Linus & Ján Šaliga. (2014). Error Models of the Analog to Digital Converters. Measurement Science Review. 14(2). 62–77. 8 indexed citations
15.
Michaeli, Linus, et al.. (2012). New concept for DAC testing under dynamic condition by the comparison with reference voltage. 1–4. 4 indexed citations
16.
Vito, Luca De, et al.. (2011). Hardware and software platform for ADCWAN remote laboratory. Measurement. 45(4). 795–807. 12 indexed citations
17.
Šaliga, Ján, et al.. (2009). HARDWARE INFRASTRUCTURE OF REMOTE LABORATORY FOR EXPERIMENTAL TESTING OF FPGA BASED COMPLEX RECONFIGURABLE SYSTEMS. 12 indexed citations
18.
Michaeli, Linus, et al.. (2008). A Critical Analysis of Alternative Stimulus Signals for Histogram based Testing of ADCs. 320–325. 2 indexed citations
19.
Michaeli, Linus, et al.. (2006). Parameters of band pass ΣΔ-ADC and the comparison with the standard ones. Measurement. 40(5). 473–478.
20.
Michaeli, Linus, et al.. (2006). A new ADC fast testing method based on the unified error model. Measurement. 41(2). 192–197. 2 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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