Daniel Micusik

543 total citations
22 papers, 389 citations indexed

About

Daniel Micusik is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Hardware and Architecture. According to data from OpenAlex, Daniel Micusik has authored 22 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 7 papers in Biomedical Engineering and 4 papers in Hardware and Architecture. Recurrent topics in Daniel Micusik's work include Photonic and Optical Devices (10 papers), Optical Network Technologies (8 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Daniel Micusik is often cited by papers focused on Photonic and Optical Devices (10 papers), Optical Network Technologies (8 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Daniel Micusik collaborates with scholars based in Germany, Austria and United States. Daniel Micusik's co-authors include Dietmar Kissinger, Ahmet Çağrı Ulusoy, A. Awny, R. Nagulapalli, Gunter Fischer, M. Kroh, Horst Zimmermann, Lars Zimmermann, J. Hoffmann and Viera Stopjaková and has published in prestigious journals such as IEEE Transactions on Microwave Theory and Techniques, Electronics Letters and Neural Computing and Applications.

In The Last Decade

Daniel Micusik

21 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Micusik Germany	10	366	111	36	33	20	22	389
Wonsik Yu South Korea	10	467 1.3×	385 3.5×	26 0.7×	9 0.3×	8 0.4×	13	477
Lashari Ghulam Abbas China	12	267 0.7×	72 0.6×	25 0.7×	71 2.2×	6 0.3×	23	330
Eric Soenen United States	13	302 0.8×	256 2.3×	31 0.9×	7 0.2×	7 0.3×	31	328
Ahmed Elkholy United States	17	771 2.1×	332 3.0×	17 0.5×	18 0.5×	7 0.3×	43	786
Stephan Henzler Germany	13	613 1.7×	313 2.8×	119 3.3×	17 0.5×	8 0.4×	35	663
Mrunmay Talegaonkar United States	14	605 1.7×	339 3.1×	26 0.7×	8 0.2×	7 0.3×	29	619
Ian Stobert United States	6	225 0.6×	47 0.4×	10 0.3×	70 2.1×	40 2.0×	20	265
Wenning Jiang China	10	328 0.9×	145 1.3×	25 0.7×	27 0.8×	28 1.4×	36	360
Skyler Weaver United States	12	671 1.8×	504 4.5×	39 1.1×	7 0.2×	22 1.1×	23	692
L.G. Heller United States	8	543 1.5×	208 1.9×	132 3.7×	19 0.6×	13 0.7×	15	557

Countries citing papers authored by Daniel Micusik

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Micusik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Micusik

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Micusik. A scholar is included among the top collaborators of Daniel Micusik 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 Daniel Micusik. Daniel Micusik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Awny, A., R. Nagulapalli, M. Kroh, et al.. (2017). A Linear Differential Transimpedance Amplifier for 100-Gb/s Integrated Coherent Optical Fiber Receivers. IEEE Transactions on Microwave Theory and Techniques. 66(2). 973–986. 82 indexed citations

Awny, A., R. Nagulapalli, Daniel Micusik, et al.. (2016). 23.5 A dual 64Gbaud 10kΩ 5% THD linear differential transimpedance amplifier with automatic gain control in 0.13µm BiCMOS technology for optical fiber coherent receivers. 406–407. 44 indexed citations

Rito, Pedro, Despoina Petousi, Lars Zimmermann, et al.. (2016). A Monolithically Integrated Segmented Linear Driver and Modulator in EPIC 0.25- $\mu$ m SiGe:C BiCMOS Platform. IEEE Transactions on Microwave Theory and Techniques. 64(12). 4561–4572. 39 indexed citations

Awny, A., R. Nagulapalli, Georg Winzer, et al.. (2015). A 40 Gb/s Monolithically Integrated Linear Photonic Receiver in a <formula formulatype="inline"><tex Notation="TeX">$0.25~\mu {\rm m}$</tex></formula> BiCMOS SiGe:C Technology. IEEE Microwave and Wireless Components Letters. 25(7). 469–471. 73 indexed citations

Rito, Pedro, Daniel Micusik, J. Borngräber, et al.. (2015). A 2.5 Vppd broadband 32 GHz BiCMOS linear driver with tunable delay line for InP segmented Mach-Zehnder modulators. 1–4. 8 indexed citations

Rito, Pedro, Daniel Micusik, G. Fiol, et al.. (2015). High speed BiCMOS linear driver core for segmented InP Mach-Zehnder modulators. Analog Integrated Circuits and Signal Processing. 87(2). 105–115. 8 indexed citations

Rito, Pedro, Daniel Micusik, J. Borngräber, et al.. (2015). A 40 Gb/s 4 Vpp IQ modulator driver in 0.13 µm SiGe:C BiCMOS technology for 25 Ω Mach-Zehnder Modulators. 1–4. 4 indexed citations

Winzer, Georg, M. Kroh, Stefan Lischke, et al.. (2015). Monolithic photonic-electronic QPSK receiver for 28Gbaud. Optical Fiber Communication Conference. M3C.4–M3C.4. 23 indexed citations

Carta, Corrado, et al.. (2014). A 32 GSps multiplexer with 1 kbit memory for arbitrary signal generation for testing digital‐to‐analogue converters. IET Circuits Devices & Systems. 8(6). 459–468. 2 indexed citations

10.

Zimmermann, Lars, D. Knoll, Stefan Lischke, et al.. (2014). Monolithic integration of photonic devices in SiGe BiCMOS. 102–103. 4 indexed citations

11.

Carta, Corrado, et al.. (2013). An inductorless 34 Gbit/s half-rate 4:1 multiplexer in 0.25-μm SiGe technology. 265–268. 1 indexed citations

12.

Scheytt, J. Christoph, et al.. (2012). SFDR considerations for current steering high-speed digital to analog converters. 1–4. 6 indexed citations

13.

Sedighi, Behnam, et al.. (2012). Design of hybrid resistive-capacitive DAC for SAR A/D converters. 508–511. 14 indexed citations

14.

Fischer, Gerhard G., et al.. (2012). Long-term reliability of high-performance SiGe:C heterojunction bipolar transistors. 1–4. 3 indexed citations

15.

Micusik, Daniel & Horst Zimmermann. (2008). 130dB-DR Transimpedance Amplifier with Monotonic Logarithmic Compression and High-Current Monitor. 78–597. 10 indexed citations

16.

Micusik, Daniel & Horst Zimmermann. (2007). Transimpedance amplifier with 120 dB dynamic range. Electronics Letters. 43(3). 159–160. 15 indexed citations

17.

Micusik, Daniel & Horst Zimmermann. (2007). A 240MHz-BW 112dB-DR TIA. 554–621. 5 indexed citations

18.

Stopjaková, Viera, Daniel Micusik, Ľubica Beňušková, & Martin Margala. (2003). Neural networks-based parametric testing of analog IC. 408–416. 8 indexed citations

19.

Stopjaková, Viera, et al.. (2003). Classification of Defective Analog Integrated Circuits Using Artificial Neural Networks. Journal of Electronic Testing. 20(1). 25–37. 26 indexed citations

20.

Micusik, Daniel, Viera Stopjaková, & Ľubica Beňušková. (2002). Application of Feed-forward Artificial Neural Networks to the Identification of Defective Analog Integrated Circuits. Neural Computing and Applications. 11(1). 71–79. 13 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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