S. Severi

2.3k total citations
115 papers, 1.7k citations indexed

About

S. Severi is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, S. Severi has authored 115 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Electrical and Electronic Engineering, 43 papers in Biomedical Engineering and 39 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in S. Severi's work include Semiconductor materials and devices (41 papers), Advanced MEMS and NEMS Technologies (40 papers) and Advancements in Semiconductor Devices and Circuit Design (29 papers). S. Severi is often cited by papers focused on Semiconductor materials and devices (41 papers), Advanced MEMS and NEMS Technologies (40 papers) and Advancements in Semiconductor Devices and Circuit Design (29 papers). S. Severi collaborates with scholars based in Belgium, United States and Netherlands. S. Severi's co-authors include Xavier Rottenberg, Philippe Hélin, Roel Baets, Ananth Z. Subramanian, Véronique Rochus, Ashim Dhakal, Stéphane Clemmen, Günther Roelkens, Bart Kuyken and Peter Bienstman and has published in prestigious journals such as Journal of Applied Physics, Journal of The Electrochemical Society and Nature Photonics.

In The Last Decade

S. Severi

110 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Severi Belgium 17 1.4k 682 534 250 152 115 1.7k
N.I. Maluf United States 16 1.4k 1.0× 607 0.9× 1.2k 2.2× 259 1.0× 124 0.8× 50 2.1k
G. Deligeorgis Greece 23 1.2k 0.9× 726 1.1× 634 1.2× 233 0.9× 158 1.0× 73 2.1k
Ofer Shapira United States 20 1.2k 0.9× 775 1.1× 667 1.2× 49 0.2× 40 0.3× 33 1.9k
Umberto Celano Belgium 27 2.0k 1.5× 353 0.5× 452 0.8× 459 1.8× 39 0.3× 94 2.6k
Mitsumasa Koyanagi Japan 31 4.1k 3.0× 376 0.6× 838 1.6× 160 0.6× 42 0.3× 379 4.4k
D. Massoubre United Kingdom 19 1.3k 1.0× 436 0.6× 499 0.9× 163 0.7× 40 0.3× 55 1.9k
P. Buchmann Switzerland 25 1.3k 0.9× 299 0.4× 459 0.9× 241 1.0× 59 0.4× 80 1.9k
Noa Mazurski Israel 23 936 0.7× 653 1.0× 762 1.4× 145 0.6× 33 0.2× 76 1.7k
Katsuyuki Machida Japan 17 1.0k 0.7× 394 0.6× 447 0.8× 114 0.5× 31 0.2× 206 1.4k
Jiebin Niu China 23 1.5k 1.1× 268 0.4× 339 0.6× 345 1.4× 45 0.3× 109 2.1k

Countries citing papers authored by S. Severi

Since Specialization
Citations

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

Fields of papers citing papers by S. Severi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Severi

This figure shows the co-authorship network connecting the top 25 collaborators of S. Severi. A scholar is included among the top collaborators of S. Severi 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 S. Severi. S. Severi 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.
Li, Yunlong, Vasyl Motsnyi, Wei Wei, et al.. (2023). Wafer Reconstitution: embedded multi-die III-V and silicon co-integration platform. 2 indexed citations
2.
Martens, Koen, D. Barge, Lijun Liu, et al.. (2023). (Invited) BioFETs and Nanopore FETs: Nanoscale Silicon Field-Effect Transistors for Single-Molecule Sensing. ECS Transactions. 111(1). 235–247. 1 indexed citations
3.
Bois, Bert Du, Rita Vos, S. Severi, et al.. (2020). Size Independent Sensitivity to Biomolecular Surface Density Using Nanoscale CMOS Technology Transistors. IEEE Sensors Journal. 20(16). 8956–8964. 10 indexed citations
4.
Martens, Koen, Bert Du Bois, Yong Kong Siew, et al.. (2019). 1/f Noise in Fully Integrated Electrolytically Gated FinFETs with Fin Width Down to 20nm. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
5.
López, Carolina Mora, et al.. (2019). Design and fabrication of CMOS-based neural probes for large-scale electrophysiology. ePrints Soton (University of Southampton). 18.4.1–18.4.4. 2 indexed citations
6.
Martens, Dries S., Ayssar A. Elamin, Ana Belén González‐Guerrero, et al.. (2018). A low-cost integrated biosensing platform based on SiN nanophotonics for biomarker detection in urine. Analytical Methods. 10(25). 3066–3073. 40 indexed citations
7.
López, Carolina Mora, Jan Putzeys, Bogdan Raducanu, et al.. (2017). A Neural Probe With Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13 $\mu$m SOI CMOS. IEEE Transactions on Biomedical Circuits and Systems. 11(3). 510–522. 148 indexed citations
8.
López, Carolina Mora, Srinjoy Mitra, Jan Putzeys, et al.. (2016). 22.7 A 966-electrode neural probe with 384 configurable channels in 0.13µm SOI CMOS. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 47 indexed citations
9.
Welkenhuysen, Marleen, Silke Musa, S. Severi, et al.. (2015). High-density optrode-electrode neural probe using SixNy photonics for in vivo optogenetics. Lirias (KU Leuven). 29.5.1–29.5.4. 13 indexed citations
10.
Rochus, Véronique, et al.. (2015). Fast analytical design of Poly-SiGe MEMS pressure sensors. 1–4. 3 indexed citations
11.
Chaudhuri, A., Philippe Hélin, S. Severi, et al.. (2015). CMOS integrated poly-sigemems accelerometer above 0.18 µm technology. 11–14. 2 indexed citations
12.
Rochus, Véronique, Stefan Cosemans, S. Severi, et al.. (2013). Design of SiGe Nano-Electromechanical relays for logic applications. 19. 1–7. 4 indexed citations
13.
Rochus, Véronique, et al.. (2012). Novel Nanoelectromechanical Relay Design Procedure for Logic and Memory Applications. TechConnect Briefs. 2(2012). 613–616. 2 indexed citations
14.
Wen, Lianggong, et al.. (2011). Thin film encapsulated SiGe accelerometer for MEMS above IC integration. xxiv. 2046–2049. 4 indexed citations
15.
Jansen, Roelof, Xavier Rottenberg, Melina Lofrano, et al.. (2011). A CMOS-compatible 24MHz poly-SiGe MEMS oscillator with low-power heating for frequency stabilization over temperature. 1–5. 3 indexed citations
16.
Braeken, Dries, Johan Wouters, Roger Loo, et al.. (2010). A novel 16k micro-nail CMOS-chip for in-vitro single-cell recording, stimulation and impedance measurements. PubMed. 2010. 2726–2729. 7 indexed citations
17.
Witvrouw, Ann, Bert Du Bois, Agnes Verbist, et al.. (2010). (Invited) SiGe MEMS Technology: A Platform Technology Enabling Different Demonstrators. ECS Transactions. 33(6). 799–812. 8 indexed citations
18.
Braeken, Dries, Danny Jans, Roger Loo, et al.. (2009). Local electrical stimulation of single adherent cells using three-dimensional electrode arrays with small interelectrode distances. 2756–2759. 10 indexed citations
19.
Pawlak, Bartek, E. Augendre, S. Severi, et al.. (2006). The Carbon Co-implant with Spike RTA Solution for Boron Extension. MRS Proceedings. 912. 4 indexed citations
20.
Severi, S., K. De Meyer, Ray Duffy, et al.. (2005). Integration of ultra shallow junctions in PVD TaN nMOS transistors with Flash Lamp Annealing. 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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