P. Asenov

11.3k total citations
23 papers, 236 citations indexed

About

P. Asenov is a scholar working on Electrical and Electronic Engineering, Nuclear and High Energy Physics and Radiation. According to data from OpenAlex, P. Asenov has authored 23 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 7 papers in Nuclear and High Energy Physics and 5 papers in Radiation. Recurrent topics in P. Asenov's work include Advancements in Semiconductor Devices and Circuit Design (11 papers), Semiconductor materials and devices (9 papers) and Particle Detector Development and Performance (7 papers). P. Asenov is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (11 papers), Semiconductor materials and devices (9 papers) and Particle Detector Development and Performance (7 papers). P. Asenov collaborates with scholars based in United Kingdom, Greece and Italy. P. Asenov's co-authors include Panagiotis Bousoulas, D. Tsoukalas, Dimitris Tsoukalas, Spyros Stathopoulos, Victor Moroz, Salvatore Amoroso, B. Cheng, C. Millar, Asen Asenov and Xingsheng Wang and has published in prestigious journals such as Journal of Applied Physics, IEEE Electron Device Letters and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

P. Asenov

23 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Asenov United Kingdom 8 230 41 24 18 16 23 236
Michael Lee McLain United States 13 517 2.2× 27 0.7× 9 0.4× 16 0.9× 17 1.1× 32 533
H. Aziza France 9 230 1.0× 51 1.2× 5 0.2× 7 0.4× 8 0.5× 57 235
Hitesh Shrimali India 11 271 1.2× 9 0.2× 29 1.2× 115 6.4× 15 0.9× 62 304
Thomas Gerard United Kingdom 9 285 1.2× 24 0.6× 12 0.5× 15 0.8× 4 0.3× 19 302
Zijian Wang China 6 63 0.3× 16 0.4× 10 0.4× 8 0.4× 3 0.2× 23 99
Marina Reyboz France 11 324 1.4× 44 1.1× 18 0.8× 13 0.7× 29 344
Mei‐Chin Chen United States 9 302 1.3× 36 0.9× 30 1.3× 23 1.3× 12 340
Gary Bronner United States 6 310 1.3× 42 1.0× 27 1.1× 11 0.6× 1 0.1× 13 327
Ogun Turkyilmaz France 9 254 1.1× 26 0.6× 9 0.4× 11 0.6× 15 261
Stefan Wiefels Germany 10 372 1.6× 141 3.4× 81 3.4× 7 0.4× 5 0.3× 28 394

Countries citing papers authored by P. Asenov

Since Specialization
Citations

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

Fields of papers citing papers by P. Asenov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Asenov

This figure shows the co-authorship network connecting the top 25 collaborators of P. Asenov. A scholar is included among the top collaborators of P. Asenov 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 P. Asenov. P. Asenov 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.
Menzio, Luca, R. Arcidiacono, M. Arneodo, et al.. (2024). A Two-Prong Approach to the Simulation of DC-RSD: TCAD and SPICE. IEEE Transactions on Nuclear Science. 71(2). 127–134. 1 indexed citations
2.
Morozzi, A., V. Sola, P. Asenov, et al.. (2023). TCAD optimization of LGAD sensors for extremely high fluence applications. Journal of Instrumentation. 18(1). C01008–C01008. 3 indexed citations
3.
Asenov, P., G. Abbiendi, M. Goncerz, et al.. (2022). A Geant4-based simulation study for a preliminary setup of the MUonE experiment. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 905–905. 1 indexed citations
4.
Morozzi, A., F. Moscatelli, V. Sola, et al.. (2022). TCAD simulations of non-irradiated and irradiated low-gain avalanche diodes and comparison with measurements. Journal of Instrumentation. 17(1). C01022–C01022. 5 indexed citations
5.
Asenov, P., R. Arcidiacono, N. Cartiglia, et al.. (2022). TCAD modeling of bulk radiation damage effects in silicon devices with the Perugia radiation damage model. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1040. 167180–167180. 5 indexed citations
6.
Asenov, P., P. Assiouras, A. Kyriakis, et al.. (2021). Study of p-type silicon MOS capacitors at HL-LHC radiation levels through irradiation with a cobalt-60 gamma source and a TCAD simulation. Journal of Instrumentation. 16(6). P06040–P06040. 1 indexed citations
7.
Moroz, Victor, et al.. (2020). Can We Ever Get to a 100 nm Tall Library? Power Rail Design for 1nm Technology Node. 1–2. 3 indexed citations
8.
Moroz, Victor, Xi–Wei Lin, P. Asenov, et al.. (2020). DTCO Launches Moore’s Law Over the Feature Scaling Wall. 41.1.1–41.1.4. 18 indexed citations
9.
Lee, Jaehyun, P. Asenov, M. Aldegunde, et al.. (2020). A Worst-Case Analysis of Trap-Assisted Tunneling Leakage in DRAM Using a Machine Learning Approach. IEEE Electron Device Letters. 42(2). 156–159. 20 indexed citations
10.
Song, S. C., B. Colombeau, Matthias Bauer, et al.. (2019). 2nm Node: Benchmarking FinFET vs Nano-Slab Transistor Architectures for Artificial Intelligence and Next Gen Smart Mobile Devices. T206–T207. 18 indexed citations
11.
12.
Bousoulas, Panagiotis, et al.. (2016). Engineering amorphous-crystalline interfaces in TiO2−x/TiO2−y-based bilayer structures for enhanced resistive switching and synaptic properties. Journal of Applied Physics. 120(15). 49 indexed citations
13.
Bousoulas, Panagiotis, P. Asenov, & Dimitris Tsoukalas. (2016). Physical modelling of the SET/RESET characteristics and analog properties of TiO<inf>x</inf>/HfO<inf>2−x</inf>/TiO<inf>x</inf>-based RRAM devices. CINECA IRIS Institutial research information system (University of Pisa). 27. 249–252. 1 indexed citations
14.
Asenov, Asen, et al.. (2016). Nanowire transistor solutions for 5nm and beyond. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 269–274. 26 indexed citations
15.
Asenov, A., Jie Ding, P. Asenov, et al.. (2015). Unified approach for simulation of statistical reliability in nanoscale CMOS transistors from devices to circuits. 2011. 2449–2452. 5 indexed citations
16.
Gerrer, Louis, C. Millar, A. Asenov, et al.. (2013). Interplay between statistical reliability and variability: A comprehensive transistor-to-circuit simulation technology. The HKU Scholars Hub (University of Hong Kong). 3A.2.1–3A.2.5. 16 indexed citations
17.
18.
Asenov, P., et al.. (2011). The effect of compact modelling strategy on SNM and Read Current variability in Modern SRAM. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 283–286. 3 indexed citations
19.
Asenov, P., Yangang Wang, Mark Zwoliński, et al.. (2011). Modelling circuit performance variations due to statistical variability: Monte Carlo static timing analysis. 1–4. 9 indexed citations
20.

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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