Nirmana Perera

666 total citations
39 papers, 507 citations indexed

About

Nirmana Perera is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics and Control and Systems Engineering. According to data from OpenAlex, Nirmana Perera has authored 39 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 19 papers in Condensed Matter Physics and 6 papers in Control and Systems Engineering. Recurrent topics in Nirmana Perera's work include Silicon Carbide Semiconductor Technologies (28 papers), GaN-based semiconductor devices and materials (19 papers) and Advanced DC-DC Converters (14 papers). Nirmana Perera is often cited by papers focused on Silicon Carbide Semiconductor Technologies (28 papers), GaN-based semiconductor devices and materials (19 papers) and Advanced DC-DC Converters (14 papers). Nirmana Perera collaborates with scholars based in Switzerland, Canada and Sri Lanka. Nirmana Perera's co-authors include Elison Matioli, Armin Jafari, Mohammad Samizadeh Nikoo, Luca Nela, John Salmon, Reza Soleimanzadeh, Andrew M. Knight, Minghua Zhu, Remco van Erp and Ahteshamul Haque and has published in prestigious journals such as Nature, IEEE Transactions on Power Electronics and IEEE Transactions on Industry Applications.

In The Last Decade

Nirmana Perera

35 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nirmana Perera Switzerland 12 447 178 61 50 47 39 507
Armin Jafari Switzerland 11 386 0.9× 148 0.8× 21 0.3× 45 0.9× 37 0.8× 29 442
Gang Lyu China 12 575 1.3× 261 1.5× 57 0.9× 69 1.4× 23 0.5× 63 646
Kawin Surakitbovorn United States 12 404 0.9× 142 0.8× 25 0.4× 73 1.5× 33 0.7× 29 477
Ling Xia China 9 260 0.6× 148 0.8× 30 0.5× 54 1.1× 11 0.2× 32 337
Guanzhou Ren China 12 205 0.5× 152 0.9× 94 1.5× 61 1.2× 21 0.4× 27 336
G. Busatto Italy 19 1.1k 2.4× 143 0.8× 41 0.7× 45 0.9× 74 1.6× 105 1.1k
Tatsuhiko Fujihira Japan 11 1.0k 2.3× 142 0.8× 33 0.5× 84 1.7× 33 0.7× 32 1.1k
Kazuto Takao Japan 14 587 1.3× 68 0.4× 30 0.5× 23 0.5× 55 1.2× 83 636
G.J. Riedel Switzerland 12 369 0.8× 215 1.2× 12 0.2× 51 1.0× 30 0.6× 24 446

Countries citing papers authored by Nirmana Perera

Since Specialization
Citations

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

Fields of papers citing papers by Nirmana Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirmana Perera

This figure shows the co-authorship network connecting the top 25 collaborators of Nirmana Perera. A scholar is included among the top collaborators of Nirmana Perera 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 Nirmana Perera. Nirmana Perera 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.
Erp, Remco van, et al.. (2024). In-Chip Microfluidic Cooling Integrated on GaN Power IC Reaching High Power Density of 78 kW/l. IEEE Transactions on Power Electronics. 39(8). 9717–9723. 2 indexed citations
2.
Nela, Luca, et al.. (2021). Impact of Embedded Liquid Cooling on the Electrical Characteristics of GaN-on-Si Power Transistors. IEEE Electron Device Letters. 42(11). 1642–1645. 18 indexed citations
3.
Perera, Nirmana, et al.. (2021). Hard-Switching Losses in Power FETs: The Role of Output Capacitance. IEEE Transactions on Power Electronics. 37(7). 7604–7616. 18 indexed citations
4.
Nikoo, Mohammad Samizadeh, Armin Jafari, Nirmana Perera, & Elison Matioli. (2020). Efficient High Step-Up Operation in Boost Converters Based on Impulse Rectification. IEEE Transactions on Power Electronics. 35(11). 11287–11293. 8 indexed citations
5.
Nikoo, Mohammad Samizadeh, Armin Jafari, Nirmana Perera, & Elison Matioli. (2020). Negative Resistance in Cascode Transistors. IEEE Transactions on Power Electronics. 35(10). 9978–9981. 2 indexed citations
6.
Nikoo, Mohammad Samizadeh, et al.. (2020). Nanoplasma-enabled picosecond switches for ultrafast electronics. Nature. 579(7800). 534–539. 75 indexed citations
7.
Jafari, Armin, et al.. (2020). Comparison of Wide-Band-Gap Technologies for Soft-Switching Losses at High Frequencies. IEEE Transactions on Power Electronics. 35(12). 12595–12600. 70 indexed citations
8.
Nela, Luca, et al.. (2020). Performance of GaN Power Devices for Cryogenic Applications Down to 4.2 K. IEEE Transactions on Power Electronics. 36(7). 7412–7416. 76 indexed citations
9.
Perera, Nirmana, Mohammad Samizadeh Nikoo, Armin Jafari, Luca Nela, & Elison Matioli. (2020). $C_{\text{oss}}$ Loss Tangent of Field-Effect Transistors: Generalizing High-Frequency Soft-Switching Losses. IEEE Transactions on Power Electronics. 35(12). 12585–12589. 10 indexed citations
10.
Perera, Nirmana, Georgios Kampitsis, Remco van Erp, et al.. (2020). Analysis of Large-Signal Output Capacitance of Transistors Using Sawyer–Tower Circuit. IEEE Journal of Emerging and Selected Topics in Power Electronics. 9(3). 3647–3656. 22 indexed citations
11.
Jafari, Armin, et al.. (2020). 97.4%-Efficient All-GaN Dual-Active-Bridge Converter with High Step-up High-Frequency Matrix Transformer. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–8. 4 indexed citations
12.
Nikoo, Mohammad Samizadeh, et al.. (2020). Investigation on Output Capacitance Losses in Superjunction and GaN-on-Si Power Transistors. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 48–51. 6 indexed citations
13.
Jafari, Armin, et al.. (2020). Small-Signal Approach for Precise Evaluation of Gate Losses in Soft-Switched Wide-Band-Gap Transistors. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 1 indexed citations
14.
Nikoo, Mohammad Samizadeh, Armin Jafari, Nirmana Perera, & Elison Matioli. (2020). Output Capacitance Losses in Wide-Band-Gap Transistors: A Small-Signal Modeling Approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 190–193. 5 indexed citations
15.
Perera, Nirmana, Armin Jafari, Luca Nela, et al.. (2020). Output-Capacitance Hysteresis Losses of Field-Effect Transistors. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–8. 10 indexed citations
16.
Nikoo, Mohammad Samizadeh, Armin Jafari, Nirmana Perera, & Elison Matioli. (2019). New Insights on Output Capacitance Losses in Wide-Band-Gap Transistors. IEEE Transactions on Power Electronics. 35(7). 6663–6667. 29 indexed citations
17.
Nikoo, Mohammad Samizadeh, Armin Jafari, Nirmana Perera, & Elison Matioli. (2019). Measurement of Large-Signal C OSS and C OSS Losses of Transistors Based on Nonlinear Resonance. IEEE Transactions on Power Electronics. 35(3). 2242–2246. 33 indexed citations
18.
Perera, Nirmana, et al.. (2016). Thirteen-level inverter for photovoltaic applications. AIMS energy. 4(2). 397–413.
19.
Perera, Nirmana, Ahteshamul Haque, & John Salmon. (2016). A Preprocessed PWM Scheme for Three-Limb Core Coupled Inductor Inverters. IEEE Transactions on Industry Applications. 52(5). 4208–4217. 7 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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