Daniel Derkacs

1.9k total citations · 1 hit paper
23 papers, 1.5k citations indexed

About

Daniel Derkacs is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Daniel Derkacs has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 12 papers in Atomic and Molecular Physics, and Optics and 7 papers in Biomedical Engineering. Recurrent topics in Daniel Derkacs's work include solar cell performance optimization (15 papers), Semiconductor Quantum Structures and Devices (10 papers) and Chalcogenide Semiconductor Thin Films (9 papers). Daniel Derkacs is often cited by papers focused on solar cell performance optimization (15 papers), Semiconductor Quantum Structures and Devices (10 papers) and Chalcogenide Semiconductor Thin Films (9 papers). Daniel Derkacs collaborates with scholars based in United States, Australia and India. Daniel Derkacs's co-authors include Edward T. Yu, S. H. Lim, Peter Matheu, W. Mar, Claiborne McPheeters, Paul K. L. Yu, V.A. Sabnis, Onur Fidaner, D. M. Schaadt and S. Wojtczuk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Daniel Derkacs

22 papers receiving 1.4k citations

Hit Papers

Improved performance of amorphous silicon solar cells via... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Derkacs United States 13 1.1k 788 619 368 242 23 1.5k
S. H. Lim United States 13 1.1k 1.0× 752 1.0× 648 1.0× 382 1.0× 217 0.9× 24 1.5k
Peter Matheu United States 9 1.1k 1.0× 842 1.1× 577 0.9× 374 1.0× 182 0.8× 11 1.5k
W. Mar United States 6 602 0.6× 544 0.7× 452 0.7× 255 0.7× 98 0.4× 7 993
Aimi Abass Belgium 15 898 0.8× 454 0.6× 495 0.8× 304 0.8× 338 1.4× 36 1.3k
Tapio Niemi Finland 19 883 0.8× 379 0.5× 276 0.4× 145 0.4× 587 2.4× 94 1.3k
Nicholas Stokes Australia 12 412 0.4× 464 0.6× 282 0.5× 202 0.5× 117 0.5× 16 758
Shing-Chung Wang Taiwan 18 857 0.8× 266 0.3× 695 1.1× 414 1.1× 656 2.7× 63 1.5k
David T. Crouse United States 15 379 0.4× 497 0.6× 303 0.5× 219 0.6× 235 1.0× 74 875
Lucia V. Mercaldo Italy 19 791 0.7× 309 0.4× 509 0.8× 223 0.6× 208 0.9× 91 1.2k
Usha Philipose United States 19 620 0.6× 438 0.6× 644 1.0× 181 0.5× 301 1.2× 72 991

Countries citing papers authored by Daniel Derkacs

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Derkacs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Derkacs

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Derkacs. A scholar is included among the top collaborators of Daniel Derkacs 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 Derkacs. Daniel Derkacs 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
3.
Lepkowski, Daniel L., Tyler J. Grassman, Mattias K. Juhl, et al.. (2021). 23.4% monolithic epitaxial GaAsP/Si tandem solar cells and quantification of losses from threading dislocations. Solar Energy Materials and Solar Cells. 230. 111299–111299. 19 indexed citations
4.
Lepkowski, Daniel L., Anastasia Soeriyadi, Mattias K. Juhl, et al.. (2020). Loss Analysis and Design Strategies Enabling >23% GaAsP/Si Tandem Solar Cells. 1884–1886. 6 indexed citations
5.
Lepkowski, Daniel L., et al.. (2019). Development and Characterization of III-V/Si Multijunction Photovoltaics for Space Application. 2822–2825. 1 indexed citations
6.
Grassman, Tyler J., Daniel L. Lepkowski, Hamid Mehrvarz, et al.. (2019). Toward >25% Efficient Monolithic Epitaxial GaAsP/Si Tandem Solar Cells. 734–737. 13 indexed citations
7.
McPheeters, Claiborne, Zachary S. Bittner, Samantha C. Cruz, et al.. (2018). Progress in the Development, Qualification, and Productization of IMM-α. 3347–3351. 3 indexed citations
8.
Derkacs, Daniel, Dan Aiken, Zachary S. Bittner, et al.. (2018). Development of IMM-α and Z4J Radiation Hard III-V Solar Cells. 3757–3762. 5 indexed citations
9.
Sharps, Paul, D. Aiken, Samantha C. Cruz, et al.. (2017). Next Generation Radiation Hard IMM Space Solar Cells. SHILAP Revista de lepidopterología. 16. 3002–3002. 8 indexed citations
10.
Derkacs, Daniel, et al.. (2016). Manufacturing improvement of IMM solar cells and flex string arrays on the AFRL Mantech program. 1327–1330. 1 indexed citations
11.
Derkacs, Daniel, Onur Fidaner, Ting Liu, et al.. (2013). Using Dilute Nitrides to Achieve Record Solar Cell Efficiencies. MRS Proceedings. 1538. 161–166. 12 indexed citations
12.
Derkacs, Daniel, et al.. (2012). Luminescent Coupling in GaAs/GaInNAsSb Multijunction Solar Cells. IEEE Journal of Photovoltaics. 3(1). 520–527. 53 indexed citations
13.
Wojtczuk, S., et al.. (2010). InGaP/GaAs/InGaAs 41% concentrator cells using bi-facial epigrowth. 312. 1259–1264. 34 indexed citations
14.
Chiu, Philip, et al.. (2010). InGaP/GaAs/InGaAs triple junction concentrators using bi-facial epigrowth. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7769. 776909–776909. 6 indexed citations
15.
McPheeters, Claiborne, Cory J. Hill, S. H. Lim, et al.. (2010). Toward high-efficiency quantum dot solar cells: optimized gratings for ultrathin waveguide devices. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7772. 777209–777209. 1 indexed citations
16.
McPheeters, Claiborne, Cory J. Hill, S. H. Lim, et al.. (2009). Improved performance of In(Ga)As/GaAs quantum dot solar cells via light scattering by nanoparticles. Journal of Applied Physics. 106(5). 22 indexed citations
17.
Derkacs, Daniel, et al.. (2008). Nanoparticle-induced light scattering for improved performance of quantum-well solar cells. Applied Physics Letters. 93(9). 113 indexed citations
18.
Yu, Edward T., Daniel Derkacs, Peter Matheu, & D. M. Schaadt. (2008). Plasmonic nanoparticle scattering for enhanced performance of photovoltaic and photodetector devices. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7033. 70331V–70331V. 37 indexed citations
19.
Lim, S. H., W. Mar, Peter Matheu, Daniel Derkacs, & Edward T. Yu. (2007). Photocurrent spectroscopy of optical absorption enhancement in silicon photodiodes via scattering from surface plasmon polaritons in gold nanoparticles. Journal of Applied Physics. 101(10). 297 indexed citations
20.
Derkacs, Daniel, S. H. Lim, Peter Matheu, W. Mar, & Edward T. Yu. (2006). Improved performance of amorphous silicon solar cells via scattering from surface plasmon polaritons in nearby metallic nanoparticles. Applied Physics Letters. 89(9). 607 indexed citations breakdown →

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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