L.J. Geerligs

4.6k total citations · 1 hit paper
113 papers, 3.5k citations indexed

About

L.J. Geerligs is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, L.J. Geerligs has authored 113 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Electrical and Electronic Engineering, 66 papers in Atomic and Molecular Physics, and Optics and 15 papers in Materials Chemistry. Recurrent topics in L.J. Geerligs's work include Silicon and Solar Cell Technologies (73 papers), Semiconductor materials and interfaces (44 papers) and Thin-Film Transistor Technologies (39 papers). L.J. Geerligs is often cited by papers focused on Silicon and Solar Cell Technologies (73 papers), Semiconductor materials and interfaces (44 papers) and Thin-Film Transistor Technologies (39 papers). L.J. Geerligs collaborates with scholars based in Netherlands, Australia and Germany. L.J. Geerligs's co-authors include Daniel Macdonald, J. E. Mooij, V.F. Anderegg, Herre S. J. van der Zant, W. J. Elion, C. Urbina, H. Pothier, Michel Devoret, Mathijs Peters and D. Estève and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

L.J. Geerligs

108 papers receiving 3.4k citations

Hit Papers

Frequency-locked turnstile device for single electrons 1990 2026 2002 2014 1990 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.J. Geerligs Netherlands 31 2.5k 2.3k 731 574 173 113 3.5k
Chih‐Tang Sah United States 31 4.4k 1.8× 1.5k 0.7× 170 0.2× 869 1.5× 275 1.6× 118 4.7k
Yaoyi Li China 22 460 0.2× 1.7k 0.7× 679 0.9× 1.6k 2.9× 73 0.4× 91 2.5k
Michihisa Yamamoto Japan 23 850 0.3× 1.7k 0.8× 285 0.4× 1.6k 2.8× 34 0.2× 51 2.6k
Mohan Krishnamurthy United States 18 1.5k 0.6× 1.9k 0.8× 240 0.3× 915 1.6× 18 0.1× 52 2.3k
Yabin Fan United States 28 1.1k 0.5× 4.1k 1.8× 1.8k 2.5× 2.1k 3.6× 17 0.1× 63 4.6k
Shun‐Lien Chuang United States 24 1.2k 0.5× 1.7k 0.7× 939 1.3× 587 1.0× 14 0.1× 61 2.4k
Ganesh Sundaram United States 15 610 0.2× 846 0.4× 262 0.4× 631 1.1× 52 0.3× 52 1.5k
S. W. Koch United States 15 826 0.3× 1.4k 0.6× 190 0.3× 377 0.7× 13 0.1× 24 1.6k
Christian Tanguy France 19 358 0.1× 539 0.2× 164 0.2× 267 0.5× 15 0.1× 46 893

Countries citing papers authored by L.J. Geerligs

Since Specialization
Citations

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

Fields of papers citing papers by L.J. Geerligs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.J. Geerligs. 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 L.J. Geerligs. The network helps show where L.J. Geerligs may publish in the future.

Co-authorship network of co-authors of L.J. Geerligs

This figure shows the co-authorship network connecting the top 25 collaborators of L.J. Geerligs. A scholar is included among the top collaborators of L.J. Geerligs 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 L.J. Geerligs. L.J. Geerligs 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.
Thiesbrummel, Jarla, et al.. (2025). Excitation Intervals Enhance Performance in Perovskite Solar Cells. ACS Applied Materials & Interfaces. 17(43). 59476–59485.
2.
Alvarez, Agustín O., Jarla Thiesbrummel, Veronique S. Gevaerts, et al.. (2025). Intensity-Modulated Photoluminescence Spectroscopy for Revealing Ionic Processes in Halide Perovskites. ACS Energy Letters. 10(7). 3122–3131. 1 indexed citations
3.
Geerligs, L.J., et al.. (2024). Potential for Recycled Silicon Solar Cells as Feedstock for New Ingot Growth. Progress in Photovoltaics Research and Applications. 33(12). 1387–1399. 1 indexed citations
4.
Phung, Nga, Dong Zhang, Marcel A. Verheijen, et al.. (2023). Atomic layer deposition of NiO applied in a monolithic perovskite/PERC tandem cell. Solar Energy Materials and Solar Cells. 261. 112498–112498. 10 indexed citations
5.
Phung, Nga, W. Beyer, John N. van den Anker, et al.. (2022). Effective Hydrogenation of Poly-Si Passivating Contacts by Atomic-Layer-Deposited Nickel Oxide. IEEE Journal of Photovoltaics. 12(6). 1377–1385. 7 indexed citations
6.
Stodolny, Maciej K., Yu Wu, G.J.M. Janssen, et al.. (2017). Study of screen printed metallization for polysilicon based passivating contacts. Energy Procedia. 124. 851–861. 78 indexed citations
7.
Gutjahr, A., et al.. (2015). Manipulating reverse current in 21% n-MWT cells:. Repository hosted by TU Delft Library (TU Delft).
8.
Geerligs, L.J., et al.. (2014). Strategies for Ultra-Low Ag Consumption of Industrial n-Type Cells. EU PVSEC. 523–527. 1 indexed citations
9.
Geerligs, L.J., et al.. (2009). Impact of transition metals in feedstock on multicrystalline silicon solar cell properties:. TNO Repository. 1 indexed citations
10.
Veltkamp, A.C., et al.. (2009). Internal gettering of iron and chromium to improve multicrystalline silicon wafers. TNO Repository. 1 indexed citations
11.
Macdonald, Daniel, AnYao Liu, Fiacre Rougieux, et al.. (2009). Boron-Oxygen Defects in Compensated p-Type Czochralski Silicon. EU PVSEC. 4 indexed citations
12.
Weeber, A.W., et al.. (2009). High efficiency N-type multicrystalline solar cells. TNO Repository. 1 indexed citations
13.
Geerligs, L.J., et al.. (2006). N-type silicon solar cell with Al back junction: results and modeling:. TNO Repository. 1 indexed citations
14.
Geerligs, L.J., Gianluca Coletti, & Daniel Macdonald. (2006). On accurate and quantatative measurements of iron-concentration in multicrystalline silicon by iron-boron pair association. ANU Open Research (Australian National University). 5 indexed citations
15.
Macdonald, Daniel, Thomas Roth, L.J. Geerligs, & Andrés Cuevas. (2005). Behaviour of Natural and Implanted Iron during Annealing of Multicrystalline Silicon Wafers. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 108-109. 519–524. 3 indexed citations
16.
Geerligs, L.J., et al.. (2003). Analysis of cell-process induced changes in multicrystalline silicon. 3rd World Conference onPhotovoltaic Energy Conversion, 2003. Proceedings of. 2. 1384–1387. 6 indexed citations
17.
Geerligs, L.J.. (2003). Impact of defect distribution and impurities on multicrystalline silicon cell efficiency. 3rd World Conference onPhotovoltaic Energy Conversion, 2003. Proceedings of. 2. 1044–1047. 7 indexed citations
18.
Schönecker, Andreas, et al.. (2003). Casting Technologies for Solar Silicon Wafers: Block Casting and Ribbon-Growth-on-Substrate. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 95-96. 149–158. 23 indexed citations
19.
Geerligs, L.J., P. Hadley, J. E. Mooij, et al.. (1991). Single Cooper pair pump. The European Physical Journal B. 85(3). 349–355. 57 indexed citations
20.
Geerligs, L.J.. (1990). Classical and quantum charge dynamics in small tunnel junctions. Research Repository (Delft University of Technology). 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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