Nadja Giesbrecht

22 papers receiving 2.3k citations

Hit Papers

Blue-Green Color Tunable Solution Processable Organolead ...201520262018202220152017100200300400

Peers

Nadja Giesbrecht
Comparison fields: 5 of 36
  • Electrical and Electronic Engineering 2.3k
  • Materials Chemistry 1.8k
  • Polymers and Plastics 664
  • Atomic and Molecular Physics, and Optics 142
  • Electronic, Optical and Magnetic Materials 134
Replace Arman Mahboubi Soufiani with:
Arman Mahboubi Soufiani Australia
Cuncun Wu China
Gee Yeong Kim South Korea
Teck Wee Goh Singapore
Kaimin Xu China
Nir Kedem Israel
Femi Igbari China
Elizabeth S. Parrott United Kingdom
Johannes Schlipf Germany
Waqaas Rehman United Kingdom
Nadja Giesbrecht relative to Arman Mahboubi Soufiani Australia Arman Mahboubi Soufiani's profile →
Citations per field
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Arman Mahboubi Soufiani · 1×
Citations per year

Countries citing papers authored by Nadja Giesbrecht

Since Specialization
Citations

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

Fields of papers citing papers by Nadja Giesbrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadja Giesbrecht

This figure shows the co-authorship network connecting the top 25 collaborators of Nadja Giesbrecht. A scholar is included among the top collaborators of Nadja Giesbrecht 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 Nadja Giesbrecht. Nadja Giesbrecht 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
#WorkIndexed citations
1 162
2 14
3 28
4 55
5 89
6 9
7 43
8 38
9
Understanding charge transport in lead iodide perovskite thin-film field-effect transistorsbreakdown →
384
10 3
11 305
12 7
13 24
14 97
15 75
16 15
17
Blue-Green Color Tunable Solution Processable Organolead Chloride–Bromide Mixed Halide Perovskites for Optoelectronic Applicationsbreakdown →
478
18 271
19 20
20 49

About Nadja Giesbrecht

Nadja Giesbrecht is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics, having authored 22 papers that have together received 2.4k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (19 papers), Quantum Dots Synthesis And Properties (10 papers) and Chalcogenide Semiconductor Thin Films (10 papers). The work is most often cited by research in Polymers and Plastics (664 citations), Electrical and Electronic Engineering (2.3k citations) and Materials Chemistry (1.8k citations). Nadja Giesbrecht has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Pablo Docampo, Thomas Bein, Richard H. Friend, Peter Müller‐Buschbaum, Johannes Schlipf, Aditya Sadhanala, Fabian C. Hanusch, Phoebe Pearce, Baodan Zhao and Felix Deschler. Their work appears in journals such as Nano Letters, Advanced Energy Materials and ACS Applied Materials & Interfaces.

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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