Daniel Tordera

3.4k citations
69 papers · 2.9k · h-index 32

Impact in

Papers in

Daniel Tordera

69 papers receiving 2.9k citations

Peers

Daniel Tordera
Comparison fields: 5 of 65
  • Polymers and Plastics 721
  • Electrical and Electronic Engineering 2.1k
  • Electronic, Optical and Magnetic Materials 577
  • Materials Chemistry 1.2k
  • Organic Chemistry 433
Replace Zisheng Su with:
Zisheng Su China
Yonghao Zheng China
Yong Qiu China
Guifang Dong China
Bernard Geffroy France
Qian Xin China
Yong Yan China
Oliver Fenwick United Kingdom
Benoît Domercq United States
M. N. Kamalasanan India
Daniel Tordera relative to Zisheng Su China Zisheng Su's profile →
Citations per field
00.5×3.1×
Zisheng Su · 1×
Citations per year

Countries citing papers authored by Daniel Tordera

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tordera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Tordera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Tordera Line = papers co-authored together Daniel Tordera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014240
2 2011177
3 2011152
4 2012142
5 2017126
6 2017105
7 2012104
8 201392
9 201285
10 201181
11 201276
12 201374
13 201269
14 201968
15 201467
16 201965
17 201362
18 201260
19 202057
20 201356

About Daniel Tordera

Daniel Tordera is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 69 papers that have together received 2.9k indexed citations. Recurring topics across this work include Organic Light-Emitting Diodes Research (37 papers), Organic Electronics and Photovoltaics (17 papers), Conducting polymers and applications (15 papers), Luminescence and Fluorescent Materials (13 papers), Perovskite Materials and Applications (13 papers), Magnetism in coordination complexes (8 papers), Quantum Dots Synthesis And Properties (8 papers) and N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (6 papers). The work is most often cited by research in Polymers and Plastics (721 citations), Electrical and Electronic Engineering (2.1k citations), Electronic, Optical and Magnetic Materials (577 citations), Materials Chemistry (1.2k citations) and Organic Chemistry (433 citations). Daniel Tordera has collaborated with scholars based in Spain, Netherlands and Switzerland. Frequent co-authors include Henk J. Bolink, Enrique Ortı́, Antonio Pertegás, Sebastián Meier, Magnus P. Jonsson, Mohammad Khaja Nazeeruddin, Gerwin H. Gelinck, Martijn Lenes, Rubén D. Costa and Cristina Roldán‐Carmona. Their work appears in journals such as Advanced Optical Materials, Journal of Materials Chemistry C, Advanced Materials, Dalton Transactions and Nano Letters.

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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