João M. Pina

1.9k citations
26 papers · 1.5k indexed · 1 hit paper · h-index 19

João M. Pina

26 papers receiving 1.4k citations

Hit Papers

Dipole–dipole-interaction-assisted self-assembly of quant...1362024202620254080120

Peers

João M. Pina
Comparison fields: 5 of 71
  • Materials Chemistry 1.1k
  • Electrical and Electronic Engineering 1.2k
  • Acoustics and Ultrasonics 16
  • Polymers and Plastics 147
  • Atomic and Molecular Physics, and Optics 245
Replace Arianna Cretı̀ with:
Arianna Cretı̀ Italy
Jung Hoon Song South Korea
Subhrajit Mukherjee India
Michael Seitz United States
Ceng Han United Kingdom
Jun Xing China
Pedro Ludwig Hernández‐Martínez Singapore
Soonyoung Cha South Korea
Jeongkyun Roh South Korea
Xiaohua Wu United States
João M. Pina relative to Arianna Cretı̀ Italy Arianna Cretı̀'s profile →
Citations per field
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Arianna Cretı̀ · 1×
Citations per year

Countries citing papers authored by João M. Pina

Since Specialization
Citations

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

Fields of papers citing papers by João M. Pina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João M. Pina. 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 João M. Pina. The network helps show where João M. Pina may publish in the future.

Co-authorship network

The 25 scholars most cited alongside João M. Pina, 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 João M. Pina Line = papers co-authored together João M. Pina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 202423
3 202410
4 202413
5 202323
6 202323
7 202313
8 202336
9 202235
10 202216
11 202219
12 2022148
13 202060
14 202090
15 202062
16 2020188
17 202065
18 2020101
19 2020141
20 202073

About João M. Pina

João M. Pina is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum Dots Synthesis And Properties (21 papers), Perovskite Materials and Applications (18 papers), Chalcogenide Semiconductor Thin Films (11 papers), 2D Materials and Applications (3 papers), Plasmonic and Surface Plasmon Research (2 papers), Semiconductor Quantum Structures and Devices (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers) and Organic Light-Emitting Diodes Research (2 papers). The work is most often cited by research in Materials Chemistry (1.1k citations), Electrical and Electronic Engineering (1.2k citations), Acoustics and Ultrasonics (16 citations), Polymers and Plastics (147 citations) and Atomic and Molecular Physics, and Optics (245 citations). João M. Pina has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Edward H. Sargent, Oleksandr Voznyy, Sjoerd Hoogland, Andrew Johnston, Yi Hou, Maral Vafaie, Makhsud I. Saidaminov, Dongxin Ma, Haijie Chen and Yitong Dong. Their work appears in journals such as Advanced Materials, Nano Letters, physica status solidi (a), npj Computational Materials and Journal of the American Chemical Society.

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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