Maciej R. Molas

3.9k citations
80 papers · 2.9k indexed · 2 hit papers · h-index 26
Topics
2D Materials and Applications (60 papers)Perovskite Materials and Applications (47 papers)Quantum Dots Synthesis And Properties (18 papers)
Partner nations
PolandFranceJapan

In The Last Decade

Maciej R. Molas

77 papers receiving 2.9k citations

Hit Papers

Resonantly hybridized excitons in moiré superlattices in ...201920262021202320192023200400600

Peers

Maciej R. Molas
Comparison fields: 5 of 57
  • Materials Chemistry 2.5k
  • Electrical and Electronic Engineering 1.8k
  • Atomic and Molecular Physics, and Optics 748
  • Biomedical Engineering 289
  • Electronic, Optical and Magnetic Materials 225
Replace Karol Nogajewski with:
Karol Nogajewski France
Ashish Arora Germany
Maciej Koperski Singapore
Guojun Ye China
Burak Aslan United States
Archana Raja United States
Kathleen M. McCreary United States
Emma C. Regan United States
Minyong Han United States
D. K. Maude France
Maciej R. Molas relative to Karol Nogajewski France Karol Nogajewski's profile →
Citations per field
00.5×1.6×
Karol Nogajewski · 1×
Citations per year

Countries citing papers authored by Maciej R. Molas

Since Specialization
Citations

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

Fields of papers citing papers by Maciej R. Molas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maciej R. Molas. 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 Maciej R. Molas. The network helps show where Maciej R. Molas may publish in the future.

Co-authorship network of co-authors of Maciej R. Molas

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej R. Molas. A scholar is included among the top collaborators of Maciej R. Molas 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 Maciej R. Molas. Maciej R. Molas 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 1
2 2
3 2
4 5
5 9
6 0
7 1
8 2
9 27
10 2
11 8
12 16
13 8
14 7
15 26
16 4
17 90
18 29
19 9
20 7

About Maciej R. Molas

Maciej R. Molas is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 80 papers that have together received 2.9k indexed citations. Recurring topics across this work include 2D Materials and Applications (60 papers), Perovskite Materials and Applications (47 papers) and Quantum Dots Synthesis And Properties (18 papers). The work is most often cited by research in Materials Chemistry (2.5k citations), Electrical and Electronic Engineering (1.8k citations) and Atomic and Molecular Physics, and Optics (748 citations). Maciej R. Molas has collaborated with scholars based in Poland, France and Japan. Frequent co-authors include M. Potemski, Karol Nogajewski, C. Faugeras, A. O. Slobodeniuk, Miroslav Bartoš, A. Babiński, Takashi Taniguchi, Kenji Watanabe, Maciej Koperski and Ashish Arora. Their work appears in journals such as Nature, Science 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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