Aday J. Molina‐Mendoza
- Materials Chemistry top 5%
- 2D Materials and Applications 13
- Graphene research and applications 8
- MXene and MAX Phase Materials 6
- Thermal properties of materials 2
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- Perovskite Materials and Applications 7
- Advanced Memory and Neural Computing 3
- CCD and CMOS Imaging Sensors 2
- Gas Sensing Nanomaterials and Sensors 2
- Polymers and Plastics top 10%
- Co-authors
- Thomas MuellerDmitry K. PolyushkinLukas MennelStefan WachterJoanna SymonowiczAndrés Castellanos-GómezHerre S. J. van der ZantRiccardo Frisenda
- Journals
- Nature Communications (2 papers)2D Materials (2 papers)Journal of Materials Chemistry C (2 papers)
- Partner nations
- AustriaSpainNetherlands
In The Last Decade
Aday J. Molina‐Mendoza
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Materials Chemistry 1.3k
- Electrical and Electronic Engineering 1.3k
- Polymers and Plastics 181
- Cellular and Molecular Neuroscience 205
- Acoustics and Ultrasonics 10
Countries citing papers authored by Aday J. Molina‐Mendoza
This map shows the geographic impact of Aday J. Molina‐Mendoza'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 Aday J. Molina‐Mendoza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aday J. Molina‐Mendoza more than expected).
Fields of papers citing papers by Aday J. Molina‐Mendoza
This network shows the impact of papers produced by Aday J. Molina‐Mendoza. 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 Aday J. Molina‐Mendoza. The network helps show where Aday J. Molina‐Mendoza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aday J. Molina‐Mendoza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 10 | |
| 2 | 2022 | 10 | |
| 3 | 2020 | 5 | |
| 4 | Ultrafast machine vision with 2D material neural network image sensorsbreakdown → | 2020 | 838 |
| 5 | 2020 | 25 | |
| 6 | 2019 | 109 | |
| 7 | 2019 | 18 | |
| 8 | 2018 | 245 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 102 | |
| 11 | 2017 | 50 | |
| 12 | 2017 | 57 | |
| 13 | 2017 | 169 | |
| 14 | 2016 | 35 | |
| 15 | 2016 | 103 | |
| 16 | 2016 | 199 | |
| 17 | 2016 | 41 | |
| 18 | 2016 | 54 | |
| 19 | 2015 | 2 |
About Aday J. Molina‐Mendoza
Aday J. Molina‐Mendoza is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Polymers and Plastics, Renewable Energy, Sustainability and the Environment and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include 2D Materials and Applications (13 papers), Graphene research and applications (8 papers), Perovskite Materials and Applications (7 papers), MXene and MAX Phase Materials (6 papers), Advanced Memory and Neural Computing (3 papers), Thermal properties of materials (2 papers), CCD and CMOS Imaging Sensors (2 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Materials Chemistry (1.3k citations), Electrical and Electronic Engineering (1.3k citations), Polymers and Plastics (181 citations), Cellular and Molecular Neuroscience (205 citations) and Acoustics and Ultrasonics (10 citations). Aday J. Molina‐Mendoza has collaborated with scholars based in Austria, Spain and Netherlands. Frequent co-authors include Thomas Mueller, Dmitry K. Polyushkin, Lukas Mennel, Stefan Wachter, Joanna Symonowicz, Andrés Castellanos-Gómez, Herre S. J. van der Zant, Riccardo Frisenda, Nicolás Agraı̈t and Gabino Rubio‐Bollinger. Their work appears in journals such as Nature Communications, 2D Materials, Journal of Materials Chemistry C, Advanced Electronic Materials and Advanced Optical Materials.
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.