Matthew M. Ackerman
- Electrical and Electronic Engineering top 5%
- Materials Chemistry top 5%
- Biomedical Engineering top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Philippe Guyot‐SionnestXin TangMenglu ChenGuohua ShenYuval YifatChristopher MelnychukPhilippe F. WeckKenneth R. Czerwinski
- Topics
- Quantum Dots Synthesis And Properties (14 papers)Chalcogenide Semiconductor Thin Films (10 papers)Advanced Semiconductor Detectors and Materials (9 papers)
- Cited by
- Materials ChemistryElectrical and Electronic EngineeringElectronic, Optical and Magnetic Materials
- Partner nations
- United States
In The Last Decade
Matthew M. Ackerman
16 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 1.0k
- Materials Chemistry 959
- Biomedical Engineering 275
- Atomic and Molecular Physics, and Optics 191
- Electronic, Optical and Magnetic Materials 170
Countries citing papers authored by Matthew M. Ackerman
This map shows the geographic impact of Matthew M. Ackerman'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 Matthew M. Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Ackerman more than expected).
Fields of papers citing papers by Matthew M. Ackerman
This network shows the impact of papers produced by Matthew M. Ackerman. 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 Matthew M. Ackerman. The network helps show where Matthew M. Ackerman may publish in the future.
Co-authorship network of co-authors of Matthew M. Ackerman
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew M. Ackerman. A scholar is included among the top collaborators of Matthew M. Ackerman 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 Matthew M. Ackerman. Matthew M. Ackerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 52 | |
| 4 | 36 | |
| 5 | 66 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | Dual-band infrared imaging using stacked colloidal quantum dot photodiodesbreakdown → | 404 |
| 9 | 86 | |
| 10 | 87 | |
| 11 | 55 | |
| 12 | 8 | |
| 13 | 154 | |
| 14 | 214 | |
| 15 | 55 | |
| 16 | 7 |
About Matthew M. Ackerman
Matthew M. Ackerman is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Dots Synthesis And Properties (14 papers), Chalcogenide Semiconductor Thin Films (10 papers) and Advanced Semiconductor Detectors and Materials (9 papers). The work is most often cited by research in Materials Chemistry (959 citations), Electrical and Electronic Engineering (1.0k citations) and Electronic, Optical and Magnetic Materials (170 citations). Matthew M. Ackerman has collaborated with scholars based in United States. Frequent co-authors include Philippe Guyot‐Sionnest, Xin Tang, Menglu Chen, Guohua Shen, Yuval Yifat, Christopher Melnychuk, Philippe F. Weck, Kenneth R. Czerwinski and Eunja Kim. Their work appears in journals such as Advanced Materials, The Journal of Chemical Physics and ACS Nano.
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.