Andrew J. Lohn
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Materials Chemistry
- Polymers and Plastics top 10%
- Cognitive Neuroscience
- Co-authors
- Matthew MarinellaPatrick R. MickelR. Stanley WilliamsByung Joon ChoiJ. Joshua YangJohn Paul StrachanZhiyong LiAntonio C. Torrezan
- Topics
- Advanced Memory and Neural Computing (21 papers)Ferroelectric and Negative Capacitance Devices (11 papers)Nanowire Synthesis and Applications (10 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Partner nations
- United StatesSouth Korea
In The Last Decade
Andrew J. Lohn
42 papers receiving 853 citations
Peers
Comparison fields: 5 of 73
- Electrical and Electronic Engineering 692
- Cellular and Molecular Neuroscience 283
- Materials Chemistry 151
- Polymers and Plastics 112
- Cognitive Neuroscience 91
Countries citing papers authored by Andrew J. Lohn
This map shows the geographic impact of Andrew J. Lohn'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 Andrew J. Lohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Lohn more than expected).
Fields of papers citing papers by Andrew J. Lohn
This network shows the impact of papers produced by Andrew J. Lohn. 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 Andrew J. Lohn. The network helps show where Andrew J. Lohn may publish in the future.
Co-authorship network of co-authors of Andrew J. Lohn
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Lohn. A scholar is included among the top collaborators of Andrew J. Lohn 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 Andrew J. Lohn. Andrew J. Lohn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 21 | |
| 5 | 2 | |
| 6 | 50 | |
| 7 | 19 | |
| 8 | 29 | |
| 9 | 23 | |
| 10 | 30 | |
| 11 | 38 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 19 | |
| 19 | 14 | |
| 20 | 1 |
About Andrew J. Lohn
Andrew J. Lohn is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Materials Chemistry, having authored 44 papers that have together received 895 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Nanowire Synthesis and Applications (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (283 citations), Electrical and Electronic Engineering (692 citations) and Polymers and Plastics (112 citations). Andrew J. Lohn has collaborated with scholars based in United States and South Korea. Frequent co-authors include Matthew Marinella, Patrick R. Mickel, R. Stanley Williams, Byung Joon Choi, J. Joshua Yang, John Paul Strachan, Zhiyong Li, Antonio C. Torrezan, Paul G. Kotula and Nobuhiko P. Kobayashi. Their work appears in journals such as Advanced Materials, Applied Physics Letters and Journal of Applied Physics.
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.