Peter J. Gilgunn
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Polymers and Plastics
- Co-authors
- Gary K. FedderRakesh KhilwaniXinyan Tracy CuiO. Burak ÖzdoğanlarTakashi D.Y. KozaiDouglas J. WeberXia LiNiladri Sarkar
- Topics
- Neuroscience and Neural Engineering (6 papers)Advanced MEMS and NEMS Technologies (4 papers)Plasma Diagnostics and Applications (3 papers)
- Journals
- BiomaterialsJournal of Vacuum Science & Technology A Vacuum Surfaces and FilmsJournal of Microelectromechanical Systems
- Partner nations
- United StatesNetherlandsRussia
In The Last Decade
Peter J. Gilgunn
13 papers receiving 355 citations
Peers
Comparison fields: 5 of 41
- Cellular and Molecular Neuroscience 277
- Cognitive Neuroscience 143
- Electrical and Electronic Engineering 131
- Biomedical Engineering 124
- Polymers and Plastics 69
Countries citing papers authored by Peter J. Gilgunn
This map shows the geographic impact of Peter J. Gilgunn'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 Peter J. Gilgunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Gilgunn more than expected).
Fields of papers citing papers by Peter J. Gilgunn
This network shows the impact of papers produced by Peter J. Gilgunn. 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 Peter J. Gilgunn. The network helps show where Peter J. Gilgunn may publish in the future.
Co-authorship network of co-authors of Peter J. Gilgunn
This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Gilgunn. A scholar is included among the top collaborators of Peter J. Gilgunn 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 Peter J. Gilgunn. Peter J. Gilgunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 165 | |
| 3 | 5 | |
| 4 | 24 | |
| 5 | 3 | |
| 6 | 57 | |
| 7 | 3 | |
| 8 | SOI-CMOS-MEMS electrothermal micromirror arrays | 2 |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 39 |
About Peter J. Gilgunn
Peter J. Gilgunn is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Mechanics of Materials, having authored 13 papers that have together received 359 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Advanced MEMS and NEMS Technologies (4 papers) and Plasma Diagnostics and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (277 citations), Cognitive Neuroscience (143 citations) and Polymers and Plastics (69 citations). Peter J. Gilgunn has collaborated with scholars based in United States, Netherlands and Russia. Frequent co-authors include Gary K. Fedder, Rakesh Khilwani, Xinyan Tracy Cui, O. Burak Özdoğanlar, Takashi D.Y. Kozai, Douglas J. Weber, Xia Li, Niladri Sarkar, Jingwei Liu and Géza Erdös. Their work appears in journals such as Biomaterials, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films and Journal of Microelectromechanical Systems.
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.