Peter V. Pikhitsa
- Biomedical Engineering top 1%
- Electrical and Electronic Engineering top 2%
- Materials Chemistry top 5%
- Polymers and Plastics top 1%
- Cognitive Neuroscience top 2%
- Co-authors
- Mansoo ChoiDaeshik KangYong Whan ChoiChanseok LeeLinfeng PiaoKahp‐Yang SuhByeonghak ParkTae‐il Kim
- Topics
- Carbon Nanotubes in Composites (13 papers)Advanced Sensor and Energy Harvesting Materials (6 papers)Theoretical and Computational Physics (6 papers)
- Partner nations
- South KoreaUkraineUnited States
In The Last Decade
Peter V. Pikhitsa
60 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Biomedical Engineering 2.1k
- Electrical and Electronic Engineering 1.7k
- Materials Chemistry 1.5k
- Polymers and Plastics 970
- Cognitive Neuroscience 747
Countries citing papers authored by Peter V. Pikhitsa
This map shows the geographic impact of Peter V. Pikhitsa'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 V. Pikhitsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter V. Pikhitsa more than expected).
Fields of papers citing papers by Peter V. Pikhitsa
This network shows the impact of papers produced by Peter V. Pikhitsa. 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 V. Pikhitsa. The network helps show where Peter V. Pikhitsa may publish in the future.
Co-authorship network of co-authors of Peter V. Pikhitsa
This figure shows the co-authorship network connecting the top 25 collaborators of Peter V. Pikhitsa. A scholar is included among the top collaborators of Peter V. Pikhitsa 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 V. Pikhitsa. Peter V. Pikhitsa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 148 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 106 | |
| 7 | 16 | |
| 8 | Trapped charge-driven degradation of perovskite solar cellsbreakdown → | 526 |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 36 | |
| 12 | 94 | |
| 13 | 5 | |
| 14 | 15 | |
| 15 | 15 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 35 | |
| 19 | 20 | |
| 20 | 6 |
About Peter V. Pikhitsa
Peter V. Pikhitsa is a scholar working on Acoustics and Ultrasonics, Materials Chemistry and Condensed Matter Physics, having authored 65 papers that have together received 3.9k indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (13 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Theoretical and Computational Physics (6 papers). The work is most often cited by research in Polymers and Plastics (970 citations), Biomedical Engineering (2.1k citations) and Cognitive Neuroscience (747 citations). Peter V. Pikhitsa has collaborated with scholars based in South Korea, Ukraine and United States. Frequent co-authors include Mansoo Choi, Daeshik Kang, Yong Whan Choi, Chanseok Lee, Linfeng Piao, Kahp‐Yang Suh, Byeonghak Park, Tae‐il Kim, Sung Soo Shin and Albert G. Nasibulin. Their work appears in journals such as Nature, Physical Review Letters and Advanced 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.