Graciela Prieto
- Radiology, Nuclear Medicine and Imaging top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Mechanical Engineering
- Catalysis
- Co-authors
- Akira MizunoKazunori TakashimaShinji KatsuraTakao A. YamamotoHyun‐Ha KimShigeru FutamuraKazunori MizunoMonika Michalska
- Topics
- Plasma Applications and Diagnostics (16 papers)Catalytic Processes in Materials Science (13 papers)Electrohydrodynamics and Fluid Dynamics (6 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingMaterials ChemistryElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Industry ApplicationsIEEE Transactions on Plasma ScienceJournal of Electrostatics
- Partner nations
- ArgentinaJapanUnited States
In The Last Decade
Graciela Prieto
18 papers receiving 390 citations
Peers
Comparison fields: 5 of 42
- Radiology, Nuclear Medicine and Imaging 348
- Electrical and Electronic Engineering 303
- Materials Chemistry 251
- Mechanical Engineering 35
- Catalysis 31
Countries citing papers authored by Graciela Prieto
This map shows the geographic impact of Graciela Prieto'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 Graciela Prieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graciela Prieto more than expected).
Fields of papers citing papers by Graciela Prieto
This network shows the impact of papers produced by Graciela Prieto. 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 Graciela Prieto. The network helps show where Graciela Prieto may publish in the future.
Co-authorship network of co-authors of Graciela Prieto
This figure shows the co-authorship network connecting the top 25 collaborators of Graciela Prieto. A scholar is included among the top collaborators of Graciela Prieto 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 Graciela Prieto. Graciela Prieto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 19 | |
| 4 | 11 | |
| 5 | Hydrogen production from residual heavy oil | 0 |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 8 | |
| 12 | 11 | |
| 13 | 117 | |
| 14 | 3 | |
| 15 | 41 | |
| 16 | 58 | |
| 17 | 4 | |
| 18 | Inductively-Coupled r.f. Plasma Reactor for Destruction of Ozone Depleting Substances | 6 |
| 19 | 92 | |
| 20 | 1 |
About Graciela Prieto
Graciela Prieto is a scholar working on Radiology, Nuclear Medicine and Imaging, Catalysis and Materials Chemistry, having authored 20 papers that have together received 407 indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (16 papers), Catalytic Processes in Materials Science (13 papers) and Electrohydrodynamics and Fluid Dynamics (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (348 citations), Materials Chemistry (251 citations) and Electrical and Electronic Engineering (303 citations). Graciela Prieto has collaborated with scholars based in Argentina, Japan and United States. Frequent co-authors include Akira Mizuno, Kazunori Takashima, Shinji Katsura, Takao A. Yamamoto, Hyun‐Ha Kim, Shigeru Futamura, Kazunori Mizuno, Monika Michalska, Atsushi Ogata and M. Nifuku. Their work appears in journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Plasma Science and Journal of Electrostatics.
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.