J.J. Sienicki
- Aerospace Engineering top 2%
- Mechanical Engineering top 5%
- Materials Chemistry top 10%
- Computational Mechanics top 5%
- Biomedical Engineering
- Topics
- Nuclear reactor physics and engineering (33 papers)Nuclear Materials and Properties (28 papers)Nuclear Engineering Thermal-Hydraulics (16 papers)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
J.J. Sienicki
73 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 47
- Aerospace Engineering 494
- Mechanical Engineering 473
- Materials Chemistry 396
- Computational Mechanics 264
- Biomedical Engineering 225
Countries citing papers authored by J.J. Sienicki
This map shows the geographic impact of J.J. Sienicki'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 J.J. Sienicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.J. Sienicki more than expected).
Fields of papers citing papers by J.J. Sienicki
This network shows the impact of papers produced by J.J. Sienicki. 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 J.J. Sienicki. The network helps show where J.J. Sienicki may publish in the future.
Co-authorship network of co-authors of J.J. Sienicki
This figure shows the co-authorship network connecting the top 25 collaborators of J.J. Sienicki. A scholar is included among the top collaborators of J.J. Sienicki 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 J.J. Sienicki. J.J. Sienicki 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 | 8 | |
| 3 | 98 | |
| 4 | SUPERSTAR: an improved natural circulation, lead-cooled, small modular fast reactor for international deployment | 10 |
| 5 | 55 | |
| 6 | Role of small lead-cooled fast reactors for international deployment in worldwide sustainable nuclear energy supply. | 3 |
| 7 | 50 | |
| 8 | SSTAR: The U.S. Lead-Cooled Fast Reactor (LFR) | 1 |
| 9 | Control of Supercritical CO 2 Brayton Cycle for LFR Autonomous Load Following | 1 |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | An advanced modular HLMC reactor concept featuring economy, safety, and proliferation resistance. | 18 |
| 14 | 0 | |
| 15 | 8 | |
| 16 | 7 | |
| 17 | Analysis of hydrodynamic phenomena in simulant experiments investigating cavity interactions following postulated vessel melt-through | 1 |
| 18 | 2 | |
| 19 | Geometry effects on solidification-induced stresses in growing fuel crust | 1 |
| 20 | 5 |
About J.J. Sienicki
J.J. Sienicki is a scholar working on Aerospace Engineering, Safety, Risk, Reliability and Quality and Catalysis, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (33 papers), Nuclear Materials and Properties (28 papers) and Nuclear Engineering Thermal-Hydraulics (16 papers). The work is most often cited by research in Aerospace Engineering (494 citations), Computational Mechanics (264 citations) and Mechanical Engineering (473 citations). J.J. Sienicki has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include A. Moisseytsev, C.F. Smith, D.C. Wade, William Halsey, Qiao Wu, L. Cinotti, N. Alpy, Jason Floyd, C. Artioli and Hiroshi Sekimoto. Their work appears in journals such as Journal of Nuclear Materials, Journal of Mathematical Physics and Nuclear Engineering and Design.
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.