V. I. Tsifrinovich
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 5%
- Materials Chemistry
- Co-authors
- G. P. BermanG. D. DoolenF. BorgonoviGary D. DoolenRonnie MainieriP. C. HammelV. N. GorshkovDarryl D. Holm
- Topics
- Quantum and electron transport phenomena (29 papers)Quantum Information and Cryptography (29 papers)Quantum Computing Algorithms and Architecture (26 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPhysical review. B, Condensed matter
- Partner nations
- United StatesItalyMexico
In The Last Decade
V. I. Tsifrinovich
69 papers receiving 736 citations
Peers
Comparison fields: 5 of 53
- Atomic and Molecular Physics, and Optics 608
- Artificial Intelligence 358
- Electrical and Electronic Engineering 111
- Statistical and Nonlinear Physics 96
- Materials Chemistry 76
Countries citing papers authored by V. I. Tsifrinovich
This map shows the geographic impact of V. I. Tsifrinovich'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 V. I. Tsifrinovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. I. Tsifrinovich more than expected).
Fields of papers citing papers by V. I. Tsifrinovich
This network shows the impact of papers produced by V. I. Tsifrinovich. 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 V. I. Tsifrinovich. The network helps show where V. I. Tsifrinovich may publish in the future.
Co-authorship network of co-authors of V. I. Tsifrinovich
This figure shows the co-authorship network connecting the top 25 collaborators of V. I. Tsifrinovich. A scholar is included among the top collaborators of V. I. Tsifrinovich 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 V. I. Tsifrinovich. V. I. Tsifrinovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 28 | |
| 11 | 18 | |
| 12 | 23 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 68 | |
| 16 | 23 | |
| 17 | Modulation of nuclear decay rates in cold atoms and ions | 0 |
| 18 | 1 | |
| 19 | Nuclear single-pulse echo in ferromagnets | 0 |
| 20 | New mechanism for formation of nuclear spin echo | 1 |
About V. I. Tsifrinovich
V. I. Tsifrinovich is a scholar working on Atomic and Molecular Physics, and Optics, Structural Biology and Artificial Intelligence, having authored 76 papers that have together received 765 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (29 papers), Quantum Information and Cryptography (29 papers) and Quantum Computing Algorithms and Architecture (26 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (608 citations), Artificial Intelligence (358 citations) and Structural Biology (14 citations). V. I. Tsifrinovich has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include G. P. Berman, G. D. Doolen, F. Borgonovi, Gary D. Doolen, Ronnie Mainieri, P. C. Hammel, V. N. Gorshkov, Darryl D. Holm, Gustavo V. López and Marco Merkli. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.
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.