Elsi-Mari Laine
-
- Quantum Mechanics and Applications 12
- Spectroscopy and Quantum Chemical Studies 2
- Quantum optics and atomic interactions 2
- Cold Atom Physics and Bose-Einstein Condensates 1
- Artificial Intelligence top 0.2%
- Quantum Information and Cryptography 15
- Quantum Computing Algorithms and Architecture 9
- Neural Networks and Reservoir Computing 1
- Statistical and Nonlinear Physics top 0.5%
- Advanced Thermodynamics and Statistical Mechanics 3
- Acoustics and Ultrasonics top 10%
- Co-authors
- Jyrki PiiloHeinz‐Peter BreuerBassano VacchiniChuan‐Feng LiGuang‐Can GuoBi‐Heng LiuYun‐Feng HuangLi Li
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
In The Last Decade
Elsi-Mari Laine
15 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Atomic and Molecular Physics, and Optics 3.1k
- Artificial Intelligence 2.9k
- Statistical and Nonlinear Physics 875
- Acoustics and Ultrasonics 25
- Condensed Matter Physics 41
Countries citing papers authored by Elsi-Mari Laine
This map shows the geographic impact of Elsi-Mari Laine'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 Elsi-Mari Laine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elsi-Mari Laine more than expected).
Fields of papers citing papers by Elsi-Mari Laine
This network shows the impact of papers produced by Elsi-Mari Laine. 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 Elsi-Mari Laine. The network helps show where Elsi-Mari Laine may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Elsi-Mari Laine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 48 | |
| 2 | 2016 | 13 | |
| 3 | 2016 | 8 | |
| 4 | 2016 | 14 | |
| 5 | Colloquium: Non-Markovian dynamics in open quantum systemsbreakdown → | 2016 | 903 |
| 6 | 2014 | 105 | |
| 7 | 2014 | 25 | |
| 8 | 2013 | 71 | |
| 9 | 2012 | 110 | |
| 10 | 2012 | 105 | |
| 11 | 2012 | 30 | |
| 12 | 2012 | 136 | |
| 13 | Experimental control of the transition from Markovian to non-Markovian dynamics of open quantum systemsbreakdown → | 2011 | 412 |
| 14 | Measure for the non-Markovianity of quantum processesbreakdown → | 2010 | 359 |
| 15 | Measure for the Degree of Non-Markovian Behavior of Quantum Processes in Open Systemsbreakdown → | 2009 | 1008 |
About Elsi-Mari Laine
Elsi-Mari Laine is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 15 papers that have together received 3.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (15 papers), Quantum Mechanics and Applications (12 papers), Quantum Computing Algorithms and Architecture (9 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Quantum optics and atomic interactions (2 papers), Cold Atom Physics and Bose-Einstein Condensates (1 paper) and Neural Networks and Reservoir Computing (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (3.1k citations), Artificial Intelligence (2.9k citations) and Statistical and Nonlinear Physics (875 citations). Elsi-Mari Laine has collaborated with scholars based in Finland, Germany and China. Frequent co-authors include Jyrki Piilo, Heinz‐Peter Breuer, Bassano Vacchini, Chuan‐Feng Li, Guang‐Can Guo, Bi‐Heng Liu, Yun‐Feng Huang, Li Li, Antti Karlsson and Yulong Li. Their work appears in journals such as Physical Review Letters, Reviews of Modern Physics and Scientific Reports.
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.