Elsi-Mari Laine
- Atomic and Molecular Physics, and Optics top 0.5%
- Artificial Intelligence top 0.2%
- Statistical and Nonlinear Physics top 0.5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Co-authors
- Jyrki PiiloHeinz‐Peter BreuerBassano VacchiniChuan‐Feng LiGuang‐Can GuoBi‐Heng LiuYun‐Feng HuangLi Li
- Topics
- Quantum Information and Cryptography (15 papers)Quantum Mechanics and Applications (12 papers)Quantum Computing Algorithms and Architecture (9 papers)
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
- Electrical and Electronic Engineering 101
- Cognitive Neuroscience 57
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 of co-authors of Elsi-Mari Laine
This figure shows the co-authorship network connecting the top 25 collaborators of Elsi-Mari Laine. A scholar is included among the top collaborators of Elsi-Mari Laine 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 Elsi-Mari Laine. Elsi-Mari Laine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 13 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | Colloquium: Non-Markovian dynamics in open quantum systemsbreakdown → | 903 |
| 6 | 105 | |
| 7 | 25 | |
| 8 | 71 | |
| 9 | 110 | |
| 10 | 105 | |
| 11 | 30 | |
| 12 | 136 | |
| 13 | Experimental control of the transition from Markovian to non-Markovian dynamics of open quantum systemsbreakdown → | 412 |
| 14 | Measure for the non-Markovianity of quantum processesbreakdown → | 359 |
| 15 | Measure for the Degree of Non-Markovian Behavior of Quantum Processes in Open Systemsbreakdown → | 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) and Quantum Computing Algorithms and Architecture (9 papers). 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.