Marek M. Rams

1.9k citations
53 papers · 1.2k indexed · h-index 18

Impact in

Papers in

Marek M. Rams

49 papers receiving 1.2k citations

Peers

Marek M. Rams
Comparison fields: 5 of 45
  • Computational Mathematics 23
  • Condensed Matter Physics 427
  • Atomic and Molecular Physics, and Optics 1.1k
  • Statistical and Nonlinear Physics 289
  • Artificial Intelligence 416
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J. H. Pixley United States
A. Lee United States
Laurens Vanderstraeten Belgium
Salvatore R. Manmana Germany
Anna Keselman Israel
Takeshi Fukuhara Japan
Shao-Kai Jian United States
Iztok Pižorn Slovenia
Marco Schiró France
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Citations per field
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Citations per year

Countries citing papers authored by Marek M. Rams

Since Specialization
Citations

This map shows the geographic impact of Marek M. Rams'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 Marek M. Rams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek M. Rams more than expected).

Fields of papers citing papers by Marek M. Rams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marek M. Rams. 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 Marek M. Rams. The network helps show where Marek M. Rams may publish in the future.

Co-authors

The 25 scholars most cited alongside Marek M. Rams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marek M. Rams Line = papers co-authored together Marek M. Rams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012210
2 2007127
3 200886
4 201180
5
Precise extrapolation of the correlation function asymptotics in uniform tensor network states with application to the Bose-Hubbard and XXZ models
201863
6 202253
7 202047
8 201047
9 201644
10 201939
11 201936
12 201131
13 201027
14 202026
15 202025
16 201723
17 202121
18 201518
19 201816
20 201016

About Marek M. Rams

Marek M. Rams is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Statistical and Nonlinear Physics, Artificial Intelligence and Electronic, Optical and Magnetic Materials, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum many-body systems (40 papers), Quantum and electron transport phenomena (21 papers), Physics of Superconductivity and Magnetism (15 papers), Quantum Computing Algorithms and Architecture (9 papers), Cold Atom Physics and Bose-Einstein Condensates (7 papers), Opinion Dynamics and Social Influence (7 papers), Quantum Information and Cryptography (4 papers) and Magnetic properties of thin films (4 papers). The work is most often cited by research in Computational Mathematics (23 citations), Condensed Matter Physics (427 citations), Atomic and Molecular Physics, and Optics (1.1k citations), Statistical and Nonlinear Physics (289 citations) and Artificial Intelligence (416 citations). Marek M. Rams has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Jacek Dziarmaga, Wojciech H. Zurek, Łukasz Cincio, Adolfo del Campo, Bogdan Damski, Piotr Czarnik, Michael Zwolak, Markus Heyl, Markus Schmitt and Bartłomiej Gardas. Their work appears in journals such as Physical review. B., Physical Review Letters, Physical Review B, Physical Review A and New Journal of Physics.

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.

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