Nicolai Lang

548 total citations
12 papers, 352 citations indexed

About

Nicolai Lang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Nicolai Lang has authored 12 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atomic and Molecular Physics, and Optics, 6 papers in Artificial Intelligence and 3 papers in Condensed Matter Physics. Recurrent topics in Nicolai Lang's work include Quantum many-body systems (10 papers), Topological Materials and Phenomena (6 papers) and Quantum Computing Algorithms and Architecture (5 papers). Nicolai Lang is often cited by papers focused on Quantum many-body systems (10 papers), Topological Materials and Phenomena (6 papers) and Quantum Computing Algorithms and Architecture (5 papers). Nicolai Lang collaborates with scholars based in Germany, Switzerland and Austria. Nicolai Lang's co-authors include Hans Peter Büchler, Sebastian D. Huber, Christina V. Kraus, Gunnar Möller, David Peter, Norman Y. Yao, Mikhail D. Lukin, Antoine Browaeys, Maria Daghofer and Thierry Lahaye and has published in prestigious journals such as Nature Communications, Physical Review B and Physical Review A.

In The Last Decade

Nicolai Lang

12 papers receiving 350 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolai Lang Germany 8 341 105 88 39 17 12 352
Sooshin Kim United States 5 285 0.8× 70 0.7× 71 0.8× 95 2.4× 13 0.8× 6 308
Debraj Rakshit India 10 347 1.0× 141 1.3× 54 0.6× 67 1.7× 11 0.6× 31 368
Michael Höning Germany 7 462 1.4× 127 1.2× 78 0.9× 58 1.5× 20 1.2× 8 469
Xi-Wen Guan Australia 13 301 0.9× 83 0.8× 114 1.3× 36 0.9× 8 0.5× 24 330
Maria Moreno-Cardoner Spain 9 368 1.1× 139 1.3× 86 1.0× 42 1.1× 8 0.5× 13 391
Dominik Muth Germany 9 274 0.8× 64 0.6× 65 0.7× 37 0.9× 7 0.4× 15 303
Izabella Lovas Hungary 8 221 0.6× 64 0.6× 79 0.9× 60 1.5× 7 0.4× 17 253
Kilian Sandholzer Switzerland 8 472 1.4× 74 0.7× 149 1.7× 62 1.6× 16 0.9× 9 493
Frederik Görg Switzerland 8 519 1.5× 78 0.7× 169 1.9× 51 1.3× 19 1.1× 9 538
Juan Polo United Arab Emirates 13 398 1.2× 65 0.6× 47 0.5× 46 1.2× 12 0.7× 30 403

Countries citing papers authored by Nicolai Lang

Since Specialization
Citations

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

Fields of papers citing papers by Nicolai Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolai Lang. 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 Nicolai Lang. The network helps show where Nicolai Lang may publish in the future.

Co-authorship network of co-authors of Nicolai Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolai Lang. A scholar is included among the top collaborators of Nicolai Lang 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 Nicolai Lang. Nicolai Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Lang, Nicolai, et al.. (2024). Absorbing state phase transition with Clifford circuits. Physical Review Research. 6(1). 1 indexed citations
2.
Büchler, Hans Peter, et al.. (2023). Functional completeness of planar Rydberg blockade structures. Physical review. B.. 108(8). 6 indexed citations
3.
Büchler, Hans Peter, et al.. (2023). Decoding the projective transverse field Ising model. Physical review. B.. 107(21). 4 indexed citations
4.
Lahaye, Thierry, et al.. (2022). Experimentally Accessible Scheme for a Fractional Chern Insulator in Rydberg Atoms. PRX Quantum. 3(3). 18 indexed citations
5.
Lang, Nicolai & Hans Peter Büchler. (2020). Entanglement transition in the projective transverse field Ising model. Physical review. B.. 102(9). 83 indexed citations
6.
Lang, Nicolai, et al.. (2017). Ising anyonic topological phase of interacting fermions in one dimension. Physical review. B.. 96(12). 11 indexed citations
7.
Lang, Nicolai & Hans Peter Büchler. (2017). Topological networks for quantum communication between distant qubits. npj Quantum Information. 3(1). 50 indexed citations
8.
Peter, David, Norman Y. Yao, Nicolai Lang, et al.. (2015). Topological bands with a Chern numberC=2by dipolar exchange interactions. Physical Review A. 91(5). 44 indexed citations
9.
Lang, Nicolai & Hans Peter Büchler. (2015). Topological states in a microscopic model of interacting fermions. Physical Review B. 92(4). 42 indexed citations
10.
Lang, Nicolai & Hans Peter Büchler. (2015). Exploring quantum phases by driven dissipation. Physical Review A. 92(1). 26 indexed citations
11.
Lang, Nicolai, et al.. (2014). Majorana modes and p-wave superfluids for fermionic atoms in optical lattices. Nature Communications. 5(1). 4504–4504. 60 indexed citations
12.
Lang, Nicolai & Hans Peter Büchler. (2012). Minimal instances for toric code ground states. Physical Review A. 86(2). 7 indexed citations

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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