Małgorzata Białous

46 total papers · 406 total citations
28 papers, 275 citations indexed

About

Małgorzata Białous is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Małgorzata Białous has authored 28 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistical and Nonlinear Physics, 14 papers in Atomic and Molecular Physics, and Optics and 5 papers in Computer Networks and Communications. Recurrent topics in Małgorzata Białous's work include Quantum chaos and dynamical systems (23 papers), Quantum optics and atomic interactions (8 papers) and Nonlinear Photonic Systems (6 papers). Małgorzata Białous is often cited by papers focused on Quantum chaos and dynamical systems (23 papers), Quantum optics and atomic interactions (8 papers) and Nonlinear Photonic Systems (6 papers). Małgorzata Białous collaborates with scholars based in Poland, China and Sweden. Małgorzata Białous's co-authors include Leszek Sirko, Barbara Dietz, Michał Ławniczak, Szymon Bauch, Pavel Kurasov, A. Akhshani, Adam Sawicki and Omer Farooq and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Physica Scripta.

In The Last Decade

Małgorzata Białous

25 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Małgorzata Białous	208	168	45	30	26	28	275
Rafael Hernández Heredero	206 1.0×	88 0.5×	30 0.7×	23 0.8×	16 0.6×	24	298
О.А. Хрусталев	90 0.4×	133 0.8×	37 0.8×	14 0.5×	15 0.6×	33	321
Guo-Hong Yang	82 0.4×	114 0.7×	11 0.2×	6 0.2×	20 0.8×	42	303
Francis R. Halpern	78 0.4×	155 0.9×	19 0.4×	16 0.5×	10 0.4×	25	298
E. G. Kalnins	188 0.9×	150 0.9×	42 0.9×	19 0.6×	10 0.4×	14	311
Roman Schubert	260 1.3×	180 1.1×	62 1.4×	26 0.9×	8 0.3×	19	322
Biswajit Dutta	44 0.2×	219 1.3×	20 0.4×	12 0.4×	45 1.7×	12	296
Hans-Rudolf Jauslin	40 0.2×	247 1.5×	14 0.3×	12 0.4×	60 2.3×	13	301
Stefan Keppeler	150 0.7×	190 1.1×	42 0.9×	21 0.7×	10 0.4×	19	297
G. Servizi	175 0.8×	37 0.2×	66 1.5×	9 0.3×	50 1.9×	27	276

Countries citing papers authored by Małgorzata Białous

Since Specialization

Citations

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

Fields of papers citing papers by Małgorzata Białous

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Białous

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

All Works

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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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