Bernard Bialecki

1.3k citations
76 papers · 1k · h-index 17

Impact in

Papers in

Bernard Bialecki

75 papers receiving 933 citations

Peers

Bernard Bialecki
Comparison fields: 5 of 37
  • Numerical Analysis 341
  • Computational Mechanics 547
  • Modeling and Simulation 92
  • Applied Mathematics 228
  • Computational Theory and Mathematics 211
Replace Ivan P. Gavrilyuk with:
Ivan P. Gavrilyuk Ukraine
Guangwei Yuan China
Kenneth L. Bowers United States
Rob P. Stevenson Netherlands
Hehu Xie China
Houde Han China
Klaus Böhmer Germany
M. M. Chawla India
Pierluigi Amodio A Italy
Tobias von Petersdorff United States
Bernard Bialecki relative to Ivan P. Gavrilyuk Ukraine Ivan P. Gavrilyuk's profile →
Citations per field
00.5×1.5×
Ivan P. Gavrilyuk · 1×
Citations per year

Countries citing papers authored by Bernard Bialecki

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Bialecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Bernard Bialecki, 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 Bernard Bialecki Line = papers co-authored together Bernard Bialecki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001115
2 199161
3 199256
4 201046
5 199844
6 199837
7 200134
8 199329
9 199927
10 199824
11 200323
12 199422
13 200819
14 199018
15 199318
16 199918
17 199517
18 198916
19 199416
20 200216

About Bernard Bialecki

Bernard Bialecki is a scholar working on Computational Mechanics, Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics and Atomic and Molecular Physics, and Optics, having authored 76 papers that have together received 1k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (53 papers), Matrix Theory and Algorithms (28 papers), Differential Equations and Numerical Methods (18 papers), Mathematical functions and polynomials (17 papers), Numerical methods for differential equations (16 papers), Electromagnetic Scattering and Analysis (5 papers), Differential Equations and Boundary Problems (3 papers) and Atomic and Molecular Physics (1 paper). The work is most often cited by research in Numerical Analysis (341 citations), Computational Mechanics (547 citations), Modeling and Simulation (92 citations), Applied Mathematics (228 citations) and Computational Theory and Mathematics (211 citations). Bernard Bialecki has collaborated with scholars based in United States, Cyprus and Spain. Frequent co-authors include Graeme Fairweather, Andréas Karageorghis, Ryan I. Fernandes, Bingkun Li, Xiao‐Chuan Cai, Maksymilian Dryja, Frank Stenger, Karin Remington, P. Keast and Yi Yan. Their work appears in journals such as SIAM Journal on Numerical Analysis, Numerical Algorithms, SIAM Journal on Scientific Computing, Numerical Methods for Partial Differential Equations and Journal of Computational and Applied Mathematics.

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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