A. Yu. Yeremin

939 total citations
25 papers, 715 citations indexed

About

A. Yu. Yeremin is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, A. Yu. Yeremin has authored 25 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 16 papers in Atomic and Molecular Physics, and Optics and 10 papers in Computational Mechanics. Recurrent topics in A. Yu. Yeremin's work include Matrix Theory and Algorithms (20 papers), Electromagnetic Scattering and Analysis (13 papers) and Advanced Numerical Methods in Computational Mathematics (10 papers). A. Yu. Yeremin is often cited by papers focused on Matrix Theory and Algorithms (20 papers), Electromagnetic Scattering and Analysis (13 papers) and Advanced Numerical Methods in Computational Mathematics (10 papers). A. Yu. Yeremin collaborates with scholars based in Russia and United States. A. Yu. Yeremin's co-authors include L. Yu. Kolotilina, Alexei M. Frolov, E. E. Tyrtyshnikov, S. A. Goreinov, Н. Л. Замарашкин, Igor Kaporin, Dianne P. O’Leary, Horst D. Simon and Yuri A. Kuznetsov and has published in prestigious journals such as Linear Algebra and its Applications, Journal of Physics B Atomic Molecular and Optical Physics and SIAM Journal on Matrix Analysis and Applications.

In The Last Decade

A. Yu. Yeremin

25 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Yu. Yeremin Russia 12 533 477 302 126 77 25 715
Diederik R. Fokkema Netherlands 8 582 1.1× 428 0.9× 276 0.9× 328 2.6× 67 0.9× 9 966
Noël M. Nachtigal United States 8 781 1.5× 477 1.0× 363 1.2× 443 3.5× 81 1.1× 10 1.2k
S. A. Goreinov Russia 8 202 0.4× 194 0.4× 209 0.7× 52 0.4× 50 0.6× 10 549
Zhongxiao Jia China 17 624 1.2× 377 0.8× 152 0.5× 335 2.7× 24 0.3× 70 805
Miloud Sadkane France 12 484 0.9× 231 0.5× 150 0.5× 299 2.4× 13 0.2× 76 646
Marco Caliari Italy 18 286 0.5× 276 0.6× 357 1.2× 413 3.3× 116 1.5× 54 989
Yuanzhe Xi United States 13 266 0.5× 216 0.5× 117 0.4× 48 0.4× 25 0.3× 36 390
Lucas Monzón United States 11 103 0.2× 157 0.3× 119 0.4× 69 0.5× 58 0.8× 25 597
Yogi A. Erlangga Netherlands 14 287 0.5× 443 0.9× 439 1.5× 56 0.4× 164 2.1× 37 955
Tomohiro Sogabe Japan 15 536 1.0× 253 0.5× 80 0.3× 262 2.1× 12 0.2× 73 721

Countries citing papers authored by A. Yu. Yeremin

Since Specialization
Citations

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

Fields of papers citing papers by A. Yu. Yeremin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Yu. Yeremin. 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 A. Yu. Yeremin. The network helps show where A. Yu. Yeremin may publish in the future.

Co-authorship network of co-authors of A. Yu. Yeremin

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

All Works

20 of 20 papers shown
1.
Yeremin, A. Yu., et al.. (2004). Factorized-Sparse-Approximate-Inverse Preconditionings of Linear Systems with Unsymmetric Matrices. Journal of Mathematical Sciences. 121(4). 2448–2457. 8 indexed citations
2.
Yeremin, A. Yu., et al.. (2003). New GMRES(k)-Type Algorithms with Explicit Restarts and the Analysis of Their Convergence Properties Based on Matrix Relations in QR Form. Journal of Mathematical Sciences. 114(6). 1863–1889. 2 indexed citations
3.
Yeremin, A. Yu., et al.. (2002). Prefiltration technique via aggregation for constructing low‐density high‐quality factorized sparse approximate inverse preconditionings. Numerical Linear Algebra with Applications. 10(3). 235–246. 4 indexed citations
4.
Kolotilina, L. Yu., et al.. (2001). A robust AINV-type method for constructing sparse approximate inverse preconditioners in factored form. Numerical Linear Algebra with Applications. 8(3). 165–179. 29 indexed citations
5.
Yeremin, A. Yu., et al.. (2000). Factorized sparse approximate inverse preconditionings. III. Iterative construction of preconditioners. Journal of Mathematical Sciences. 101(4). 3237–3254. 14 indexed citations
6.
Goreinov, S. A., E. E. Tyrtyshnikov, & A. Yu. Yeremin. (1997). Matrix-free iterative solution strategies for large dense linear systems. Numerical Linear Algebra with Applications. 4(4). 273–294. 39 indexed citations
7.
Tyrtyshnikov, E. E., A. Yu. Yeremin, & Н. Л. Замарашкин. (1997). Clusters, preconditioners, convergence. Linear Algebra and its Applications. 263. 25–48. 15 indexed citations
8.
Yeremin, A. Yu., et al.. (1995). Eigenvalue translation based preconditioners for the GMRES(k) method. Numerical Linear Algebra with Applications. 2(1). 51–77. 56 indexed citations
9.
Kolotilina, L. Yu. & A. Yu. Yeremin. (1995). FACTORIZED SPARSE APPROXIMATE INVERSE PRECONDITIONING II: SOLUTION OF 3D FE SYSTEMS ON MASSIVELY PARALLEL COMPUTERS. 7(2). 191–215. 34 indexed citations
10.
Yeremin, A. Yu., et al.. (1995). Variable Block CG Algorithms for Solving Large Sparse Symmetric Positive Definite Linear Systems on Parallel Computers, I: General Iterative Scheme. SIAM Journal on Matrix Analysis and Applications. 16(4). 1135–1153. 60 indexed citations
11.
O’Leary, Dianne P. & A. Yu. Yeremin. (1994). The linear algebra of block quasi-newton algorithms. Linear Algebra and its Applications. 212-213. 153–168. 7 indexed citations
12.
Simon, Horst D. & A. Yu. Yeremin. (1993). A new approach to construction of efficient iterative schemes for massively parallel applications: Variable block CG and BiCG methods and variable block Arnoldi procedure. PPSC. 57–60. 7 indexed citations
13.
Kolotilina, L. Yu. & A. Yu. Yeremin. (1993). Factorized Sparse Approximate Inverse Preconditionings I. Theory. SIAM Journal on Matrix Analysis and Applications. 14(1). 45–58. 262 indexed citations
14.
Kaporin, Igor, L. Yu. Kolotilina, & A. Yu. Yeremin. (1991). Block SSOR preconditionings for high-order 3D FE systems. II. Incomplete BSSOR preconditionings. Linear Algebra and its Applications. 154-156. 647–674. 11 indexed citations
15.
Yeremin, A. Yu., et al.. (1989). High-accuracy calculations of Coulomb bound states of mesomolecules. Journal of Physics B Atomic Molecular and Optical Physics. 22(7). L171–L174. 3 indexed citations
16.
Frolov, Alexei M. & A. Yu. Yeremin. (1989). Ground bound states in two-electron systems with Z=1. Journal of Physics B Atomic Molecular and Optical Physics. 22(8). 1263–1268. 44 indexed citations
17.
Kolotilina, L. Yu. & A. Yu. Yeremin. (1989). Block SSOR preconditionings for high order 3d fe systems. BIT Numerical Mathematics. 29(4). 805–823. 9 indexed citations
18.
Yeremin, A. Yu., et al.. (1988). Precise calculation of coulomb binding energies of mesomolecules. Few-Body Systems. 4(2). 111–114. 17 indexed citations
19.
Kolotilina, L. Yu. & A. Yu. Yeremin. (1987). Bruhat decomposition and solution of sparse linear algebraic systems. Russian Journal of Numerical Analysis and Mathematical Modelling. 2(6). 2 indexed citations
20.
Kolotilina, L. Yu. & A. Yu. Yeremin. (1986). On a family of two-level preconditionings of the incomplete block factorization type. Russian Journal of Numerical Analysis and Mathematical Modelling. 1(4). 32 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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