Ya. I. Alber

1.7k citations
28 papers · 391 indexed · h-index 12
Topics
Optimization and Variational Analysis (17 papers)Advanced Optimization Algorithms Research (7 papers)Numerical methods in inverse problems (6 papers)

In The Last Decade

Ya. I. Alber

25 papers receiving 337 citations

Peers

Ya. I. Alber
Comparison fields: 5 of 46
  • Computational Theory and Mathematics 295
  • Numerical Analysis 163
  • Geometry and Topology 109
  • Mathematical Physics 93
  • Computational Mechanics 65
Replace L. Lerer with:
L. Lerer Israel
G. C. Bento Brazil
Zaki Chbani Morocco
Hung M. Phan United States
A. Libin United States
Александр Давидович Иоффе Israel
Merrell L. Patrick United States
L. Cesari United States
King-wah Eric Chu United Kingdom
Elena Resmerita Austria
Ya. I. Alber relative to L. Lerer Israel L. Lerer's profile →
Citations per field
00.5×10×14×
L. Lerer · 1×
Citations per year

Countries citing papers authored by Ya. I. Alber

Since Specialization
Citations

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

Fields of papers citing papers by Ya. I. Alber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya. I. Alber. 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 Ya. I. Alber. The network helps show where Ya. I. Alber may publish in the future.

Co-authorship network of co-authors of Ya. I. Alber

This figure shows the co-authorship network connecting the top 25 collaborators of Ya. I. Alber. A scholar is included among the top collaborators of Ya. I. Alber 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 Ya. I. Alber. Ya. I. Alber 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
#WorkIndexed citations
1 4
2 4
3 4
4 19
5 14
6 9
7 13
8 59
9 12
10 121
11 13
12 14
13 7
14 1
15 15
16 5
17 14
18 3
19 2
20 1

About Ya. I. Alber

Ya. I. Alber is a scholar working on Numerical Analysis, Mathematical Physics and Computational Theory and Mathematics, having authored 28 papers that have together received 391 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (17 papers), Advanced Optimization Algorithms Research (7 papers) and Numerical methods in inverse problems (6 papers). The work is most often cited by research in Numerical Analysis (163 citations), Computational Theory and Mathematics (295 citations) and Geometry and Topology (109 citations). Ya. I. Alber has collaborated with scholars based in Israel, Russia and United Kingdom. Frequent co-authors include Alfredo N. Iusem, M. V. Solodov, Jen‐Chih Yao, В. А. Козлов, A. A. Andronov, Л. М. Ерухимов, V. P. Uryadov, C.E. Chidume, V. Yu. Trakhtengerts and V. A. Ryzhov. Their work appears in journals such as Solid State Communications, Journal of Mathematical Analysis and Applications and Mathematical Programming.

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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