G. I. Ivchenko

509 citations
63 papers · 283 indexed · h-index 9
Topics
Bayesian Methods and Mixture Models (14 papers)Stochastic processes and statistical mechanics (10 papers)advanced mathematical theories (7 papers)
Journals
Theory of Probability and Its ApplicationsJournal of Mathematical SciencesDiscrete Mathematics and Applications
Partner nations
RussiaUnited States

In The Last Decade

G. I. Ivchenko

44 papers receiving 179 citations

Peers

G. I. Ivchenko
Comparison fields: 5 of 72
  • Artificial Intelligence 99
  • Statistics and Probability 75
  • Mathematical Physics 75
  • Management Science and Operations Research 35
  • Discrete Mathematics and Combinatorics 27
Replace Владимир Гаврилович Михайлов with:
Владимир Гаврилович Михайлов Russia
Mindaugas Bloznelis Lithuania
Johan Wästlund Sweden
Pieter C. Allaart United States
M. L. Eaton United States
S. W. Dharmadhikari United States
Jerzy Jaworski Poland
Bernhard Gittenberger Austria
Xiequan Fan China
Gottlieb Pirsic Austria
G. I. Ivchenko relative to Владимир Гаврилович Михайлов Russia Владимир Гаврилович Михайлов's profile →
Citations per field
00.5×1.5×1.9×
Владимир Гаврилович Михайлов · 1×
Citations per year

Countries citing papers authored by G. I. Ivchenko

Since Specialization
Citations

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

Fields of papers citing papers by G. I. Ivchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. I. Ivchenko

This figure shows the co-authorship network connecting the top 25 collaborators of G. I. Ivchenko. A scholar is included among the top collaborators of G. I. Ivchenko 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 G. I. Ivchenko. G. I. Ivchenko 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 2
2 3
3 5
4 1
5 9
6 8
7 1
8 0
9 2
10 1
11 2
12 2
13 1
14 22
15 3
16 8
17 8
18 4
19 21
20 4

About G. I. Ivchenko

G. I. Ivchenko is a scholar working on Mathematical Physics, Statistics and Probability and Discrete Mathematics and Combinatorics, having authored 63 papers that have together received 283 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (14 papers), Stochastic processes and statistical mechanics (10 papers) and advanced mathematical theories (7 papers). The work is most often cited by research in Statistics and Probability (75 citations), Discrete Mathematics and Combinatorics (27 citations) and Mathematical Physics (75 citations). G. I. Ivchenko has collaborated with scholars based in Russia and United States. Frequent co-authors include В. А. Иванов, Tatiana Ivanova, А. В. Иванов and Boris Alexandrovich Sevast'yanov. Their work appears in journals such as Theory of Probability and Its Applications, Journal of Mathematical Sciences and Discrete Mathematics and Applications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026