Alexander Gnedin

2.0k total citations
85 papers, 1.0k citations indexed

About

Alexander Gnedin is a scholar working on Artificial Intelligence, Mathematical Physics and Management Science and Operations Research. According to data from OpenAlex, Alexander Gnedin has authored 85 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 38 papers in Mathematical Physics and 26 papers in Management Science and Operations Research. Recurrent topics in Alexander Gnedin's work include Stochastic processes and statistical mechanics (35 papers), Bayesian Methods and Mixture Models (33 papers) and Optimization and Search Problems (21 papers). Alexander Gnedin is often cited by papers focused on Stochastic processes and statistical mechanics (35 papers), Bayesian Methods and Mixture Models (33 papers) and Optimization and Search Problems (21 papers). Alexander Gnedin collaborates with scholars based in Netherlands, Germany and United Kingdom. Alexander Gnedin's co-authors include Jim Pitman, Alexander Iksanov, Grigori Olshanski, Jean Bertoin, S. V. Kerov, Yuliy Baryshnikov, Martin Möhle, A. D. Barbour, Andrew B. Barbour and Leonid V. Bogachev and has published in prestigious journals such as Information Sciences, The Annals of Probability and Probability Theory and Related Fields.

In The Last Decade

Alexander Gnedin

82 papers receiving 964 citations

Peers

Alexander Gnedin
Comparison fields: 5 of 60
  • Artificial Intelligence 580
  • Mathematical Physics 570
  • Statistics and Probability 404
  • Management Science and Operations Research 230
  • Computer Networks and Communications 150
Replace Uwe Rösler with:
Uwe Rösler Germany
Sigeo Aki Japan
Hermann Þórisson Iceland
V. B. Nevzorov Russia
Wim Vervaat Netherlands
S. V. Nagaev Russia
G. L. O’Brien Canada
Konstantin Borovkov Australia
Douglas P. Kennedy United Kingdom
Emmanuel Rio France
Uwe Rösler Germany View profile →
Citations per field, relative to Alexander Gnedin
Alexander Gnedin · 1×
Citations per year, relative to Alexander Gnedin
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Countries citing papers authored by Alexander Gnedin

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Gnedin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Gnedin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Gnedin. A scholar is included among the top collaborators of Alexander Gnedin 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 Alexander Gnedin. Alexander Gnedin 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
# Work Indexed citations
1 1
2 3
3 1
4 0
5 1
6 4
7 17
8 2
9 5
10 2
11 1
12 9
13 13
14 19
15 26
16 2
17
Sequential selection of an increasing sequence
1
18 6
19 10
20 8

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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