Oleg Burdakov

922 citations
44 papers · 579 indexed · h-index 14

Impact in

Papers in

Oleg Burdakov

42 papers receiving 552 citations

Peers

Oleg Burdakov
Comparison fields: 5 of 96
  • Numerical Analysis 155
  • Computational Theory and Mathematics 125
  • Computer Networks and Communications 154
  • Aerospace Engineering 155
  • Computational Mechanics 108
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Citations per field
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Citations per year

Countries citing papers authored by Oleg Burdakov

Since Specialization
Citations

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

Fields of papers citing papers by Oleg Burdakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Oleg Burdakov, 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 Oleg Burdakov Line = papers co-authored together Oleg Burdakov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20223
2 20221
3 20201
4 201926
5 20198
6
Shape-Changing L-SR1 Trust-Region Methods
20162
7 201669
8 201343
9 20122
10 20111
11
Generalized PAV algorithm with block refinement for partially ordered monotonic regression
20094
12
A Dual Ascent Method for the Hop-constrained Shortest Path with Application to Positioning of Unmanned Aerial Vehicles
20085
13
Data preordering in generalized PAV algorithm for monotonic regression
20069
14
An O(n2) algorithm for isotonic regression problems
20066
15
Hasse diagrams and the generalized PAV-algorithm for monotonic regression in several explanatory variables
20050
16
Monotonic regression for the detection of temporal trends in environmental quality data
20055
17
A generalised PAV algorithm for monotonic regression in several variables
200418
18
On Limited Memory Methods with Shape Changing Trust Region
20032
19 19971
20 19868

About Oleg Burdakov

Oleg Burdakov is a scholar working on Numerical Analysis, Statistics and Probability, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering, having authored 44 papers that have together received 579 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (15 papers), Matrix Theory and Algorithms (10 papers), Iterative Methods for Nonlinear Equations (9 papers), Statistical Methods and Inference (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Advanced Statistical Methods and Models (6 papers), Robotic Path Planning Algorithms (6 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Numerical Analysis (155 citations), Computational Theory and Mathematics (125 citations), Computer Networks and Communications (154 citations), Aerospace Engineering (155 citations) and Computational Mechanics (108 citations). Oleg Burdakov has collaborated with scholars based in Sweden, Russia and United States. Frequent co-authors include Patrick Doherty, Kaj Holmberg, Oleg Sysoev, Jonas Kvarnström, Alexandra Schwartz, Christian Kanzow, Anders Grimvall, Ingemar Fredriksson, Marcus Larsson and Tomas Strömberg. Their work appears in journals such as Computational Statistics & Data Analysis, Annals of Operations Research, Optimization methods & software, Journal of Computational Mathematics and ACM Transactions on Mathematical Software.

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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