Anatoli Torokhti

503 citations
47 papers · 290 indexed · h-index 10
Topics
Sparse and Compressive Sensing Techniques (15 papers)Image and Signal Denoising Methods (15 papers)Blind Source Separation Techniques (13 papers)

In The Last Decade

Anatoli Torokhti

46 papers receiving 286 citations

Peers

Anatoli Torokhti
Comparison fields: 5 of 48
  • Computational Mechanics 123
  • Computational Theory and Mathematics 86
  • Computer Vision and Pattern Recognition 85
  • Control and Systems Engineering 84
  • Signal Processing 70
Replace Jianchao Bai with:
Jianchao Bai China
Yohann de Castro France
Ying Cui United States
Anastasios Zouzias Canada
Dmitriy Drusvyatskiy United States
Nigel Boston United States
Damek Davis United States
Adam Strzeboński United States
Charles Dossal France
Hans Raj Tiwary Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Anatoli Torokhti

Since Specialization
Citations

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

Fields of papers citing papers by Anatoli Torokhti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anatoli Torokhti

This figure shows the co-authorship network connecting the top 25 collaborators of Anatoli Torokhti. A scholar is included among the top collaborators of Anatoli Torokhti 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 Anatoli Torokhti. Anatoli Torokhti 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 0
2 1
3 2
4 1
5 3
6 2
7 4
8 24
9
Computational Methods for Modeling of Nonlinear Systems
11
10 1
11 56
12 3
13 7
14 5
15 3
16 8
17 16
18 12
19
Discrete Tree Rational Transforms
1
20
A New Technique for Multidimensional Signal Compression
2

About Anatoli Torokhti

Anatoli Torokhti is a scholar working on Computational Mathematics, Signal Processing and Computational Mechanics, having authored 47 papers that have together received 290 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (15 papers), Image and Signal Denoising Methods (15 papers) and Blind Source Separation Techniques (13 papers). The work is most often cited by research in Computational Mathematics (19 citations), Numerical Analysis (41 citations) and Signal Processing (70 citations). Anatoli Torokhti has collaborated with scholars based in Australia, Costa Rica and United States. Frequent co-authors include Phil Howlett, Shmuel Friedland, C. E. M. Pearce, Charles Pearce, Stanley J. Miklavcic, Jonathan H. Manton, Hamid Laga, William Moran, Sylvan Elhay and Peter Pudney. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing and Annals of Operations Research.

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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