Ilya Pollak

93 total papers · 679 total citations
62 papers, 378 citations indexed

About

Ilya Pollak is a scholar working on Computer Vision and Pattern Recognition, Finance and Management Science and Operations Research. According to data from OpenAlex, Ilya Pollak has authored 62 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 15 papers in Finance and 15 papers in Management Science and Operations Research. Recurrent topics in Ilya Pollak's work include Image and Signal Denoising Methods (13 papers), Advanced Data Compression Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Ilya Pollak is often cited by papers focused on Image and Signal Denoising Methods (13 papers), Advanced Data Compression Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Ilya Pollak collaborates with scholars based in United States, Taiwan and Russia. Ilya Pollak's co-authors include Charles A. Bouman, Alan S. Willsky, Hamid Krim, Yan Huang, Mary P. Harper, Jeffrey Mark Siskind, Eric L. Miller, N. Minh, Jianbo Gao and Xiaogang Dong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Ilya Pollak

56 papers receiving 351 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ilya Pollak	222	64	48	38	34	62	378
Li Ma	203 0.9×	64 1.0×	13 0.3×	34 0.9×	55 1.6×	48	390
Stéphane Chrétien	78 0.4×	151 2.4×	37 0.8×	62 1.6×	14 0.4×	54	434
Liyun Su	88 0.4×	103 1.6×	56 1.2×	6 0.2×	28 0.8×	74	384
Shenglong Zhou	105 0.5×	114 1.8×	26 0.5×	139 3.7×	11 0.3×	40	430
Lu Zhou	129 0.6×	159 2.5×	14 0.3×	16 0.4×	14 0.4×	37	379
Jérôme Lapuyade‐Lahorgue	92 0.4×	134 2.1×	52 1.1×	12 0.3×	7 0.2×	23	369
Paulo S. Rodrigues	130 0.6×	172 2.7×	17 0.4×	6 0.2×	33 1.0×	44	368
Amirhassan Monadjemi	163 0.7×	76 1.2×	14 0.3×	20 0.5×	52 1.5×	42	334
Enrico Capobianco	42 0.2×	56 0.9×	27 0.6×	3 0.1×	27 0.8×	43	350
Juan Domingo	255 1.1×	78 1.2×	25 0.5×	23 0.6×	39 1.1×	45	425

Countries citing papers authored by Ilya Pollak

Since Specialization

Citations

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

Fields of papers citing papers by Ilya Pollak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Pollak

This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Pollak. A scholar is included among the top collaborators of Ilya Pollak 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 Ilya Pollak. Ilya Pollak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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