Evgeny Andriyash

26 total papers · 734 total citations
10 papers, 136 citations indexed

About

Evgeny Andriyash is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Evgeny Andriyash has authored 10 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Nuclear and High Energy Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Evgeny Andriyash's work include Generative Adversarial Networks and Image Synthesis (3 papers), Particle physics theoretical and experimental studies (3 papers) and Quantum Computing Algorithms and Architecture (2 papers). Evgeny Andriyash is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Particle physics theoretical and experimental studies (3 papers) and Quantum Computing Algorithms and Architecture (2 papers). Evgeny Andriyash collaborates with scholars based in United States, Belgium and Canada. Evgeny Andriyash's co-authors include Daniel L. Jafferis, Frederik Denef, Gregory W. Moore, M. H. S. Amin, M. I. Vysotsky, Grigory Ovanesyan, Lorenzo Buffoni, Roger G. Melko, Arash Vahdat and Andrew D. King and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and Physical review. A.

In The Last Decade

Evgeny Andriyash

10 papers receiving 126 citations

Author Peers

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

Author						Papers	Cites
Evgeny Andriyash	64	64	33	23	21	10	136
Giulio Salvatori	78 1.2×	116 1.8×	48 1.5×	37 1.6×	85 4.0×	9	245
A. Jahn	39 0.6×	71 1.1×	37 1.1×	12 0.5×	78 3.7×	15	167
P A M Dirac	17 0.3×	36 0.6×	36 1.1×	9 0.4×	64 3.0×	6	124
Jennifer Lin	27 0.4×	151 2.4×	55 1.7×	12 0.5×	40 1.9×	8	188
V. Ziegler	12 0.2×	107 1.7×	44 1.3×	9 0.4×	32 1.5×	7	192
Olaf Müller	39 0.6×	39 0.6×	30 0.9×	19 0.8×	24 1.1×	19	153
Selomit Ramírez-Uribe	22 0.3×	57 0.9×	17 0.5×	4 0.2×	23 1.1×	9	90
Abdelmalek Abdesselam	7 0.1×	41 0.6×	47 1.4×	52 2.3×	21 1.0×	21	136
Vitaly Magerya	18 0.3×	111 1.7×	12 0.4×	12 0.5×	6 0.3×	6	147
Félix Driencourt-Mangin	32 0.5×	209 3.3×	58 1.8×	3 0.1×	30 1.4×	7	251

Countries citing papers authored by Evgeny Andriyash

Since Specialization

Citations

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

Fields of papers citing papers by Evgeny Andriyash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgeny Andriyash

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny Andriyash. A scholar is included among the top collaborators of Evgeny Andriyash 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 Evgeny Andriyash. Evgeny Andriyash 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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