Utku Aydonat

16 total papers · 717 total citations
13 papers, 464 citations indexed

About

Utku Aydonat is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Utku Aydonat has authored 13 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hardware and Architecture, 8 papers in Computer Networks and Communications and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Utku Aydonat's work include Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (9 papers) and Interconnection Networks and Systems (5 papers). Utku Aydonat is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (9 papers) and Interconnection Networks and Systems (5 papers). Utku Aydonat collaborates with scholars based in Canada, United States and Switzerland. Utku Aydonat's co-authors include Davor Capalija, Andrew C. Ling, Tarek S. Abdelrahman, John Freeman, Tomasz Czajkowski, Peter Yiannacouras, Michael Kinsner, Deshanand P. Singh, Faraydon Karim and Anh Nguyen and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems and IEEE Micro.

In The Last Decade

Utku Aydonat

12 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Utku Aydonat	283	183	178	161	77	13	464
Tom Blank	278 1.0×	224 1.2×	181 1.0×	74 0.5×	42 0.5×	16	503
Stefan Hadjis	300 1.1×	126 0.7×	198 1.1×	70 0.4×	53 0.7×	13	408
Prasanth Chatarasi	207 0.7×	214 1.2×	113 0.6×	187 1.2×	108 1.4×	14	414
Nathan Otterness	280 1.0×	92 0.5×	200 1.1×	118 0.7×	92 1.2×	16	459
Eric Qin	185 0.7×	246 1.3×	111 0.6×	144 0.9×	126 1.6×	11	448
Guoping Long	195 0.7×	78 0.4×	153 0.9×	160 1.0×	207 2.7×	30	456
Victor A. Ying	254 0.9×	299 1.6×	160 0.9×	186 1.2×	113 1.5×	9	488
Andrew Boutros	238 0.8×	272 1.5×	98 0.6×	176 1.1×	103 1.3×	29	513
Berkin Akin	265 0.9×	181 1.0×	201 1.1×	134 0.8×	55 0.7×	19	455
Hsuan Hsiao	303 1.1×	203 1.1×	175 1.0×	40 0.2×	74 1.0×	12	455

Countries citing papers authored by Utku Aydonat

Since Specialization

Citations

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

Fields of papers citing papers by Utku Aydonat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Utku Aydonat

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