Yanos Sazeides

632 total citations
14 papers, 421 citations indexed

About

Yanos Sazeides is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Yanos Sazeides has authored 14 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hardware and Architecture, 9 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Yanos Sazeides's work include Parallel Computing and Optimization Techniques (12 papers), Low-power high-performance VLSI design (6 papers) and Advanced Data Storage Technologies (6 papers). Yanos Sazeides is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Low-power high-performance VLSI design (6 papers) and Advanced Data Storage Technologies (6 papers). Yanos Sazeides collaborates with scholars based in Cyprus, United States and Spain. Yanos Sazeides's co-authors include James E. Smith, Quinn Jacobson, Eric Rotenberg, Venkata Krishnan, André Seznec, S. Vassiliadis, Juan Trujillo, Francisco J. Cazorla, Dean M. Tullsen and Jaume Abella and has published in prestigious journals such as IEEE Computer Architecture Letters, Ghent University Academic Bibliography (Ghent University) and QRU Quaderns de Recerca en Urbanisme.

In The Last Decade

Yanos Sazeides

14 papers receiving 409 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yanos Sazeides Cyprus 8 383 300 156 49 43 14 421
Eric Borch United States 5 336 0.9× 289 1.0× 137 0.9× 40 0.8× 27 0.6× 6 384
John H. Kelm United States 10 347 0.9× 322 1.1× 95 0.6× 32 0.7× 23 0.5× 20 378
Mojtaba Mehrara United States 12 357 0.9× 324 1.1× 91 0.6× 39 0.8× 69 1.6× 18 421
Rabin A. Sugumar United States 9 402 1.0× 342 1.1× 69 0.4× 67 1.4× 29 0.7× 12 417
Björn Döbel Germany 7 211 0.6× 184 0.6× 142 0.9× 82 1.7× 30 0.7× 14 292
Jeremy Lau United States 9 337 0.9× 261 0.9× 104 0.7× 94 1.9× 69 1.6× 11 397
Byoungro So United States 10 397 1.0× 305 1.0× 100 0.6× 35 0.7× 29 0.7× 15 433
Pedro Marcuello Spain 11 579 1.5× 517 1.7× 66 0.4× 50 1.0× 35 0.8× 23 610
Yuan Chou United States 9 486 1.3× 405 1.4× 177 1.1× 61 1.2× 28 0.7× 11 525
John Seng United States 8 201 0.5× 132 0.4× 82 0.5× 36 0.7× 27 0.6× 17 232

Countries citing papers authored by Yanos Sazeides

Since Specialization
Citations

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

Fields of papers citing papers by Yanos Sazeides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanos Sazeides

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

All Works

14 of 14 papers shown
2.
Sazeides, Yanos, et al.. (2020). Techniques for Reducing the Connected-Standby Energy Consumption of Mobile Devices. 10 indexed citations
3.
Sazeides, Yanos, et al.. (2015). Characterization and analysis of a web search benchmark. 8 3. 328–337. 3 indexed citations
4.
Abella, Jaume, Eduardo Quiñones, Francisco J. Cazorla, Mateo Valero, & Yanos Sazeides. (2011). RVC-based time-predictable faulty caches for safety-critical systems. 25–30. 7 indexed citations
5.
Abella, Jaume, Eduardo Quiñones, Francisco J. Cazorla, Yanos Sazeides, & Mateo Valero. (2011). RVC. QRU Quaderns de Recerca en Urbanisme. 97–106. 11 indexed citations
6.
Sazeides, Yanos, et al.. (2007). Performance Implications of Hard-Faults in Non-Architectural Structures. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
7.
Sazeides, Yanos, et al.. (2005). Correct Alignment of a Return-Address-Stack after Call and Return Mispredictions. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
8.
Sazeides, Yanos, et al.. (2005). The Danger of Interval-Based Power Efficiency Metrics: When Worst Is Best. IEEE Computer Architecture Letters. 4(1). 1–1. 15 indexed citations
9.
Sazeides, Yanos & Juan Trujillo. (2005). How to compare the performance of two SMT microarchitectures. 180–183. 13 indexed citations
10.
Sazeides, Yanos. (2004). Modeling value speculation. 211–222. 6 indexed citations
11.
Seznec, André, et al.. (2003). Design tradeoffs for the alpha EV8 conditional branch predictor. 295–306. 65 indexed citations
12.
Sazeides, Yanos & James E. Smith. (2002). The predictability of data values. 248–258. 149 indexed citations
13.
Sazeides, Yanos, S. Vassiliadis, & James E. Smith. (2002). The performance potential of data dependence speculation and collapsing. 238–247. 24 indexed citations
14.
Rotenberg, Eric, Quinn Jacobson, Yanos Sazeides, & James E. Smith. (2002). Trace processors. 138–148. 110 indexed citations

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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