George Prekas

849 total citations · 1 hit paper
8 papers, 633 citations indexed

About

George Prekas is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, George Prekas has authored 8 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Information Systems and 4 papers in Hardware and Architecture. Recurrent topics in George Prekas's work include Cloud Computing and Resource Management (6 papers), Parallel Computing and Optimization Techniques (4 papers) and IoT and Edge/Fog Computing (2 papers). George Prekas is often cited by papers focused on Cloud Computing and Resource Management (6 papers), Parallel Computing and Optimization Techniques (4 papers) and IoT and Edge/Fog Computing (2 papers). George Prekas collaborates with scholars based in Switzerland, United States and Germany. George Prekas's co-authors include Edouard Bugnion, Christos Kozyrakis, Adam Belay, Marios Kogias, Ana Klimovic, Ivo Große, Artemis G. Hatzigeorgiou, Theodore Dalamagas, Thanasis Vergoulis and Timos Sellis and has published in prestigious journals such as Nucleic Acids Research, ACM Transactions on Computer Systems and Operating Systems Design and Implementation.

In The Last Decade

George Prekas

8 papers receiving 608 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

IX: a protected dataplane operating system for high throughput and low latency

2014 237 citations Adam Belay, George Prekas et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George Prekas Switzerland	7	477	351	224	99	92	8	633
Myungjin Lee South Korea	10	412 0.9×	331 0.9×	37 0.2×	32 0.3×	15 0.2×	30	551
Prashant Pandey United States	16	657 1.4×	382 1.1×	136 0.6×	183 1.8×	10 0.1×	46	923
Eric Roman United States	8	316 0.7×	182 0.5×	132 0.6×	38 0.4×	9 0.1×	18	400
Guillaume Mercier France	10	315 0.7×	77 0.2×	294 1.3×	72 0.7×	14 0.2×	20	448
Rashid Al‐Ali Qatar	10	243 0.5×	169 0.5×	59 0.3×	58 0.6×	8 0.1×	19	386
Maurício Tsugawa United States	10	689 1.4×	644 1.8×	92 0.4×	92 0.9×	3 0.0×	33	881
Raphaël Bolze France	5	193 0.4×	103 0.3×	65 0.3×	68 0.7×	8 0.1×	8	311
Jérémie Decouchant Netherlands	9	184 0.4×	169 0.5×	60 0.3×	9 0.1×	12 0.1×	34	302
Michael Chow Canada	9	300 0.6×	206 0.6×	49 0.2×	21 0.2×	8 0.1×	13	448

Countries citing papers authored by George Prekas

Since Specialization

Citations

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

Fields of papers citing papers by George Prekas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Prekas

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

All Works

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8 of 8 papers shown

1.

Kogias, Marios, et al.. (2019). R2P2: making RPCs first-class datacenter citizens. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 863–879. 12 indexed citations

2.

Prekas, George, Marios Kogias, & Edouard Bugnion. (2017). ZygOS. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 325–341. 138 indexed citations

3.

Zhang, Yunqi, et al.. (2016). History-based harvesting of spare cycles and storage in large-scale datacenters. Operating Systems Design and Implementation. 755–770. 48 indexed citations

4.

Belay, Adam, et al.. (2016). The IX Operating System. ACM Transactions on Computer Systems. 34(4). 1–39. 36 indexed citations

5.

Prekas, George, et al.. (2015). Energy proportionality and workload consolidation for latency-critical applications. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 342–355. 48 indexed citations

6.

Belay, Adam, et al.. (2014). IX: a protected dataplane operating system for high throughput and low latency. 49–65. 237 indexed citations breakdown →

7.

Alexiou, Panagiotis, Thanasis Vergoulis, George Prekas, et al.. (2009). miRGen 2.0: a database of microRNA genomic information and regulation. Nucleic Acids Research. 38(suppl_1). D137–D141. 112 indexed citations

8.

Rangoussi, Maria, et al.. (2007). Performance Of Laboratory Experiments Over The Internet: Towards An Intelligent Tutoring System On Automatic Control. Zenodo (CERN European Organization for Nuclear Research). 1(2). 366–369. 2 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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