Manolis Kaliorakis

496 total citations
23 papers, 335 citations indexed

About

Manolis Kaliorakis is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Software. According to data from OpenAlex, Manolis Kaliorakis has authored 23 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 16 papers in Hardware and Architecture and 6 papers in Software. Recurrent topics in Manolis Kaliorakis's work include Radiation Effects in Electronics (17 papers), Parallel Computing and Optimization Techniques (11 papers) and Low-power high-performance VLSI design (7 papers). Manolis Kaliorakis is often cited by papers focused on Radiation Effects in Electronics (17 papers), Parallel Computing and Optimization Techniques (11 papers) and Low-power high-performance VLSI design (7 papers). Manolis Kaliorakis collaborates with scholars based in Greece, Italy and Spain. Manolis Kaliorakis's co-authors include Dimitris Gizopoulos, Athanasios Chatzidimitriou, George N. Papadimitriou, Ramón Canal, Antonio González, Shidhartha Das, Stefano Di Carlo, Mihalis Psarakis, Alberto Bosio and Alessandro Savino and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Computer Architecture Letters and Microprocessors and Microsystems.

In The Last Decade

Manolis Kaliorakis

23 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manolis Kaliorakis Greece 12 286 215 107 46 31 23 335
José Rodrigo Azambuja Brazil 11 302 1.1× 241 1.1× 149 1.4× 51 1.1× 19 0.6× 68 408
Athanasios Chatzidimitriou Greece 15 416 1.5× 287 1.3× 152 1.4× 50 1.1× 26 0.8× 28 497
Paul Racunas United States 9 489 1.7× 375 1.7× 184 1.7× 75 1.6× 52 1.7× 13 562
J.-Carlos Baraza-Calvo Spain 12 382 1.3× 314 1.5× 56 0.5× 63 1.4× 16 0.5× 31 436
Volkmar Sieh Germany 8 174 0.6× 170 0.8× 90 0.8× 74 1.6× 15 0.5× 20 263
J. Torin Sweden 10 203 0.7× 239 1.1× 137 1.3× 91 2.0× 25 0.8× 27 344
Shahrzad Mirkhani United States 8 259 0.9× 174 0.8× 60 0.6× 46 1.0× 29 0.9× 18 280
Behrooz Sangchoolie Sweden 8 132 0.5× 53 0.2× 48 0.4× 52 1.1× 26 0.8× 23 184
V. Degalahal United States 13 529 1.8× 441 2.1× 212 2.0× 12 0.3× 19 0.6× 19 629
Dimitri Kagaris United States 11 311 1.1× 307 1.4× 41 0.4× 31 0.7× 14 0.5× 77 393

Countries citing papers authored by Manolis Kaliorakis

Since Specialization
Citations

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

Fields of papers citing papers by Manolis Kaliorakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manolis Kaliorakis

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

All Works

20 of 20 papers shown
1.
Spiliopoulos, Giannis, et al.. (2023). A Digital Twin for Maritime Situational Awareness. 1–2. 2 indexed citations
2.
Kaliorakis, Manolis, et al.. (2023). Scalable framework for AIS data exploration through effective density visualizations. Zenodo (CERN European Organization for Nuclear Research). 1–6. 1 indexed citations
3.
Kaliorakis, Manolis, Athanasios Chatzidimitriou, George N. Papadimitriou, & Dimitris Gizopoulos. (2018). Statistical Analysis of Multicore CPUs Operation in Scaled Voltage Conditions. IEEE Computer Architecture Letters. 17(2). 109–112. 14 indexed citations
4.
Savino, Alessandro, Athanasios Chatzidimitriou, Manolis Kaliorakis, et al.. (2018). SyRA: Early System Reliability Analysis for Cross-Layer Soft Errors Resilience in Memory Arrays of Microprocessor Systems. IEEE Transactions on Computers. 68(5). 765–783. 22 indexed citations
5.
Papadimitriou, George N., et al.. (2018). Micro-Viruses for Fast System-Level Voltage Margins Characterization in Multicore CPUs. 54–63. 13 indexed citations
6.
Karakonstantis, Georgios, Athanasios Chatzidimitriou, George N. Papadimitriou, et al.. (2018). Measuring and Exploiting Guardbands of Server-Grade ARMv8 CPU Cores and DRAMs. Research Portal (Queen's University Belfast). 16 indexed citations
7.
Papadimitriou, George N., et al.. (2017). Voltage margins identification on commercial x86-64 multicore microprocessors. 51–56. 20 indexed citations
8.
Kaliorakis, Manolis, Dimitris Gizopoulos, Ramón Canal, & Antonio González. (2017). MeRLiN. 241–254. 36 indexed citations
9.
Chatzidimitriou, Athanasios, et al.. (2017). Performance-aware reliability assessment of heterogeneous chips. 1–6. 10 indexed citations
10.
Papadimitriou, George N., et al.. (2017). Harnessing voltage margins for energy efficiency in multicore CPUs. Zenodo (CERN European Organization for Nuclear Research). 503–516. 49 indexed citations
11.
Kaliorakis, Manolis, Dimitris Gizopoulos, Ramón Canal, & Antonio González. (2017). MeRLiN. ACM SIGARCH Computer Architecture News. 45(2). 241–254. 4 indexed citations
12.
Savino, Alessandro, Gianfranco Politano, Stefano Di Carlo, et al.. (2016). Cross-layer system reliability assessment framework for hardware faults. HAL (Le Centre pour la Communication Scientifique Directe). 1–10. 19 indexed citations
13.
Savino, Alessandro, Gianfranco Politano, Manolis Kaliorakis, et al.. (2016). Early Component-Based System Reliability Analysis for Approximate Computing Systems. 1–4. 1 indexed citations
14.
Kaliorakis, Manolis, et al.. (2016). Microprocessor reliability-performance tradeoffs assessment at the microarchitecture level. 17. 1–6. 2 indexed citations
15.
Savino, Alessandro, et al.. (2015). Bayesian network early reliability evaluation analysis for both permanent and transient faults. 40. 7–12. 1 indexed citations
16.
Kaliorakis, Manolis, Alessandro Savino, Gianfranco Politano, et al.. (2015). Cross-layer reliability evaluation, moving from the hardware architecture to the system level: A CLERECO EU project overview. Microprocessors and Microsystems. 39(8). 1204–1214. 9 indexed citations
17.
Savino, Alessandro, et al.. (2015). A Bayesian model for system level reliability estimation. 1–2. 1 indexed citations
18.
Kaliorakis, Manolis, et al.. (2014). Versatile architecture-level fault injection framework for reliability evaluation: A first report. 17. 140–145. 8 indexed citations
19.
Kaliorakis, Manolis, et al.. (2014). Accelerated online error detection in many-core microprocessor architectures. 1–6. 16 indexed citations
20.
Kaliorakis, Manolis, et al.. (2013). Online error detection in multiprocessor chips: A test scheduling study. 6. 169–172. 4 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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