Leonidas Kosmidis

1.9k total citations
84 papers, 986 citations indexed

About

Leonidas Kosmidis is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Leonidas Kosmidis has authored 84 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Hardware and Architecture, 21 papers in Electrical and Electronic Engineering and 15 papers in Computer Networks and Communications. Recurrent topics in Leonidas Kosmidis's work include Real-Time Systems Scheduling (54 papers), Parallel Computing and Optimization Techniques (47 papers) and Embedded Systems Design Techniques (39 papers). Leonidas Kosmidis is often cited by papers focused on Real-Time Systems Scheduling (54 papers), Parallel Computing and Optimization Techniques (47 papers) and Embedded Systems Design Techniques (39 papers). Leonidas Kosmidis collaborates with scholars based in Spain, France and Italy. Leonidas Kosmidis's co-authors include Jaume Abella, Francisco J. Cazorla, Eduardo Quiñones, Carles Hernández, Enrico Mezzetti, Tullio Vardanega, Emery D. Berger, Franck Wartel, Guillem Bernat and Marc Solé and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Computers and IEEE Micro.

In The Last Decade

Leonidas Kosmidis

79 papers receiving 965 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonidas Kosmidis Spain 19 757 279 264 111 109 84 986
Renato Mancuso United States 18 744 1.0× 482 1.7× 147 0.6× 68 0.6× 56 0.5× 70 1.1k
Dionisio de Niz United States 19 988 1.3× 643 2.3× 87 0.3× 73 0.7× 218 2.0× 57 1.2k
Doran Wilde United States 10 252 0.3× 155 0.6× 51 0.2× 66 0.6× 99 0.9× 33 460
Eduardo Quiñones Spain 24 1.7k 2.2× 831 3.0× 240 0.9× 96 0.9× 188 1.7× 102 1.8k
Eliane Martins Brazil 15 285 0.4× 334 1.2× 405 1.5× 62 0.6× 51 0.5× 70 961
Arne Hamann Germany 18 893 1.2× 455 1.6× 80 0.3× 87 0.8× 304 2.8× 60 1.2k
Danbing Seto United States 10 394 0.5× 215 0.8× 76 0.3× 529 4.8× 324 3.0× 18 960
Guy Bois Canada 11 315 0.4× 124 0.4× 293 1.1× 30 0.3× 114 1.0× 80 568
Jaynarayan H. Lala United States 11 351 0.5× 406 1.5× 188 0.7× 73 0.7× 82 0.8× 42 633

Countries citing papers authored by Leonidas Kosmidis

Since Specialization
Citations

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

Fields of papers citing papers by Leonidas Kosmidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonidas Kosmidis

This figure shows the co-authorship network connecting the top 25 collaborators of Leonidas Kosmidis. A scholar is included among the top collaborators of Leonidas Kosmidis 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 Leonidas Kosmidis. Leonidas Kosmidis 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.
Kosmidis, Leonidas, et al.. (2024). The METASAT Modelling and Code Generation Toolchain for XtratuM and Hardware Accelerators. Zenodo (CERN European Organization for Nuclear Research). 612–619.
2.
Kosmidis, Leonidas, et al.. (2024). Towards a Qualifiable Space Cloud Approach. QRU Quaderns de Recerca en Urbanisme. 109–114.
3.
4.
Kosmidis, Leonidas, et al.. (2024). Proton Evaluation of Single Event Effects in the NVIDIA GPU Orin SoM: Understanding Radiation Vulnerabilities Beyond the SoC. QRU Quaderns de Recerca en Urbanisme. 1–7. 2 indexed citations
5.
Kosmidis, Leonidas, et al.. (2022). Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time Systems. ACM Transactions on Embedded Computing Systems. 22(2). 1–26. 4 indexed citations
6.
Pérez, Jon, et al.. (2022). GPU Devices for Safety-Critical Systems: A Survey. ACM Computing Surveys. 55(7). 1–37. 21 indexed citations
7.
Kosmidis, Leonidas, et al.. (2022). Contention Tracking in GPU Last-Level Cache. UPCommons institutional repository (Universitat Politècnica de Catalunya). 76–79. 2 indexed citations
8.
Kosmidis, Leonidas, et al.. (2022). On the MC/DC Code Coverage of Vulkan SC GPU Code. QRU Quaderns de Recerca en Urbanisme. 1–9. 1 indexed citations
9.
Poggi, Tomaso, et al.. (2021). Safe and secure software updates on high-performance mixed-criticality systems: The UP2DATE approach. Microprocessors and Microsystems. 87. 104351–104351. 3 indexed citations
10.
Kosmidis, Leonidas, et al.. (2021). DO-178C Certification of General-Purpose GPU Software: Review of Existing Methods and Future Directions. QRU Quaderns de Recerca en Urbanisme. 1–9. 2 indexed citations
11.
Kosmidis, Leonidas, et al.. (2020). GMAI. ACM Transactions on Embedded Computing Systems. 19(5). 1–23. 5 indexed citations
12.
Kosmidis, Leonidas, et al.. (2020). On the Use of Probabilistic Worst-Case Execution Time Estimation for Parallel Applications in High Performance Systems. Mathematics. 8(3). 314–314. 3 indexed citations
13.
Kosmidis, Leonidas, et al.. (2019). Generating and Exploiting Deep Learning Variants to Increase Heterogeneous Resource Utilization in the NVIDIA Xavier. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 22 indexed citations
14.
Mezzetti, Enrico, Leonidas Kosmidis, Jaume Abella, & Francisco J. Cazorla. (2018). High-Integrity Performance Monitoring Units in Automotive Chips for Reliable Timing V&V. IEEE Micro. 38(1). 56–65. 15 indexed citations
15.
Kosmidis, Leonidas, et al.. (2018). Industrial experiences with resource management under software randomization in ARINC653 avionics environments. QRU Quaderns de Recerca en Urbanisme. 1–7. 2 indexed citations
16.
Kosmidis, Leonidas, et al.. (2017). Optimisation opportunities and evaluation for GPGPU applications on low-end mobile GPUs. QRU Quaderns de Recerca en Urbanisme. 950–953. 10 indexed citations
17.
Kosmidis, Leonidas, Charlie Curtsinger, Eduardo Quiñones, et al.. (2013). Probabilistic timing analysis on conventional cache designs. Design, Automation, and Test in Europe. 603–606. 33 indexed citations
18.
Kosmidis, Leonidas, Jaume Abella, Eduardo Quiñones, & Francisco J. Cazorla. (2013). A cache design for probabilistically analysable real-time systems. Design, Automation, and Test in Europe. 513–518. 59 indexed citations
19.
Kosmidis, Leonidas, Eduardo Quiñones, Jaume Abella, Tullio Vardanega, & Francisco J. Cazorla. (2013). Achieving timing composability with measurement-based probabilistic timing analysis. QRU Quaderns de Recerca en Urbanisme. 8. 1–8. 12 indexed citations
20.
Kosmidis, Leonidas, Tullio Vardanega, Jaume Abella, Eduardo Quiñones, & Francisco J. Cazorla. (2013). Applying Measurement-Based Probabilistic Timing Analysis to Buffer Resources. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 30. 97–108. 9 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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