Amina Guermouche

425 total citations
10 papers, 60 citations indexed

About

Amina Guermouche is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Amina Guermouche has authored 10 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 5 papers in Hardware and Architecture and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Amina Guermouche's work include Parallel Computing and Optimization Techniques (5 papers), Distributed systems and fault tolerance (5 papers) and Software System Performance and Reliability (3 papers). Amina Guermouche is often cited by papers focused on Parallel Computing and Optimization Techniques (5 papers), Distributed systems and fault tolerance (5 papers) and Software System Performance and Reliability (3 papers). Amina Guermouche collaborates with scholars based in France, United States and United Kingdom. Amina Guermouche's co-authors include Thomas Hérault, Jack Dongarra, Aurélien Bouteiller, Yves Robert, George Bosilca, Franck Cappello, Anne‐Cécile Orgerie, Frédéric Vivien, François Trahay and Pierre Sens and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, The International Journal of High Performance Computing Applications and Concurrency and Computation Practice and Experience.

In The Last Decade

Amina Guermouche

9 papers receiving 57 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amina Guermouche France	4	43	32	16	13	10	10	60
M. Michelotto Italy	6	49 1.1×	24 0.8×	8 0.5×	14 1.1×	4 0.4×	13	67
Anh Tu Nguyen Vietnam	4	28 0.7×	35 1.1×	9 0.6×	11 0.8×	10 1.0×	7	55
Jim Schaad	3	37 0.9×	11 0.3×	12 0.8×	11 0.8×	18 1.8×	3	58
J Keasler United States	4	70 1.6×	53 1.7×	7 0.4×	16 1.2×	5 0.5×	4	77
P. Crumley United States	5	65 1.5×	54 1.7×	28 1.8×	22 1.7×	3 0.3×	11	90
Liu Tang China	5	74 1.7×	31 1.0×	5 0.3×	32 2.5×	8 0.8×	8	79
R. Bellofatto United States	6	60 1.4×	78 2.4×	42 2.6×	9 0.7×	3 0.3×	8	103
Verónica Melesse Vergara United States	6	56 1.3×	36 1.1×	6 0.4×	28 2.2×	2 0.2×	16	78
T.S. Woodall United States	5	71 1.7×	54 1.7×	7 0.4×	16 1.2×	3 0.3×	5	78
Matthias Jurenz Germany	3	51 1.2×	36 1.1×	5 0.3×	18 1.4×	3 0.3×	3	57

Countries citing papers authored by Amina Guermouche

Since Specialization

Citations

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

Fields of papers citing papers by Amina Guermouche

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amina Guermouche

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

All Works

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10 of 10 papers shown

Barthou, Denis, et al.. (2024). Performance Portability of Generated Cardiac Simulation Kernels Through Automatic Dimensioning and Load Balancing on Heterogeneous Nodes. SPIRE - Sciences Po Institutional REpository. 1006–1015.

Guermouche, Amina, et al.. (2022). "A comparison of multithreading, vectorization, and GPU computing for the acceleration of cardiac electrophysiology models". Computing in cardiology. 3 indexed citations

Guermouche, Amina. (2022). Combining Uncore Frequency and Dynamic Power Capping to Improve Power Savings. 1028–1037. 2 indexed citations

Guermouche, Amina & Anne‐Cécile Orgerie. (2021). Thermal design power and vectorized instructions behavior. Concurrency and Computation Practice and Experience. 34(2). 5 indexed citations

Guermouche, Amina, et al.. (2021). duf: Dynamic uncore frequency scaling to reduce power consumption. Concurrency and Computation Practice and Experience. 34(3). 8 indexed citations

Trahay, François, et al.. (2019). Using Differential Execution Analysis to Identify Thread Interference. IEEE Transactions on Parallel and Distributed Systems. 30(12). 2866–2878. 3 indexed citations

Bosilca, George, Aurélien Bouteiller, Amina Guermouche, et al.. (2017). A failure detector for HPC platforms. The International Journal of High Performance Computing Applications. 32(1). 139–158. 7 indexed citations

Bosilca, George, Aurélien Bouteiller, Amina Guermouche, et al.. (2016). Failure Detection and Propagation in HPC systems. HAL (Le Centre pour la Communication Scientifique Directe). 312–322. 2 indexed citations

Bosilca, George, Aurélien Bouteiller, Franck Cappello, et al.. (2013). Unified model for assessing checkpointing protocols at extreme‐scale. Concurrency and Computation Practice and Experience. 26(17). 2772–2791. 27 indexed citations

10.

Bosilca, George, Aurélien Bouteiller, Franck Cappello, et al.. (2012). Unified Model for Assessing Checkpointing Protocols at Extreme-Scale. SPIRE - Sciences Po Institutional REpository. 3 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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