Christina Giannoula

623 total citations
21 papers, 235 citations indexed

About

Christina Giannoula is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Christina Giannoula has authored 21 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hardware and Architecture, 10 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Christina Giannoula's work include Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (8 papers) and Interconnection Networks and Systems (6 papers). Christina Giannoula is often cited by papers focused on Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (8 papers) and Interconnection Networks and Systems (6 papers). Christina Giannoula collaborates with scholars based in Greece, Canada and Switzerland. Christina Giannoula's co-authors include Juan Gómez-Luna, Onur Mutlu, Ivan Fernandez, Izzat El Hajj, Nectarios Koziris, Geraldo F. Oliveira, Georgios Goumas, Mohammed Alser, Zeshan Chishti and Nandita Vijaykumar and has published in prestigious journals such as IEEE Access, ACM SIGMETRICS Performance Evaluation Review and The Journal of Supercomputing.

In The Last Decade

Christina Giannoula

17 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Giannoula Greece 6 130 109 99 47 31 21 235
Geraldo F. Oliveira Switzerland 13 218 1.7× 207 1.9× 208 2.1× 76 1.6× 44 1.4× 23 411
Christophe Wolinski France 11 225 1.7× 188 1.7× 74 0.7× 38 0.8× 40 1.3× 42 320
Vinh Lam United States 8 155 1.2× 160 1.5× 84 0.8× 38 0.8× 21 0.7× 13 228
Naif Tarafdar Canada 8 168 1.3× 165 1.5× 78 0.8× 62 1.3× 29 0.9× 12 258
Rainer Buchty Germany 11 169 1.3× 112 1.0× 86 0.9× 49 1.0× 37 1.2× 36 264
Behnam Robatmili United States 9 210 1.6× 170 1.6× 47 0.5× 46 1.0× 18 0.6× 31 251
Tiago Mück United States 9 212 1.6× 168 1.5× 75 0.8× 43 0.9× 22 0.7× 32 283
Ann Gordon-Ross United States 10 215 1.7× 191 1.8× 116 1.2× 33 0.7× 8 0.3× 27 315
Pengcheng Yao China 11 97 0.7× 86 0.8× 74 0.7× 110 2.3× 165 5.3× 25 273
Adrià Armejach Spain 9 220 1.7× 202 1.9× 61 0.6× 31 0.7× 21 0.7× 38 286

Countries citing papers authored by Christina Giannoula

Since Specialization
Citations

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

Fields of papers citing papers by Christina Giannoula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Giannoula

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Giannoula. A scholar is included among the top collaborators of Christina Giannoula 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 Christina Giannoula. Christina Giannoula 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.
Mao, Haiyu, Christina Giannoula, Mohammad Sadrosadati, et al.. (2025). PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System. 766–782. 3 indexed citations
2.
Giannoula, Christina, et al.. (2025). Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization. ArXiv.org. 1298–1316. 1 indexed citations
4.
Giannoula, Christina, Ivan Fernandez, Jiacheng Yang, et al.. (2025). PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures. ACM SIGMETRICS Performance Evaluation Review. 53(1). 154–156.
5.
Giannoula, Christina, et al.. (2024). Marple: Scalable Spike Sorting for Untethered Brain-Machine Interfacing. 666–682. 1 indexed citations
6.
Lascorz, Alberto Delmás, et al.. (2024). Atalanta: A Bit is Worth a “Thousand” Tensor Values. 85–102. 4 indexed citations
7.
Yang, Jiacheng, et al.. (2024). Minuet: Accelerating 3D Sparse Convolutions on GPUs. 786–802.
8.
Giannoula, Christina, Ivan Fernandez, Jiacheng Yang, et al.. (2024). PyGim : An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 8(3). 1–36. 1 indexed citations
10.
Giannoula, Christina, et al.. (2023). Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. 5–6. 1 indexed citations
11.
Giannoula, Christina, et al.. (2023). DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 7(1). 1–36. 10 indexed citations
12.
Giannoula, Christina, Ivan Fernandez, Juan Gómez-Luna, et al.. (2022). SparseP: Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures. 288–291. 8 indexed citations
13.
Giannoula, Christina, Ivan Fernandez, Juan Gómez-Luna, et al.. (2022). SparseP. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 6(1). 1–49. 49 indexed citations
14.
Gómez-Luna, Juan, Izzat El Hajj, Ivan Fernandez, et al.. (2022). Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System. IEEE Access. 10. 52565–52608. 89 indexed citations
15.
Fernandez, Ivan, Christina Giannoula, Mohammed Alser, et al.. (2022). Exploiting Near-Data Processing to Accelerate Time Series Analysis. 106. 279–282. 1 indexed citations
16.
Giannoula, Christina, Ivan Fernandez, Juan Gómez-Luna, et al.. (2022). Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures. ACM SIGMETRICS Performance Evaluation Review. 50(1). 33–34. 15 indexed citations
17.
Giannoula, Christina, Athanasios Peppas, Georgios Goumas, & Nectarios Koziris. (2022). High-performance and balanced parallel graph coloring on multicore platforms. The Journal of Supercomputing. 79(6). 6373–6421. 1 indexed citations
18.
Giannoula, Christina, Ivan Fernandez, Juan Gómez-Luna, et al.. (2022). Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures. 33–34. 4 indexed citations
19.
Fernandez, Ivan, et al.. (2020). NATSA: A Near-Data Processing Accelerator for Time Series Analysis.. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 39 indexed citations
20.
Giannoula, Christina, et al.. (2019). An adaptive concurrent priority queue for NUMA architectures. 135–144. 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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