Ricardo Bianchini

11.6k total citations · 4 hit papers
200 papers, 7.6k citations indexed

About

Ricardo Bianchini is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Ricardo Bianchini has authored 200 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Computer Networks and Communications, 125 papers in Information Systems and 84 papers in Hardware and Architecture. Recurrent topics in Ricardo Bianchini's work include Cloud Computing and Resource Management (115 papers), Advanced Data Storage Technologies (93 papers) and Parallel Computing and Optimization Techniques (82 papers). Ricardo Bianchini is often cited by papers focused on Cloud Computing and Resource Management (115 papers), Advanced Data Storage Technologies (93 papers) and Parallel Computing and Optimization Techniques (82 papers). Ricardo Bianchini collaborates with scholars based in United States, Brazil and United Kingdom. Ricardo Bianchini's co-authors include Eduardo Pinheiro, Thu D. Nguyen, Enrique V. Carrera, Íñigo Goiri, Kien Le, Taliver Heath, Ram Rajamony, Luiz Ramos, Eugene Gorbatov and Marcus Fontoura and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and ACM Transactions on Graphics.

In The Last Decade

Ricardo Bianchini

189 papers receiving 7.2k 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.

Resource Central

2017 402 citations Eli Cortez, Mark Russinovich et al. profile →
Page placement in hybrid memory systems

2011 310 citations Ricardo Bianchini et al. profile →
Pond: CXL-Based Memory Pooling Systems for Cloud Platforms

2023 140 citations Daniel S. Berger, Stanko Novaković et al. profile →
Splitwise: Efficient Generative LLM Inference Using Phase Splitting

2024 67 citations Pratyush Patel, Esha Choukse et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ricardo Bianchini United States	44	6.4k	4.9k	3.0k	1.3k	607	200	7.6k
Luiz André Barroso United States	32	9.8k 1.5×	7.3k 1.5×	3.9k 1.3×	2.0k 1.6×	918 1.5×	60	11.5k
Lieven Eeckhout Belgium	44	5.3k 0.8×	2.1k 0.4×	6.0k 2.0×	1.8k 1.4×	766 1.3×	317	7.5k
Urs Hölzle United States	31	7.2k 1.1×	4.8k 1.0×	2.5k 0.8×	2.2k 1.7×	1.7k 2.8×	65	9.3k
Lizy K. John United States	40	3.4k 0.5×	1.4k 0.3×	4.0k 1.3×	1.8k 1.4×	484 0.8×	295	5.4k
Robbert van Renesse United States	38	5.4k 0.8×	1.6k 0.3×	1.1k 0.4×	399 0.3×	1.1k 1.8×	166	6.0k
Pascal Felber Switzerland	31	4.9k 0.8×	1.5k 0.3×	1.2k 0.4×	485 0.4×	1.0k 1.7×	195	5.7k
Bhuvan Urgaonkar United States	34	4.8k 0.8×	3.5k 0.7×	1.2k 0.4×	903 0.7×	466 0.8×	118	5.5k
Ian Pratt United Kingdom	25	8.0k 1.2×	6.4k 1.3×	2.4k 0.8×	887 0.7×	1.7k 2.8×	59	9.2k
Daniel Mossé United States	38	3.3k 0.5×	934 0.2×	3.5k 1.2×	1.2k 0.9×	306 0.5×	226	5.2k
Jason Flinn United States	40	4.4k 0.7×	1.8k 0.4×	1.5k 0.5×	1.6k 1.3×	630 1.0×	106	5.4k

Countries citing papers authored by Ricardo Bianchini

Since Specialization

Citations

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

Fields of papers citing papers by Ricardo Bianchini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Bianchini

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Jue, C. Bansal, Eli Cortez, et al.. (2025). Workload Intelligence: Workload-Aware IaaS abstraction for Cloud Efficiency. 2203–2215.

2.

Goiri, Íñigo, et al.. (2025). TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms. 1266–1281. 3 indexed citations

3.

Patel, Pratyush, et al.. (2024). Splitwise: Efficient Generative LLM Inference Using Phase Splitting. 118–132. 67 indexed citations breakdown →

4.

Berger, Daniel S., Fiodar Kazhamiaka, Chaojie Zhang, et al.. (2024). Designing Cloud Servers for Lower Carbon. 452–470. 13 indexed citations

5.

Goiri, Íñigo, Esha Choukse, Mayukh Das, et al.. (2024). SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud. 437–451. 3 indexed citations

6.

Bianchini, Ricardo, Christian Belady, & Anand Sivasubramaniam. (2024). Data Center Power and Energy Management: Past, Present, and Future. IEEE Micro. 44(5). 30–36. 3 indexed citations

7.

Shahrad, Mohammad, Rodrigo Fonseca, Íñigo Goiri, et al.. (2020). Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider. arXiv (Cornell University). 205–218. 12 indexed citations

8.

Goiri, Íñigo, et al.. (2017). Scaling distributed file systems in resource-harvesting datacenters. USENIX Annual Technical Conference. 799–811. 4 indexed citations

9.

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

10.

Goiri, Íñigo, et al.. (2015). CoolProvision. 356–367. 27 indexed citations

11.

Novaković, Dejan, Nedeljko Vasić, Stanko Novaković, Dejan Kostić, & Ricardo Bianchini. (2013). DeepDive: transparently identifying and managing performance interference in virtualized environments. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 219–230. 168 indexed citations

12.

Bianchini, Ricardo & Prabal Dutta. (2011). Proceedings of the 4th Workshop on Power-Aware Computing and Systems. 1 indexed citations

13.

Heath, Taliver, et al.. (2006). Mercury and freon. 106–116. 158 indexed citations

14.

Nagaraja, Kiran, et al.. (2006). Understanding and validating database system administration. USENIX Annual Technical Conference. 19–19. 24 indexed citations

15.

Bianchini, Ricardo, et al.. (2005). Human-aware computer system design. 13–13. 3 indexed citations

16.

Nagaraja, Kiran, et al.. (2004). Understanding and dealing with operator mistakes in internet services. Operating Systems Design and Implementation. 5–5. 76 indexed citations

17.

Nagaraja, Kiran, Xiaoyan Li, Ricardo Bianchini, Richard P. Martin, & Thu D. Nguyen. (2003). Using fault injection and modeling to evaluate the performability of cluster-based services. 2–2. 21 indexed citations

18.

Heath, Taliver, et al.. (2002). Application transformations for energy and performance-aware device management. International Conference on Parallel Architectures and Compilation Techniques. 121–130. 50 indexed citations

19.

Santos, Rodrigo Weber dos, Ricardo Bianchini, & Cláudio L. Amorim. (2001). A survey of messaging software issues and systems for Myrinet-based clusters. Cluster Computing. 133–146. 7 indexed citations

20.

Santos, Rodrigo Weber dos, Ricardo Bianchini, & Cláudio L. Amorim. (1999). A Survey of Messaging Software Issues and Systems for Myrinet-Based. Scalable Computing Practice and Experience. 2(2). 1 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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