Íñigo Goiri

4.0k total citations · 2 hit papers
68 papers, 2.5k citations indexed

About

Íñigo Goiri is a scholar working on Information Systems, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Íñigo Goiri has authored 68 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Information Systems, 57 papers in Computer Networks and Communications and 18 papers in Hardware and Architecture. Recurrent topics in Íñigo Goiri's work include Cloud Computing and Resource Management (57 papers), IoT and Edge/Fog Computing (24 papers) and Advanced Data Storage Technologies (18 papers). Íñigo Goiri is often cited by papers focused on Cloud Computing and Resource Management (57 papers), IoT and Edge/Fog Computing (24 papers) and Advanced Data Storage Technologies (18 papers). Íñigo Goiri collaborates with scholars based in United States, Spain and United Kingdom. Íñigo Goiri's co-authors include Ricardo Bianchini, Jordi Torres, Jordi Guitart, Thu D. Nguyen, Kien Le, Ferran Julià, Josep Ll. Berral, Ramón Nou, Ricard Gavaldà and Santosh Nagarakatte and has published in prestigious journals such as Future Generation Computer Systems, ACM SIGPLAN Notices and Journal of Parallel and Distributed Computing.

In The Last Decade

Íñigo Goiri

67 papers receiving 2.4k 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.

Splitwise: Efficient Generative LLM Inference Using Phase Splitting

2024 67 citations Pratyush Patel, Esha Choukse et al. profile →
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency

2025 17 citations Íñigo Goiri, Josep Torrellas et al. profile →

Peers

Íñigo Goiri

CNC

IS

EEE

HA

AI

Jordi Guitart Spain

Jeff Chase United States

Thu D. Nguyen United States

Daniel Gmach United States

Anshul Gandhi United States

Umakishore Ramachandran United States

Tridib Mukherjee United States

Peter Garraghan United Kingdom

Djamel Sadok Brazil

Bahman Javadi Australia

Jordi Guitart Spain

Íñigo Goiri

1.6k ×0.8

CNC

1.7k ×0.9

IS

332 ×0.6

EEE

237 ×0.5

HA

185 ×0.8

AI

Citations per year, relative to Íñigo Goiri Íñigo Goiri (= 1×) peers Jordi Guitart

Countries citing papers authored by Íñigo Goiri

Since Specialization

Citations

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

Fields of papers citing papers by Íñigo Goiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Íñigo Goiri

This figure shows the co-authorship network connecting the top 25 collaborators of Íñigo Goiri. A scholar is included among the top collaborators of Íñigo Goiri 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 Íñigo Goiri. Íñigo Goiri 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.

Jain, Kunal, Esha Choukse, Jue Zhang, et al.. (2025). Performance Aware LLM Load Balancer for Mixed Workloads. 19–30. 1 indexed citations

4.

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

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.

Choukse, Esha, et al.. (2024). Mosaic: Harnessing the Micro-Architectural Resources of Servers in Serverless Environments. 1397–1412. 2 indexed citations

7.

Ramakrishnan, Bharath, Husam A. Alissa, Ricardo Bianchini, et al.. (2021). CPU Overclocking: A Performance Assessment of Air, Cold Plates, and Two-Phase Immersion Cooling. IEEE Transactions on Components Packaging and Manufacturing Technology. 11(10). 1703–1715. 46 indexed citations

8.

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

9.

Goiri, Íñigo, Ke Wang, Brian P. Dolan, et al.. (2020). Providing SLOs for Resource-Harvesting VMs in Cloud Platforms. 735–751. 16 indexed citations

10.

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

11.

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

12.

Jyothi, Sangeetha Abdu, Carlo Curino, Ishai Menache, et al.. (2016). Morpheus: towards automated SLOs for enterprise clusters. Operating Systems Design and Implementation. 117–134. 119 indexed citations

13.

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

14.

Nesmachnow, Sergio, Cristian Perfumo, & Íñigo Goiri. (2015). Holistic multiobjective planning of datacenters powered by renewable energy. Cluster Computing. 18(4). 1379–1397. 13 indexed citations

15.

Goiri, Íñigo, Thu D. Nguyen, & Ricardo Bianchini. (2015). CoolAir. ACM SIGPLAN Notices. 50(4). 253–265. 6 indexed citations

16.

Li, Cheng, Íñigo Goiri, Abhishek Bhattacharjee, Ricardo Bianchini, & Thu D. Nguyen. (2013). Quantifying and improving I/O predictability in virtualized systems. View. 1–6. 7 indexed citations

17.

Haque, Md. Emdadul, Kien Le, Íñigo Goiri, Ricardo Bianchini, & Thu D. Nguyen. (2013). Providing green SLAs in High Performance Computing clouds. View. 35 indexed citations

18.

Goiri, Íñigo, et al.. (2013). Parasol and GreenSwitch. 51–64. 183 indexed citations

19.

Goiri, Íñigo, Kien Le, Md. Emdadul Haque, et al.. (2011). GreenSlot. 1–11. 218 indexed citations

20.

Goiri, Íñigo, Kien Le, Jordi Guitart, Jordi Torres, & Ricardo Bianchini. (2011). Intelligent Placement of Datacenters for Internet Services. 131–142. 97 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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