Leonardo Bautista-Gomez

1.2k total citations
44 papers, 536 citations indexed

About

Leonardo Bautista-Gomez is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Leonardo Bautista-Gomez has authored 44 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 18 papers in Electrical and Electronic Engineering and 17 papers in Hardware and Architecture. Recurrent topics in Leonardo Bautista-Gomez's work include Distributed systems and fault tolerance (23 papers), Radiation Effects in Electronics (18 papers) and Advanced Data Storage Technologies (17 papers). Leonardo Bautista-Gomez is often cited by papers focused on Distributed systems and fault tolerance (23 papers), Radiation Effects in Electronics (18 papers) and Advanced Data Storage Technologies (17 papers). Leonardo Bautista-Gomez collaborates with scholars based in Spain, United States and France. Leonardo Bautista-Gomez's co-authors include Franck Cappello, Sheng Di, Osman Ünsal, Naoya Maruyama, Satoshi Matsuoka, Simon McIntosh‐Smith, Ferad Zyulkyarov, Zhiling Lan, Ana Gainaru and Paolo Rech and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Leonardo Bautista-Gomez

42 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Bautista-Gomez Spain 14 413 243 222 116 100 44 536
Sameer G. Kulkarni United States 15 499 1.2× 209 0.9× 115 0.5× 264 2.3× 99 1.0× 45 667
Teng Wang China 14 476 1.2× 177 0.7× 55 0.2× 195 1.7× 60 0.6× 41 568
Joshua Reich United States 11 970 2.3× 112 0.5× 243 1.1× 198 1.7× 138 1.4× 18 1.0k
Kushagra Vaid United States 12 580 1.4× 340 1.4× 150 0.7× 421 3.6× 42 0.4× 23 669
Eric Van Hensbergen United States 12 501 1.2× 417 1.7× 144 0.6× 284 2.4× 55 0.6× 27 642
Bryan S. Rosenburg United States 15 581 1.4× 415 1.7× 64 0.3× 298 2.6× 192 1.9× 29 684
Marc de Kruijf United States 12 323 0.8× 399 1.6× 299 1.3× 94 0.8× 74 0.7× 19 551
Yury Audzevich United Kingdom 7 553 1.3× 168 0.7× 145 0.7× 287 2.5× 66 0.7× 12 616
Heiner Litz United States 18 569 1.4× 439 1.8× 60 0.3× 278 2.4× 126 1.3× 58 711
Nikita Mishra United States 11 188 0.5× 147 0.6× 68 0.3× 114 1.0× 86 0.9× 18 302

Countries citing papers authored by Leonardo Bautista-Gomez

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Bautista-Gomez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo Bautista-Gomez. 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 Leonardo Bautista-Gomez. The network helps show where Leonardo Bautista-Gomez may publish in the future.

Co-authorship network of co-authors of Leonardo Bautista-Gomez

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Bautista-Gomez. A scholar is included among the top collaborators of Leonardo Bautista-Gomez 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 Leonardo Bautista-Gomez. Leonardo Bautista-Gomez 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.
Muñoz, José L., et al.. (2025). The impact of connectivity and software in Ethereum validator performance. Cluster Computing. 28(6). 1 indexed citations
2.
Király, Csaba, et al.. (2024). Scalability limitations of Kademlia DHTs when enabling Data Availability Sampling in Ethereum. 83–91. 1 indexed citations
3.
Bautista-Gomez, Leonardo, Anne Benoît, Sheng Di, et al.. (2024). A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly?. Future Generation Computer Systems. 161. 315–328. 3 indexed citations
4.
Ocheja, Patrick, et al.. (2024). An Analytical Study of Large Blocks on Ethereum. 120–127.
5.
Muñoz, José L., et al.. (2024). Can We Run Our Ethereum Nodes at Home?. IEEE Access. 12. 44401–44423. 1 indexed citations
6.
Muñoz, José L., et al.. (2023). Unveiling Ethereum's Hidden Centralization Incentives: Does Connectivity Impact Performance?. 89–96. 2 indexed citations
7.
Muñoz, José L., et al.. (2023). Autopsy of Ethereum's Post-Merge Reward System. QRU Quaderns de Recerca en Urbanisme. 1–9. 9 indexed citations
8.
Bautista-Gomez, Leonardo, et al.. (2021). Towards Zero-Waste Recovery and Zero-Overhead Checkpointing in Ensemble Data Assimilation. UPCommons institutional repository (Universitat Politècnica de Catalunya). 131–140.
9.
Parasyris, Konstantinos, Giorgis Georgakoudis, Leonardo Bautista-Gomez, & Ignacio Laguna. (2021). Co-Designing Multi-Level Checkpoint Restart for MPI Applications. 103–112. 2 indexed citations
10.
Bautista-Gomez, Leonardo, et al.. (2018). A machine learning workflow for hurricane prediction. QRU Quaderns de Recerca en Urbanisme. 72–73. 3 indexed citations
11.
Latham, Robert, Leonardo Bautista-Gomez, & Pavan Balaji. (2017). Portable Topology-Aware MPI-I/O. 710–719. 1 indexed citations
12.
Price, James, et al.. (2016). Software-level Fault Tolerant Framework for Task-based Applications. Explore Bristol Research. 1 indexed citations
13.
Bautista-Gomez, Leonardo, Ferad Zyulkyarov, Osman Ünsal, & Simon McIntosh‐Smith. (2016). Unprotected computing: a large-scale study of DRAM raw error rate on a supercomputer. IEEE International Conference on High Performance Computing, Data, and Analytics. 55. 24 indexed citations
14.
Di, Sheng, Leonardo Bautista-Gomez, Prasanna Balaprakash, et al.. (2016). Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. QRU Quaderns de Recerca en Urbanisme. 13 indexed citations
15.
Bautista-Gomez, Leonardo, et al.. (2014). POSTER: Energy-performance tradeoffs in multilevel checkpoint strategies. 278–279. 2 indexed citations
16.
Bautista-Gomez, Leonardo, et al.. (2014). GPGPUs: How to combine high computational power with high reliability. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–9. 13 indexed citations
17.
Bautista-Gomez, Leonardo & Franck Cappello. (2014). Detecting silent data corruption through data dynamic monitoring for scientific applications. 381–382. 18 indexed citations
18.
Bautista-Gomez, Leonardo & Franck Cappello. (2014). Detecting silent data corruption through data dynamic monitoring for scientific applications. ACM SIGPLAN Notices. 49(8). 381–382. 11 indexed citations
19.
Bautista-Gomez, Leonardo, Akira Nukada, Naoya Maruyama, Franck Cappello, & Satoshi Matsuoka. (2010). Low-overhead diskless checkpoint for hybrid computing systems. 1–10. 15 indexed citations
20.
Bautista-Gomez, Leonardo, Naoya Maruyama, Franck Cappello, & Satoshi Matsuoka. (2010). Distributed Diskless Checkpoint for Large Scale Systems. 63–72. 50 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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