Javier Navaridas

1.2k total citations
73 papers, 728 citations indexed

About

Javier Navaridas is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Javier Navaridas has authored 73 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Networks and Communications, 34 papers in Electrical and Electronic Engineering and 30 papers in Hardware and Architecture. Recurrent topics in Javier Navaridas's work include Interconnection Networks and Systems (40 papers), Parallel Computing and Optimization Techniques (30 papers) and Advanced Memory and Neural Computing (16 papers). Javier Navaridas is often cited by papers focused on Interconnection Networks and Systems (40 papers), Parallel Computing and Optimization Techniques (30 papers) and Advanced Memory and Neural Computing (16 papers). Javier Navaridas collaborates with scholars based in United Kingdom, Spain and China. Javier Navaridas's co-authors include Mikel Luján, Sebastian Werner, José Miguel-Alonso, Steve Furber, Luis A. Plana, John Goodacre, Iain A. Stewart, Wei Song, Geoffrey Ndu and Steve Temple and has published in prestigious journals such as ACM Computing Surveys, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Javier Navaridas

71 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Navaridas United Kingdom 16 402 397 227 124 79 73 728
Alexander V. Veidenbaum United States 16 315 0.8× 763 1.9× 792 3.5× 113 0.9× 122 1.5× 77 1.1k
Fei Xia United Kingdom 12 312 0.8× 340 0.9× 325 1.4× 42 0.3× 78 1.0× 102 618
Fabien Clermidy France 20 820 2.0× 522 1.3× 482 2.1× 33 0.3× 20 0.3× 74 1.1k
Naghmeh Karimi United States 14 517 1.3× 141 0.4× 476 2.1× 168 1.4× 42 0.5× 77 730
Gautham N. Chinya United States 10 190 0.5× 224 0.6× 270 1.2× 62 0.5× 44 0.6× 15 420
Gilles Sassatelli France 18 521 1.3× 619 1.6× 659 2.9× 138 1.1× 76 1.0× 130 1.1k
Xiaochen Guo United States 13 396 1.0× 221 0.6× 259 1.1× 58 0.5× 35 0.4× 37 603
Supreet Jeloka United States 10 724 1.8× 197 0.5× 373 1.6× 92 0.7× 29 0.4× 23 866
Mohammad Nasim Imtiaz Khan United States 12 419 1.0× 471 1.2× 161 0.7× 216 1.7× 35 0.4× 44 801
Behnam Khaleghi United States 16 577 1.4× 125 0.3× 218 1.0× 185 1.5× 18 0.2× 51 744

Countries citing papers authored by Javier Navaridas

Since Specialization
Citations

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

Fields of papers citing papers by Javier Navaridas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Navaridas

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Navaridas. A scholar is included among the top collaborators of Javier Navaridas 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 Javier Navaridas. Javier Navaridas 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.
Navaridas, Javier, et al.. (2025). A Review of Federated Learning Applications in Intrusion Detection Systems. Computer Networks. 258. 111023–111023. 10 indexed citations
2.
Navaridas, Javier, et al.. (2023). Understanding the Impact of Arbitration in MZI-Based Beneš Switching Fabrics. IEEE Transactions on Parallel and Distributed Systems. 35(2). 338–348. 1 indexed citations
3.
Navaridas, Javier, et al.. (2023). Parallelizing Multipacting Simulation for the Design of Particle Accelerator Components. 3. 149–153. 1 indexed citations
4.
Navaridas, Javier, et al.. (2019). INRFlow: An interconnection networks research flow-level simulation framework. Journal of Parallel and Distributed Computing. 130. 140–152. 10 indexed citations
5.
Navaridas, Javier, et al.. (2019). Toward FPGA-Based HPC: Advancing Interconnect Technologies. IEEE Micro. 40(1). 25–34. 22 indexed citations
6.
Ashworth, Mike, et al.. (2018). Enabling shared memory communication in networks of MPSoCs. Concurrency and Computation Practice and Experience. 31(21). 5 indexed citations
7.
Navaridas, Javier, et al.. (2018). On the effects of allocation strategies for exascale computing systems with distributed storage and unified interconnects. Concurrency and Computation Practice and Experience. 31(21). 1 indexed citations
8.
Werner, Sebastian, Javier Navaridas, & Mikel Luján. (2018). A Survey on Optical Network-on-Chip Architectures. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
9.
Zhang, Guangda, Wei Song, Jim Garside, Javier Navaridas, & Zhiying Wang. (2017). Handling Physical-Layer Deadlock Caused by Permanent Faults in Quasi-Delay-Insensitive Networks-on-Chip. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 25(11). 3152–3165. 4 indexed citations
10.
Werner, Sebastian, Javier Navaridas, & Mikel Luján. (2017). Subchannel Scheduling for Shared Optical On-chip Buses. Research Explorer (The University of Manchester). 49–56. 4 indexed citations
11.
Ammendola, Roberto, A. Biagioni, Ottorino Frezza, et al.. (2017). Low latency network and distributed storage for next generation HPC systems: the ExaNeSt project. Journal of Physics Conference Series. 898. 82045–82045. 1 indexed citations
12.
Navaridas, Javier, et al.. (2015). An efficient shortest-path routing algorithm in the data centre network {DP}illar. arXiv (Cornell University). 1 indexed citations
13.
Navaridas, Javier, et al.. (2015). Routing Algorithms for Recursively-Defined Data Centre Networks. 3. 84–91. 2 indexed citations
14.
Navaridas, Javier, et al.. (2015). Routing Algorithms for Recursively-Defined Data Centre Networks. 2015 IEEE Trustcom/BigDataSE/ISPA. 173. 84–91. 3 indexed citations
15.
Ndu, Geoffrey, Javier Navaridas, & Mikel Luján. (2015). CHO. 1–10. 12 indexed citations
16.
Navaridas, Javier, Mikel Luján, Luis A. Plana, Steve Temple, & Steve Furber. (2015). SpiNNaker: Enhanced multicast routing. Parallel Computing. 45. 49–66. 22 indexed citations
17.
Zhang, Guangda, Wei Song, Jim Garside, Javier Navaridas, & Zhiying Wang. (2014). An Asynchronous SDM Network-on-Chip Tolerating Permanent Faults. Research Explorer (The University of Manchester). 9–16. 3 indexed citations
18.
Rast, Alexander, Javier Navaridas, Xin Jin, et al.. (2011). Managing Burstiness and Scalability in Event-Driven Models on the SpiNNaker Neuromimetic System. International Journal of Parallel Programming. 40(6). 553–582. 8 indexed citations
19.
Navaridas, Javier, et al.. (2008). On synthesizing workloads emulating MPI applications. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–8. 12 indexed citations
20.
Navaridas, Javier, et al.. (2007). Realistic Evaluation of Interconnection Network Performance at High Loads. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 97–104. 16 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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