Julita Corbalán

1.6k total citations
58 papers, 750 citations indexed

About

Julita Corbalán is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Julita Corbalán has authored 58 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Networks and Communications, 48 papers in Hardware and Architecture and 27 papers in Information Systems. Recurrent topics in Julita Corbalán's work include Parallel Computing and Optimization Techniques (48 papers), Distributed and Parallel Computing Systems (45 papers) and Cloud Computing and Resource Management (27 papers). Julita Corbalán is often cited by papers focused on Parallel Computing and Optimization Techniques (48 papers), Distributed and Parallel Computing Systems (45 papers) and Cloud Computing and Resource Management (27 papers). Julita Corbalán collaborates with scholars based in Spain, United States and Poland. Julita Corbalán's co-authors include Jesús Labarta, Mateo Valero, Xavier Martorell, Iván Rodero, Francesc Guim, A. Duran, Eduard Ayguadé, Marc González, Alejandro Durán and Liana Fong and has published in prestigious journals such as Future Generation Computer Systems, IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing.

In The Last Decade

Julita Corbalán

52 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julita Corbalán Spain 17 653 533 389 77 27 58 750
Susan Coghlan United States 16 557 0.9× 337 0.6× 348 0.9× 90 1.2× 72 2.7× 27 661
Graham E. Fagg United States 17 836 1.3× 644 1.2× 184 0.5× 89 1.2× 66 2.4× 38 938
Jinkyu Jeong South Korea 15 667 1.0× 508 1.0× 399 1.0× 159 2.1× 46 1.7× 60 842
Brice Goglin France 12 506 0.8× 474 0.9× 153 0.4× 36 0.5× 34 1.3× 33 569
Eric Van Hensbergen United States 12 501 0.8× 417 0.8× 284 0.7× 144 1.9× 55 2.0× 27 642
Jason Duell United States 7 703 1.1× 520 1.0× 237 0.6× 71 0.9× 47 1.7× 8 760
R. Biswas United States 11 311 0.5× 222 0.4× 121 0.3× 50 0.6× 61 2.3× 32 434
Kevin Harms United States 13 696 1.1× 355 0.7× 231 0.6× 39 0.5× 38 1.4× 43 794
R.A.F. Bhoedjang Netherlands 14 600 0.9× 497 0.9× 176 0.5× 26 0.3× 64 2.4× 25 689
Kevin O’Brien United States 13 488 0.7× 575 1.1× 108 0.3× 86 1.1× 58 2.1× 30 647

Countries citing papers authored by Julita Corbalán

Since Specialization
Citations

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

Fields of papers citing papers by Julita Corbalán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julita Corbalán

This figure shows the co-authorship network connecting the top 25 collaborators of Julita Corbalán. A scholar is included among the top collaborators of Julita Corbalán 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 Julita Corbalán. Julita Corbalán 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.
2.
Klusáček, Dalibor, et al.. (2023). Job Scheduling Strategies for Parallel Processing. Lecture notes in computer science.
3.
Carracedo, Fermín Sánchez, et al.. (2018). A proposal to develop and assess professional skills in Engineering Final Year Projects. International journal of engineering education. 34(2). 400–413. 4 indexed citations
4.
Corbalán, Julita, et al.. (2011). Linear programming based parallel job scheduling for power constrained systems. 20 indexed citations
5.
Corbalán, Julita, et al.. (2010). BSLD threshold driven power management policy for HPC centers. QRU Quaderns de Recerca en Urbanisme. 0 1. 1–8. 2 indexed citations
6.
Corbalán, Julita, et al.. (2010). Optimizing job performance under a given power constraint in HPC centers. UPCommons institutional repository (Universitat Politècnica de Catalunya). 257–267. 44 indexed citations
7.
Rodero, Iván, Francesc Guim, & Julita Corbalán. (2009). Evaluation of Coordinated Grid Scheduling Strategies. 38. 1–10. 24 indexed citations
8.
Guim, Francesc, Iván Rodero, Marta García-Gasulla, & Julita Corbalán. (2008). The XtreemOS jScheduler: using self-scheduling techniques in large computing architectures. 59(1). 3–136. 1 indexed citations
9.
Kertész, Attila, Péter Kacsuk, Iván Rodero, Francesc Guim, & Julita Corbalán. (2007). Meta-Brokering requirements and research directions in state-of-the-art Grid Resource Management. WestminsterResearch (University of Westminster). 10 indexed citations
10.
Guim, Francesc, Iván Rodero, Julita Corbalán, et al.. (2007). Uniform job monitoring in the HPC-Europa project: data model, API and services. International Journal of Web and Grid Services. 3(3). 333–333. 2 indexed citations
11.
Guim, Francesc, Julita Corbalán, & Jesús Labarta. (2007). Prediction f based models for evaluating backfilling scheduling policies. 2537. 9–17. 1 indexed citations
12.
Durán, Alejandro, Marc González, & Julita Corbalán. (2005). Automatic thread distribution for nested parallelism in OpenMP. 121–130. 27 indexed citations
13.
Corbalán, Julita, et al.. (2004). Implementing Malleability on MPI Jobs. International Conference on Parallel Architectures and Compilation Techniques. 215–224. 25 indexed citations
14.
Corbalán, Julita, A. Duran, & Jesús Labarta. (2004). Dynamic load balancing of MPI+OpenMP applications. Proceedings of the International Conference on Parallel Processing. 195–202. 21 indexed citations
15.
Corbalán, Julita, Xavier Martorell, & Jesús Labarta. (2004). Page Migration with Dynamic Space-Sharing Scheduling Policies: The Case of the SGI O2000. International Journal of Parallel Programming. 32(4). 263–288. 14 indexed citations
16.
Corbalán, Julita, Xavier Martorell, & Jesús Labarta. (2003). Evaluation of the memory page migration influence in the system performance. 1 indexed citations
17.
Corbalán, Julita, Xavier Martorell, & Jesús Labarta. (2001). Improving Gang Scheduling through job performance analysis and malleability. 303–311. 10 indexed citations
18.
Corbalán, Julita, Xavier Martorell, & Jesús Labarta. (2000). Performance-driven processor allocation. Operating Systems Design and Implementation. 5. 16 indexed citations
19.
Martorell, Xavier, Eduard Ayguadé, Nacho Navarro, et al.. (1999). Thread fork/join techniques for multi-level parallelism exploitation in NUMA multiprocessors. QRU Quaderns de Recerca en Urbanisme. 294–301. 33 indexed citations
20.
Calidonna, Claudia Roberta, Julita Corbalán, Maurizio Giordano, et al.. (1999). NANOS: Effective Integration of Fine-grain Parallelism Exploitation and Multiprogramming. 3 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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